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fix: remove canonical Anthropic skill duplicates
This commit is contained in:
Affaan Mustafa
Affaan Mustafa
parent
06f9eca8e2
commit
95ce9eaaeb
@ -1,336 +0,0 @@
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---
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name: claude-api
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description: Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.
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---
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# Claude API
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Build applications with the Anthropic Claude API and SDKs.
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## When to Activate
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- Building applications that call the Claude API
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- Code imports `anthropic` (Python) or `@anthropic-ai/sdk` (TypeScript)
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- User asks about Claude API patterns, tool use, streaming, or vision
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- Implementing agent workflows with Claude Agent SDK
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- Optimizing API costs, token usage, or latency
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## Model Selection
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| Model | ID | Best For |
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|-------|-----|----------|
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| Opus 4.6 | `claude-opus-4-6` | Complex reasoning, architecture, research |
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| Sonnet 4.6 | `claude-sonnet-4-6` | Balanced coding, most development tasks |
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| Haiku 4.5 | `claude-haiku-4-5-20251001` | Fast responses, high-volume, cost-sensitive |
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Default to Sonnet 4.6 unless the task requires deep reasoning (Opus) or speed/cost optimization (Haiku).
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## Python SDK
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### Installation
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```bash
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pip install anthropic
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```
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### Basic Message
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```python
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import anthropic
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client = anthropic.Anthropic() # reads ANTHROPIC_API_KEY from env
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message = client.messages.create(
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model="claude-sonnet-4-6",
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max_tokens=1024,
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messages=[
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{"role": "user", "content": "Explain async/await in Python"}
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]
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)
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print(message.content[0].text)
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```
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### Streaming
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```python
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with client.messages.stream(
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model="claude-sonnet-4-6",
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max_tokens=1024,
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messages=[{"role": "user", "content": "Write a haiku about coding"}]
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) as stream:
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for text in stream.text_stream:
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print(text, end="", flush=True)
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```
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### System Prompt
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```python
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message = client.messages.create(
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model="claude-sonnet-4-6",
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max_tokens=1024,
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system="You are a senior Python developer. Be concise.",
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messages=[{"role": "user", "content": "Review this function"}]
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)
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```
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## TypeScript SDK
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### Installation
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```bash
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npm install @anthropic-ai/sdk
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```
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### Basic Message
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```typescript
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import Anthropic from "@anthropic-ai/sdk";
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const client = new Anthropic(); // reads ANTHROPIC_API_KEY from env
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const message = await client.messages.create({
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model: "claude-sonnet-4-6",
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max_tokens: 1024,
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messages: [
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{ role: "user", content: "Explain async/await in TypeScript" }
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],
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});
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console.log(message.content[0].text);
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```
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### Streaming
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```typescript
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const stream = client.messages.stream({
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model: "claude-sonnet-4-6",
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max_tokens: 1024,
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messages: [{ role: "user", content: "Write a haiku" }],
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});
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for await (const event of stream) {
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if (event.type === "content_block_delta" && event.delta.type === "text_delta") {
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process.stdout.write(event.delta.text);
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}
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}
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```
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## Tool Use
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Define tools and let Claude call them:
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```python
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tools = [
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{
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"name": "get_weather",
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"description": "Get current weather for a location",
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"input_schema": {
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"type": "object",
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"properties": {
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"location": {"type": "string", "description": "City name"},
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"unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}
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},
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"required": ["location"]
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}
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}
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]
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message = client.messages.create(
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model="claude-sonnet-4-6",
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max_tokens=1024,
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tools=tools,
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messages=[{"role": "user", "content": "What's the weather in SF?"}]
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)
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# Handle tool use response
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for block in message.content:
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if block.type == "tool_use":
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# Execute the tool with block.input
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result = get_weather(**block.input)
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# Send result back
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follow_up = client.messages.create(
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model="claude-sonnet-4-6",
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max_tokens=1024,
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tools=tools,
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messages=[
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{"role": "user", "content": "What's the weather in SF?"},
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{"role": "assistant", "content": message.content},
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{"role": "user", "content": [
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{"type": "tool_result", "tool_use_id": block.id, "content": str(result)}
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]}
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]
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)
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```
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## Vision
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Send images for analysis:
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```python
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import base64
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with open("diagram.png", "rb") as f:
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image_data = base64.standard_b64encode(f.read()).decode("utf-8")
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message = client.messages.create(
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model="claude-sonnet-4-6",
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max_tokens=1024,
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messages=[{
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"role": "user",
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"content": [
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{"type": "image", "source": {"type": "base64", "media_type": "image/png", "data": image_data}},
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{"type": "text", "text": "Describe this diagram"}
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]
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}]
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)
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```
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## Extended Thinking
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For complex reasoning tasks:
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```python
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message = client.messages.create(
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model="claude-sonnet-4-6",
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max_tokens=16000,
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thinking={
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"type": "enabled",
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"budget_tokens": 10000
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},
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messages=[{"role": "user", "content": "Solve this math problem step by step..."}]
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)
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for block in message.content:
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if block.type == "thinking":
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print(f"Thinking: {block.thinking}")
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elif block.type == "text":
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print(f"Answer: {block.text}")
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```
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## Prompt Caching
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Cache large system prompts or context to reduce costs:
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```python
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message = client.messages.create(
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model="claude-sonnet-4-6",
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max_tokens=1024,
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system=[
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{"type": "text", "text": large_system_prompt, "cache_control": {"type": "ephemeral"}}
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],
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messages=[{"role": "user", "content": "Question about the cached context"}]
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)
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# Check cache usage
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print(f"Cache read: {message.usage.cache_read_input_tokens}")
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print(f"Cache creation: {message.usage.cache_creation_input_tokens}")
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```
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## Batches API
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Process large volumes asynchronously at 50% cost reduction:
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```python
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import time
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batch = client.messages.batches.create(
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requests=[
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{
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"custom_id": f"request-{i}",
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"params": {
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"model": "claude-sonnet-4-6",
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"max_tokens": 1024,
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"messages": [{"role": "user", "content": prompt}]
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}
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}
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for i, prompt in enumerate(prompts)
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]
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)
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# Poll for completion
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while True:
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status = client.messages.batches.retrieve(batch.id)
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if status.processing_status == "ended":
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break
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time.sleep(30)
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# Get results
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for result in client.messages.batches.results(batch.id):
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print(result.result.message.content[0].text)
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```
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## Claude Agent SDK
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Build multi-step agents:
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```python
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# Note: Agent SDK API surface may change — check official docs
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import anthropic
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# Define tools as functions
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tools = [{
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"name": "search_codebase",
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"description": "Search the codebase for relevant code",
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"input_schema": {
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"type": "object",
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"properties": {"query": {"type": "string"}},
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"required": ["query"]
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}
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}]
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# Run an agentic loop with tool use
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client = anthropic.Anthropic()
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messages = [{"role": "user", "content": "Review the auth module for security issues"}]
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while True:
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response = client.messages.create(
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model="claude-sonnet-4-6",
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max_tokens=4096,
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tools=tools,
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messages=messages,
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)
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if response.stop_reason == "end_turn":
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break
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# Handle tool calls and continue the loop
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messages.append({"role": "assistant", "content": response.content})
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# ... execute tools and append tool_result messages
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```
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## Cost Optimization
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| Strategy | Savings | When to Use |
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|----------|---------|-------------|
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| Prompt caching | Up to 90% on cached tokens | Repeated system prompts or context |
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| Batches API | 50% | Non-time-sensitive bulk processing |
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| Haiku instead of Sonnet | ~75% | Simple tasks, classification, extraction |
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| Shorter max_tokens | Variable | When you know output will be short |
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| Streaming | None (same cost) | Better UX, same price |
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## Error Handling
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```python
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import time
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from anthropic import APIError, RateLimitError, APIConnectionError
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try:
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message = client.messages.create(...)
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except RateLimitError:
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# Back off and retry
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time.sleep(60)
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except APIConnectionError:
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# Network issue, retry with backoff
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pass
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except APIError as e:
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print(f"API error {e.status_code}: {e.message}")
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```
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## Environment Setup
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```bash
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# Required
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export ANTHROPIC_API_KEY="your-api-key-here"
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# Optional: set default model
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export ANTHROPIC_MODEL="claude-sonnet-4-6"
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```
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Never hardcode API keys. Always use environment variables.
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@ -1,7 +0,0 @@
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interface:
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display_name: "Claude API"
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short_description: "Claude API patterns for Python and TypeScript"
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brand_color: "#D97706"
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default_prompt: "Use $claude-api to build with Claude API and Anthropic SDK patterns."
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policy:
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allow_implicit_invocation: true
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@ -1,144 +0,0 @@
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---
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name: frontend-design
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description: Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.
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---
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# Frontend Design
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Use this when the task is not just "make it work" but "make it look designed."
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This skill is for product pages, dashboards, app shells, components, or visual systems that need a clear point of view instead of generic AI-looking UI.
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## When To Use
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- building a landing page, dashboard, or app surface from scratch
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- upgrading a bland interface into something intentional and memorable
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- translating a product concept into a concrete visual direction
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- implementing a frontend where typography, composition, and motion matter
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## Core Principle
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Pick a direction and commit to it.
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Safe-average UI is usually worse than a strong, coherent aesthetic with a few bold choices.
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## Design Workflow
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### 1. Frame the interface first
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Before coding, settle:
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- purpose
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- audience
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- emotional tone
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- visual direction
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- one thing the user should remember
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Possible directions:
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- brutally minimal
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- editorial
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- industrial
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- luxury
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- playful
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- geometric
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- retro-futurist
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- soft and organic
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- maximalist
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Do not mix directions casually. Choose one and execute it cleanly.
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### 2. Build the visual system
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Define:
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- type hierarchy
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- color variables
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- spacing rhythm
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- layout logic
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- motion rules
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- surface / border / shadow treatment
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Use CSS variables or the project's token system so the interface stays coherent as it grows.
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### 3. Compose with intention
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Prefer:
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- asymmetry when it sharpens hierarchy
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- overlap when it creates depth
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- strong whitespace when it clarifies focus
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- dense layouts only when the product benefits from density
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Avoid defaulting to a symmetrical card grid unless it is clearly the right fit.
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### 4. Make motion meaningful
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Use animation to:
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- reveal hierarchy
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- stage information
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- reinforce user action
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- create one or two memorable moments
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Do not scatter generic micro-interactions everywhere. One well-directed load sequence is usually stronger than twenty random hover effects.
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## Strong Defaults
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### Typography
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- pick fonts with character
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- pair a distinctive display face with a readable body face when appropriate
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- avoid generic defaults when the page is design-led
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### Color
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- commit to a clear palette
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- one dominant field with selective accents usually works better than evenly weighted rainbow palettes
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- avoid cliché purple-gradient-on-white unless the product genuinely calls for it
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### Background
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Use atmosphere:
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- gradients
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- meshes
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- textures
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- subtle noise
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- patterns
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- layered transparency
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Flat empty backgrounds are rarely the best answer for a product-facing page.
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### Layout
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- break the grid when the composition benefits from it
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- use diagonals, offsets, and grouping intentionally
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- keep reading flow obvious even when the layout is unconventional
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## Anti-Patterns
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Never default to:
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- interchangeable SaaS hero sections
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- generic card piles with no hierarchy
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- random accent colors without a system
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- placeholder-feeling typography
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- motion that exists only because animation was easy to add
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## Execution Rules
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- preserve the established design system when working inside an existing product
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- match technical complexity to the visual idea
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- keep accessibility and responsiveness intact
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- frontends should feel deliberate on desktop and mobile
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## Quality Gate
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Before delivering:
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- the interface has a clear visual point of view
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- typography and spacing feel intentional
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- color and motion support the product instead of decorating it randomly
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- the result does not read like generic AI UI
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- the implementation is production-grade, not just visually interesting
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@ -1,7 +0,0 @@
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interface:
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display_name: "Frontend Design"
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short_description: "Production-grade frontend interface design"
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brand_color: "#0EA5E9"
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default_prompt: "Use $frontend-design to build a distinctive production-grade interface."
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policy:
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allow_implicit_invocation: true
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@ -11,7 +11,7 @@
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{
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"name": "everything-claude-code",
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"source": "./",
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"description": "The most comprehensive Claude Code plugin — 48 agents, 184 skills, 68 legacy command shims, selective install profiles, and production-ready hooks for TDD, security scanning, code review, and continuous learning",
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"description": "The most comprehensive Claude Code plugin — 48 agents, 182 skills, 68 legacy command shims, selective install profiles, and production-ready hooks for TDD, security scanning, code review, and continuous learning",
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"version": "2.0.0-rc.1",
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"author": {
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"name": "Affaan Mustafa",
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@ -1,7 +1,7 @@
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{
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"name": "everything-claude-code",
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"version": "2.0.0-rc.1",
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"description": "Battle-tested Claude Code plugin for engineering teams — 48 agents, 184 skills, 68 legacy command shims, production-ready hooks, and selective install workflows evolved through continuous real-world use",
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"description": "Battle-tested Claude Code plugin for engineering teams — 48 agents, 182 skills, 68 legacy command shims, production-ready hooks, and selective install workflows evolved through continuous real-world use",
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"author": {
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"name": "Affaan Mustafa",
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"url": "https://x.com/affaanmustafa"
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@ -12,7 +12,7 @@ This directory contains the **Codex plugin manifest** for Everything Claude Code
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## What This Provides
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- **156 skills** from `./skills/` — reusable Codex workflows for TDD, security,
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- **182 skills** from `./skills/` — reusable Codex workflows for TDD, security,
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code review, architecture, and more
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- **6 MCP servers** — GitHub, Context7, Exa, Memory, Playwright, Sequential Thinking
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@ -1,7 +1,7 @@
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{
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"name": "ecc",
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"version": "2.0.0-rc.1",
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"description": "Battle-tested Codex workflows — 156 shared ECC skills, production-ready MCP configs, and selective-install-aligned conventions for TDD, security scanning, code review, and autonomous development.",
|
||||
"description": "Battle-tested Codex workflows — 182 shared ECC skills, production-ready MCP configs, and selective-install-aligned conventions for TDD, security scanning, code review, and autonomous development.",
|
||||
"author": {
|
||||
"name": "Affaan Mustafa",
|
||||
"email": "me@affaanmustafa.com",
|
||||
@ -15,7 +15,7 @@
|
||||
"mcpServers": "./.mcp.json",
|
||||
"interface": {
|
||||
"displayName": "Everything Claude Code",
|
||||
"shortDescription": "156 battle-tested ECC skills plus MCP configs for TDD, security, code review, and autonomous development.",
|
||||
"shortDescription": "182 battle-tested ECC skills plus MCP configs for TDD, security, code review, and autonomous development.",
|
||||
"longDescription": "Everything Claude Code (ECC) is a community-maintained collection of Codex-ready skills and MCP configs evolved over 10+ months of intensive daily use. It covers TDD workflows, security scanning, code review, architecture decisions, operator workflows, and more — all in one installable plugin.",
|
||||
"developerName": "Affaan Mustafa",
|
||||
"category": "Productivity",
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# Everything Claude Code (ECC) — Agent Instructions
|
||||
|
||||
This is a **production-ready AI coding plugin** providing 48 specialized agents, 184 skills, 68 commands, and automated hook workflows for software development.
|
||||
This is a **production-ready AI coding plugin** providing 48 specialized agents, 182 skills, 68 commands, and automated hook workflows for software development.
|
||||
|
||||
**Version:** 2.0.0-rc.1
|
||||
|
||||
@ -146,7 +146,7 @@ Troubleshoot failures: check test isolation → verify mocks → fix implementat
|
||||
|
||||
```
|
||||
agents/ — 48 specialized subagents
|
||||
skills/ — 184 workflow skills and domain knowledge
|
||||
skills/ — 182 workflow skills and domain knowledge
|
||||
commands/ — 68 slash commands
|
||||
hooks/ — Trigger-based automations
|
||||
rules/ — Always-follow guidelines (common + per-language)
|
||||
|
||||
16
README.md
16
README.md
@ -89,7 +89,7 @@ This repo is the raw code only. The guides explain everything.
|
||||
### v2.0.0-rc.1 — Surface Refresh, Operator Workflows, and ECC 2.0 Alpha (Apr 2026)
|
||||
|
||||
- **Dashboard GUI** — New Tkinter-based desktop application (`ecc_dashboard.py` or `npm run dashboard`) with dark/light theme toggle, font customization, and project logo in header and taskbar.
|
||||
- **Public surface synced to the live repo** — metadata, catalog counts, plugin manifests, and install-facing docs now match the actual OSS surface: 48 agents, 184 skills, and 68 legacy command shims.
|
||||
- **Public surface synced to the live repo** — metadata, catalog counts, plugin manifests, and install-facing docs now match the actual OSS surface: 48 agents, 182 skills, and 68 legacy command shims.
|
||||
- **Operator and outbound workflow expansion** — `brand-voice`, `social-graph-ranker`, `connections-optimizer`, `customer-billing-ops`, `ecc-tools-cost-audit`, `google-workspace-ops`, `project-flow-ops`, and `workspace-surface-audit` round out the operator lane.
|
||||
- **Media and launch tooling** — `manim-video`, `remotion-video-creation`, and upgraded social publishing surfaces make technical explainers and launch content part of the same system.
|
||||
- **Framework and product surface growth** — `nestjs-patterns`, richer Codex/OpenCode install surfaces, and expanded cross-harness packaging keep the repo usable beyond Claude Code alone.
|
||||
@ -312,7 +312,7 @@ If you stacked methods, clean up in this order:
|
||||
/plugin list everything-claude-code@everything-claude-code
|
||||
```
|
||||
|
||||
**That's it!** You now have access to 48 agents, 184 skills, and 68 legacy command shims.
|
||||
**That's it!** You now have access to 48 agents, 182 skills, and 68 legacy command shims.
|
||||
|
||||
### Dashboard GUI
|
||||
|
||||
@ -1198,7 +1198,7 @@ Codex macOS app:
|
||||
|-----------|-------|---------|
|
||||
| Config | 1 | `.codex/config.toml` — top-level approvals/sandbox/web_search, MCP servers, notifications, profiles |
|
||||
| AGENTS.md | 2 | Root (universal) + `.codex/AGENTS.md` (Codex-specific supplement) |
|
||||
| Skills | 30 | `.agents/skills/` — SKILL.md + agents/openai.yaml per skill |
|
||||
| Skills | 32 | `.agents/skills/` — SKILL.md + agents/openai.yaml per skill |
|
||||
| MCP Servers | 6 | GitHub, Context7, Exa, Memory, Playwright, Sequential Thinking (7 with Supabase via `--update-mcp` sync) |
|
||||
| Profiles | 2 | `strict` (read-only sandbox) and `yolo` (full auto-approve) |
|
||||
| Agent Roles | 3 | `.codex/agents/` — explorer, reviewer, docs-researcher |
|
||||
@ -1207,14 +1207,17 @@ Codex macOS app:
|
||||
|
||||
Skills at `.agents/skills/` are auto-loaded by Codex:
|
||||
|
||||
Canonical Anthropic skills such as `claude-api`, `frontend-design`, and `skill-creator` are intentionally not re-bundled here. Install those from [`anthropics/skills`](https://github.com/anthropics/skills) when you want the official versions.
|
||||
|
||||
| Skill | Description |
|
||||
|-------|-------------|
|
||||
| agent-introspection-debugging | Debug agent behavior, routing, and prompt boundaries |
|
||||
| agent-sort | Sort agent catalogs and assignment surfaces |
|
||||
| api-design | REST API design patterns |
|
||||
| article-writing | Long-form writing from notes and voice references |
|
||||
| backend-patterns | API design, database, caching |
|
||||
| brand-voice | Source-derived writing style profiles from real content |
|
||||
| bun-runtime | Bun as runtime, package manager, bundler, and test runner |
|
||||
| claude-api | Anthropic Claude API patterns for Python and TypeScript |
|
||||
| coding-standards | Universal coding standards |
|
||||
| content-engine | Platform-native social content and repurposing |
|
||||
| crosspost | Multi-platform content distribution across X, LinkedIn, Threads |
|
||||
@ -1233,6 +1236,7 @@ Skills at `.agents/skills/` are auto-loaded by Codex:
|
||||
| market-research | Source-attributed market and competitor research |
|
||||
| mcp-server-patterns | Build MCP servers with Node/TypeScript SDK |
|
||||
| nextjs-turbopack | Next.js 16+ and Turbopack incremental bundling |
|
||||
| product-capability | Translate product goals into scoped capability maps |
|
||||
| security-review | Comprehensive security checklist |
|
||||
| strategic-compact | Context management |
|
||||
| tdd-workflow | Test-driven development with 80%+ coverage |
|
||||
@ -1285,7 +1289,7 @@ The configuration is automatically detected from `.opencode/opencode.json`.
|
||||
|---------|-------------|----------|--------|
|
||||
| Agents | PASS: 48 agents | PASS: 12 agents | **Claude Code leads** |
|
||||
| Commands | PASS: 68 commands | PASS: 31 commands | **Claude Code leads** |
|
||||
| Skills | PASS: 184 skills | PASS: 37 skills | **Claude Code leads** |
|
||||
| Skills | PASS: 182 skills | PASS: 37 skills | **Claude Code leads** |
|
||||
| Hooks | PASS: 8 event types | PASS: 11 events | **OpenCode has more!** |
|
||||
| Rules | PASS: 29 rules | PASS: 13 instructions | **Claude Code leads** |
|
||||
| MCP Servers | PASS: 14 servers | PASS: Full | **Full parity** |
|
||||
@ -1390,7 +1394,7 @@ ECC is the **first plugin to maximize every major AI coding tool**. Here's how e
|
||||
|---------|------------|------------|-----------|----------|
|
||||
| **Agents** | 48 | Shared (AGENTS.md) | Shared (AGENTS.md) | 12 |
|
||||
| **Commands** | 68 | Shared | Instruction-based | 31 |
|
||||
| **Skills** | 184 | Shared | 10 (native format) | 37 |
|
||||
| **Skills** | 182 | Shared | 10 (native format) | 37 |
|
||||
| **Hook Events** | 8 types | 15 types | None yet | 11 types |
|
||||
| **Hook Scripts** | 20+ scripts | 16 scripts (DRY adapter) | N/A | Plugin hooks |
|
||||
| **Rules** | 34 (common + lang) | 34 (YAML frontmatter) | Instruction-based | 13 instructions |
|
||||
|
||||
@ -160,7 +160,7 @@ Copy-Item -Recurse rules/typescript "$HOME/.claude/rules/"
|
||||
/plugin list everything-claude-code@everything-claude-code
|
||||
```
|
||||
|
||||
**完成！** 你现在可以使用 48 个代理、184 个技能和 68 个命令。
|
||||
**完成！** 你现在可以使用 48 个代理、182 个技能和 68 个命令。
|
||||
|
||||
### multi-* 命令需要额外配置
|
||||
|
||||
|
||||
@ -28,7 +28,6 @@ skills:
|
||||
- canary-watch
|
||||
- carrier-relationship-management
|
||||
- ck
|
||||
- claude-api
|
||||
- claude-devfleet
|
||||
- click-path-audit
|
||||
- clickhouse-io
|
||||
|
||||
@ -58,7 +58,7 @@ claude plugin install typescript-lsp@claude-plugins-official
|
||||
|
||||
**ワークフロー:**
|
||||
- `commit-commands` - Gitワークフロー
|
||||
- `frontend-design` - UIパターン
|
||||
- `frontend-patterns` - UIパターン
|
||||
- `feature-dev` - 機能開発
|
||||
|
||||
---
|
||||
|
||||
@ -292,7 +292,7 @@ Bu da geçerli bir seçimdir ve Claude Code ile iyi çalışır. LSP işlevselli
|
||||
|
||||
```markdown
|
||||
ralph-wiggum@claude-code-plugins # Loop otomasyonu
|
||||
frontend-design@claude-code-plugins # UI/UX desenleri
|
||||
frontend-patterns@claude-code-plugins # UI/UX desenleri
|
||||
commit-commands@claude-code-plugins # Git iş akışı
|
||||
security-guidance@claude-code-plugins # Güvenlik kontrolleri
|
||||
pr-review-toolkit@claude-code-plugins # PR otomasyonu
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# Everything Claude Code (ECC) — 智能体指令
|
||||
|
||||
这是一个**生产就绪的 AI 编码插件**，提供 48 个专业代理、184 项技能、68 条命令以及自动化钩子工作流，用于软件开发。
|
||||
这是一个**生产就绪的 AI 编码插件**，提供 48 个专业代理、182 项技能、68 条命令以及自动化钩子工作流，用于软件开发。
|
||||
|
||||
**版本:** 2.0.0-rc.1
|
||||
|
||||
@ -147,7 +147,7 @@
|
||||
|
||||
```
|
||||
agents/ — 48 个专业子代理
|
||||
skills/ — 184 个工作流技能和领域知识
|
||||
skills/ — 182 个工作流技能和领域知识
|
||||
commands/ — 68 个斜杠命令
|
||||
hooks/ — 基于触发的自动化
|
||||
rules/ — 始终遵循的指导方针（通用 + 每种语言）
|
||||
|
||||
@ -215,7 +215,7 @@ Copy-Item -Recurse rules/typescript "$HOME/.claude/rules/"
|
||||
/plugin list everything-claude-code@everything-claude-code
|
||||
```
|
||||
|
||||
**搞定！** 你现在可以使用 48 个智能体、184 项技能和 68 个命令了。
|
||||
**搞定！** 你现在可以使用 48 个智能体、182 项技能和 68 个命令了。
|
||||
|
||||
***
|
||||
|
||||
@ -1034,7 +1034,7 @@ Codex macOS 应用：
|
||||
|-----------|-------|---------|
|
||||
| 配置 | 1 | `.codex/config.toml` —— 顶级 approvals/sandbox/web\_search, MCP 服务器，通知，配置文件 |
|
||||
| AGENTS.md | 2 | 根目录（通用）+ `.codex/AGENTS.md`（Codex 特定补充） |
|
||||
| 技能 | 16 | `.agents/skills/` —— SKILL.md + agents/openai.yaml 每个技能 |
|
||||
| 技能 | 32 | `.agents/skills/` —— SKILL.md + agents/openai.yaml 每个技能 |
|
||||
| MCP 服务器 | 4 | GitHub, Context7, Memory, Sequential Thinking（基于命令） |
|
||||
| 配置文件 | 2 | `strict`（只读沙箱）和 `yolo`（完全自动批准） |
|
||||
| 代理角色 | 3 | `.codex/agents/` —— explorer, reviewer, docs-researcher |
|
||||
@ -1043,24 +1043,42 @@ Codex macOS 应用：
|
||||
|
||||
位于 `.agents/skills/` 的技能会被 Codex 自动加载：
|
||||
|
||||
`claude-api`、`frontend-design` 和 `skill-creator` 等 Anthropic 官方技能不会在此重复打包。需要这些官方版本时，请从 [`anthropics/skills`](https://github.com/anthropics/skills) 安装。
|
||||
|
||||
| 技能 | 描述 |
|
||||
|-------|-------------|
|
||||
| tdd-workflow | 测试驱动开发，覆盖率 80%+ |
|
||||
| security-review | 全面的安全检查清单 |
|
||||
| coding-standards | 通用编码标准 |
|
||||
| frontend-patterns | React/Next.js 模式 |
|
||||
| frontend-slides | HTML 演示文稿、PPTX 转换、视觉风格探索 |
|
||||
| agent-introspection-debugging | 调试智能体行为、路由和提示边界 |
|
||||
| agent-sort | 整理智能体目录和分配表面 |
|
||||
| api-design | REST API 设计模式 |
|
||||
| article-writing | 根据笔记和语音参考进行长文写作 |
|
||||
| content-engine | 平台原生的社交内容和再利用 |
|
||||
| market-research | 带来源归属的市场和竞争对手研究 |
|
||||
| investor-materials | 幻灯片、备忘录、模型和一页纸文档 |
|
||||
| investor-outreach | 个性化外联、跟进和介绍摘要 |
|
||||
| backend-patterns | API 设计、数据库、缓存 |
|
||||
| brand-voice | 从真实内容中提取来源驱动的写作风格 |
|
||||
| bun-runtime | Bun 运行时、包管理器、打包器和测试运行器 |
|
||||
| coding-standards | 通用编码标准 |
|
||||
| content-engine | 平台原生的社交内容和再利用 |
|
||||
| crosspost | X、LinkedIn、Threads 等多平台内容分发 |
|
||||
| deep-research | 多源研究、综合和来源归属 |
|
||||
| dmux-workflows | 使用 tmux pane manager 进行多智能体编排 |
|
||||
| documentation-lookup | 通过 Context7 MCP 获取最新库和框架文档 |
|
||||
| e2e-testing | Playwright 端到端测试 |
|
||||
| eval-harness | 评估驱动的开发 |
|
||||
| everything-claude-code | ECC 项目的开发约定和模式 |
|
||||
| exa-search | 通过 Exa MCP 进行网络、代码和公司研究 |
|
||||
| fal-ai-media | 图像、视频和音频的统一媒体生成 |
|
||||
| frontend-patterns | React/Next.js 模式 |
|
||||
| frontend-slides | HTML 演示文稿、PPTX 转换、视觉风格探索 |
|
||||
| investor-materials | 幻灯片、备忘录、模型和一页纸文档 |
|
||||
| investor-outreach | 个性化外联、跟进和介绍摘要 |
|
||||
| market-research | 带来源归属的市场和竞争对手研究 |
|
||||
| mcp-server-patterns | 使用 Node/TypeScript SDK 构建 MCP 服务器 |
|
||||
| nextjs-turbopack | Next.js 16+ 和 Turbopack 增量打包 |
|
||||
| product-capability | 将产品目标转化为有范围的能力图 |
|
||||
| security-review | 全面的安全检查清单 |
|
||||
| strategic-compact | 上下文管理 |
|
||||
| api-design | REST API 设计模式 |
|
||||
| tdd-workflow | 测试驱动开发，覆盖率 80%+ |
|
||||
| verification-loop | 构建、测试、代码检查、类型检查、安全 |
|
||||
| video-editing | 使用 FFmpeg 和 Remotion 的 AI 辅助视频编辑工作流 |
|
||||
| x-api | X/Twitter 发帖和分析 API 集成 |
|
||||
|
||||
### 关键限制
|
||||
|
||||
@ -1107,7 +1125,7 @@ opencode
|
||||
|---------|-------------|----------|--------|
|
||||
| 智能体 | PASS: 48 个 | PASS: 12 个 | **Claude Code 领先** |
|
||||
| 命令 | PASS: 68 个 | PASS: 31 个 | **Claude Code 领先** |
|
||||
| 技能 | PASS: 184 项 | PASS: 37 项 | **Claude Code 领先** |
|
||||
| 技能 | PASS: 182 项 | PASS: 37 项 | **Claude Code 领先** |
|
||||
| 钩子 | PASS: 8 种事件类型 | PASS: 11 种事件 | **OpenCode 更多！** |
|
||||
| 规则 | PASS: 29 条 | PASS: 13 条指令 | **Claude Code 领先** |
|
||||
| MCP 服务器 | PASS: 14 个 | PASS: 完整 | **完全对等** |
|
||||
@ -1215,7 +1233,7 @@ ECC 是**第一个最大化利用每个主要 AI 编码工具的插件**。以
|
||||
|---------|------------|------------|-----------|----------|
|
||||
| **智能体** | 48 | 共享 (AGENTS.md) | 共享 (AGENTS.md) | 12 |
|
||||
| **命令** | 68 | 共享 | 基于指令 | 31 |
|
||||
| **技能** | 184 | 共享 | 10 (原生格式) | 37 |
|
||||
| **技能** | 182 | 共享 | 10 (原生格式) | 37 |
|
||||
| **钩子事件** | 8 种类型 | 15 种类型 | 暂无 | 11 种类型 |
|
||||
| **钩子脚本** | 20+ 个脚本 | 16 个脚本 (DRY 适配器) | N/A | 插件钩子 |
|
||||
| **规则** | 34 (通用 + 语言) | 34 (YAML 前页) | 基于指令 | 13 条指令 |
|
||||
|
||||
@ -61,7 +61,7 @@ claude plugin install typescript-lsp@claude-plugins-official
|
||||
**工作流：**
|
||||
|
||||
* `commit-commands` - Git 工作流
|
||||
* `frontend-design` - UI 模式
|
||||
* `frontend-patterns` - UI 模式
|
||||
* `feature-dev` - 功能开发
|
||||
|
||||
***
|
||||
|
||||
@ -1,337 +0,0 @@
|
||||
---
|
||||
name: claude-api
|
||||
description: Anthropic Claude API 的 Python 和 TypeScript 使用模式。涵盖 Messages API、流式处理、工具使用、视觉功能、扩展思维、批量处理、提示缓存和 Claude Agent SDK。适用于使用 Claude API 或 Anthropic SDK 构建应用程序的场景。
|
||||
origin: ECC
|
||||
---
|
||||
|
||||
# Claude API
|
||||
|
||||
使用 Anthropic Claude API 和 SDK 构建应用程序。
|
||||
|
||||
## 何时激活
|
||||
|
||||
* 构建调用 Claude API 的应用程序
|
||||
* 代码导入 `anthropic` (Python) 或 `@anthropic-ai/sdk` (TypeScript)
|
||||
* 用户询问 Claude API 模式、工具使用、流式传输或视觉功能
|
||||
* 使用 Claude Agent SDK 实现智能体工作流
|
||||
* 优化 API 成本、令牌使用或延迟
|
||||
|
||||
## 模型选择
|
||||
|
||||
| 模型 | ID | 最适合 |
|
||||
|-------|-----|----------|
|
||||
| Opus 4.1 | `claude-opus-4-1` | 复杂推理、架构设计、研究 |
|
||||
| Sonnet 4 | `claude-sonnet-4-0` | 平衡的编码任务，大多数开发工作 |
|
||||
| Haiku 3.5 | `claude-3-5-haiku-latest` | 快速响应、高吞吐量、成本敏感型 |
|
||||
|
||||
默认使用 Sonnet 4，除非任务需要深度推理（Opus）或速度/成本优化（Haiku）。对于生产环境，优先使用固定的快照 ID 而非别名。
|
||||
|
||||
## Python SDK
|
||||
|
||||
### 安装
|
||||
|
||||
```bash
|
||||
pip install anthropic
|
||||
```
|
||||
|
||||
### 基本消息
|
||||
|
||||
```python
|
||||
import anthropic
|
||||
|
||||
client = anthropic.Anthropic() # reads ANTHROPIC_API_KEY from env
|
||||
|
||||
message = client.messages.create(
|
||||
model="claude-sonnet-4-0",
|
||||
max_tokens=1024,
|
||||
messages=[
|
||||
{"role": "user", "content": "Explain async/await in Python"}
|
||||
]
|
||||
)
|
||||
print(message.content[0].text)
|
||||
```
|
||||
|
||||
### 流式传输
|
||||
|
||||
```python
|
||||
with client.messages.stream(
|
||||
model="claude-sonnet-4-0",
|
||||
max_tokens=1024,
|
||||
messages=[{"role": "user", "content": "Write a haiku about coding"}]
|
||||
) as stream:
|
||||
for text in stream.text_stream:
|
||||
print(text, end="", flush=True)
|
||||
```
|
||||
|
||||
### 系统提示词
|
||||
|
||||
```python
|
||||
message = client.messages.create(
|
||||
model="claude-sonnet-4-0",
|
||||
max_tokens=1024,
|
||||
system="You are a senior Python developer. Be concise.",
|
||||
messages=[{"role": "user", "content": "Review this function"}]
|
||||
)
|
||||
```
|
||||
|
||||
## TypeScript SDK
|
||||
|
||||
### 安装
|
||||
|
||||
```bash
|
||||
npm install @anthropic-ai/sdk
|
||||
```
|
||||
|
||||
### 基本消息
|
||||
|
||||
```typescript
|
||||
import Anthropic from "@anthropic-ai/sdk";
|
||||
|
||||
const client = new Anthropic(); // reads ANTHROPIC_API_KEY from env
|
||||
|
||||
const message = await client.messages.create({
|
||||
model: "claude-sonnet-4-0",
|
||||
max_tokens: 1024,
|
||||
messages: [
|
||||
{ role: "user", content: "Explain async/await in TypeScript" }
|
||||
],
|
||||
});
|
||||
console.log(message.content[0].text);
|
||||
```
|
||||
|
||||
### 流式传输
|
||||
|
||||
```typescript
|
||||
const stream = client.messages.stream({
|
||||
model: "claude-sonnet-4-0",
|
||||
max_tokens: 1024,
|
||||
messages: [{ role: "user", content: "Write a haiku" }],
|
||||
});
|
||||
|
||||
for await (const event of stream) {
|
||||
if (event.type === "content_block_delta" && event.delta.type === "text_delta") {
|
||||
process.stdout.write(event.delta.text);
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## 工具使用
|
||||
|
||||
定义工具并让 Claude 调用它们：
|
||||
|
||||
```python
|
||||
tools = [
|
||||
{
|
||||
"name": "get_weather",
|
||||
"description": "Get current weather for a location",
|
||||
"input_schema": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"location": {"type": "string", "description": "City name"},
|
||||
"unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}
|
||||
},
|
||||
"required": ["location"]
|
||||
}
|
||||
}
|
||||
]
|
||||
|
||||
message = client.messages.create(
|
||||
model="claude-sonnet-4-0",
|
||||
max_tokens=1024,
|
||||
tools=tools,
|
||||
messages=[{"role": "user", "content": "What's the weather in SF?"}]
|
||||
)
|
||||
|
||||
# Handle tool use response
|
||||
for block in message.content:
|
||||
if block.type == "tool_use":
|
||||
# Execute the tool with block.input
|
||||
result = get_weather(**block.input)
|
||||
# Send result back
|
||||
follow_up = client.messages.create(
|
||||
model="claude-sonnet-4-0",
|
||||
max_tokens=1024,
|
||||
tools=tools,
|
||||
messages=[
|
||||
{"role": "user", "content": "What's the weather in SF?"},
|
||||
{"role": "assistant", "content": message.content},
|
||||
{"role": "user", "content": [
|
||||
{"type": "tool_result", "tool_use_id": block.id, "content": str(result)}
|
||||
]}
|
||||
]
|
||||
)
|
||||
```
|
||||
|
||||
## 视觉功能
|
||||
|
||||
发送图像进行分析：
|
||||
|
||||
```python
|
||||
import base64
|
||||
|
||||
with open("diagram.png", "rb") as f:
|
||||
image_data = base64.standard_b64encode(f.read()).decode("utf-8")
|
||||
|
||||
message = client.messages.create(
|
||||
model="claude-sonnet-4-0",
|
||||
max_tokens=1024,
|
||||
messages=[{
|
||||
"role": "user",
|
||||
"content": [
|
||||
{"type": "image", "source": {"type": "base64", "media_type": "image/png", "data": image_data}},
|
||||
{"type": "text", "text": "Describe this diagram"}
|
||||
]
|
||||
}]
|
||||
)
|
||||
```
|
||||
|
||||
## 扩展思考
|
||||
|
||||
针对复杂推理任务：
|
||||
|
||||
```python
|
||||
message = client.messages.create(
|
||||
model="claude-sonnet-4-0",
|
||||
max_tokens=16000,
|
||||
thinking={
|
||||
"type": "enabled",
|
||||
"budget_tokens": 10000
|
||||
},
|
||||
messages=[{"role": "user", "content": "Solve this math problem step by step..."}]
|
||||
)
|
||||
|
||||
for block in message.content:
|
||||
if block.type == "thinking":
|
||||
print(f"Thinking: {block.thinking}")
|
||||
elif block.type == "text":
|
||||
print(f"Answer: {block.text}")
|
||||
```
|
||||
|
||||
## 提示词缓存
|
||||
|
||||
缓存大型系统提示词或上下文以降低成本：
|
||||
|
||||
```python
|
||||
message = client.messages.create(
|
||||
model="claude-sonnet-4-0",
|
||||
max_tokens=1024,
|
||||
system=[
|
||||
{"type": "text", "text": large_system_prompt, "cache_control": {"type": "ephemeral"}}
|
||||
],
|
||||
messages=[{"role": "user", "content": "Question about the cached context"}]
|
||||
)
|
||||
# Check cache usage
|
||||
print(f"Cache read: {message.usage.cache_read_input_tokens}")
|
||||
print(f"Cache creation: {message.usage.cache_creation_input_tokens}")
|
||||
```
|
||||
|
||||
## 批量 API
|
||||
|
||||
以 50% 的成本降低异步处理大量数据：
|
||||
|
||||
```python
|
||||
import time
|
||||
|
||||
batch = client.messages.batches.create(
|
||||
requests=[
|
||||
{
|
||||
"custom_id": f"request-{i}",
|
||||
"params": {
|
||||
"model": "claude-sonnet-4-0",
|
||||
"max_tokens": 1024,
|
||||
"messages": [{"role": "user", "content": prompt}]
|
||||
}
|
||||
}
|
||||
for i, prompt in enumerate(prompts)
|
||||
]
|
||||
)
|
||||
|
||||
# Poll for completion
|
||||
while True:
|
||||
status = client.messages.batches.retrieve(batch.id)
|
||||
if status.processing_status == "ended":
|
||||
break
|
||||
time.sleep(30)
|
||||
|
||||
# Get results
|
||||
for result in client.messages.batches.results(batch.id):
|
||||
print(result.result.message.content[0].text)
|
||||
```
|
||||
|
||||
## Claude Agent SDK
|
||||
|
||||
构建多步骤智能体：
|
||||
|
||||
```python
|
||||
# Note: Agent SDK API surface may change — check official docs
|
||||
import anthropic
|
||||
|
||||
# Define tools as functions
|
||||
tools = [{
|
||||
"name": "search_codebase",
|
||||
"description": "Search the codebase for relevant code",
|
||||
"input_schema": {
|
||||
"type": "object",
|
||||
"properties": {"query": {"type": "string"}},
|
||||
"required": ["query"]
|
||||
}
|
||||
}]
|
||||
|
||||
# Run an agentic loop with tool use
|
||||
client = anthropic.Anthropic()
|
||||
messages = [{"role": "user", "content": "Review the auth module for security issues"}]
|
||||
|
||||
while True:
|
||||
response = client.messages.create(
|
||||
model="claude-sonnet-4-0",
|
||||
max_tokens=4096,
|
||||
tools=tools,
|
||||
messages=messages,
|
||||
)
|
||||
if response.stop_reason == "end_turn":
|
||||
break
|
||||
# Handle tool calls and continue the loop
|
||||
messages.append({"role": "assistant", "content": response.content})
|
||||
# ... execute tools and append tool_result messages
|
||||
```
|
||||
|
||||
## 成本优化
|
||||
|
||||
| 策略 | 节省幅度 | 使用时机 |
|
||||
|----------|---------|-------------|
|
||||
| 提示词缓存 | 缓存令牌成本降低高达 90% | 重复的系统提示词或上下文 |
|
||||
| 批量 API | 50% | 非时间敏感的批量处理 |
|
||||
| 使用 Haiku 而非 Sonnet | ~75% | 简单任务、分类、提取 |
|
||||
| 缩短 max\_tokens | 可变 | 已知输出较短时 |
|
||||
| 流式传输 | 无（成本相同） | 更好的用户体验，价格相同 |
|
||||
|
||||
## 错误处理
|
||||
|
||||
```python
|
||||
import time
|
||||
|
||||
from anthropic import APIError, RateLimitError, APIConnectionError
|
||||
|
||||
try:
|
||||
message = client.messages.create(...)
|
||||
except RateLimitError:
|
||||
# Back off and retry
|
||||
time.sleep(60)
|
||||
except APIConnectionError:
|
||||
# Network issue, retry with backoff
|
||||
pass
|
||||
except APIError as e:
|
||||
print(f"API error {e.status_code}: {e.message}")
|
||||
```
|
||||
|
||||
## 环境设置
|
||||
|
||||
```bash
|
||||
# Required
|
||||
export ANTHROPIC_API_KEY="your-api-key-here"
|
||||
|
||||
# Optional: set default model
|
||||
export ANTHROPIC_MODEL="claude-sonnet-4-0"
|
||||
```
|
||||
|
||||
切勿硬编码 API 密钥。始终使用环境变量。
|
||||
@ -162,13 +162,14 @@ mkdir -p $TARGET/skills $TARGET/rules
|
||||
| `investor-materials` | 宣传文稿、一页简介、投资者备忘录和财务模型 |
|
||||
| `investor-outreach` | 个性化的投资者冷邮件、熟人介绍和后续跟进 |
|
||||
|
||||
**类别：研究与API（3项技能）**
|
||||
**类别：研究与API（2项技能）**
|
||||
|
||||
| 技能 | 描述 |
|
||||
|-------|-------------|
|
||||
| `deep-research` | 使用 firecrawl 和 exa MCP 进行多源深度研究，并生成带引用的报告 |
|
||||
| `exa-search` | 通过 Exa MCP 进行网络、代码、公司和人员的神经搜索 |
|
||||
| `claude-api` | Anthropic Claude API 模式：消息、流式处理、工具使用、视觉、批处理、Agent SDK |
|
||||
|
||||
`claude-api` 是 Anthropic 官方技能；需要时请从 [`anthropics/skills`](https://github.com/anthropics/skills) 安装官方版本，而不是通过 ECC 重复打包。
|
||||
|
||||
**类别：社交与内容分发（2项技能）**
|
||||
|
||||
|
||||
@ -292,7 +292,7 @@ mgrep --web "Next.js 15 app router changes" # Web search
|
||||
|
||||
```markdown
|
||||
ralph-wiggum@claude-code-plugins # 循环自动化
|
||||
frontend-design@claude-code-plugins # UI/UX 模式
|
||||
frontend-patterns@claude-code-plugins # UI/UX 模式
|
||||
commit-commands@claude-code-plugins # Git 工作流
|
||||
security-guidance@claude-code-plugins # 安全检查
|
||||
pr-review-toolkit@claude-code-plugins # PR 自动化
|
||||
|
||||
@ -125,7 +125,6 @@
|
||||
"skills/django-tdd",
|
||||
"skills/django-verification",
|
||||
"skills/dotnet-patterns",
|
||||
"skills/frontend-design",
|
||||
"skills/frontend-patterns",
|
||||
"skills/frontend-slides",
|
||||
"skills/golang-patterns",
|
||||
@ -273,7 +272,6 @@
|
||||
"kind": "skills",
|
||||
"description": "Research and API integration skills for deep investigations and model integrations.",
|
||||
"paths": [
|
||||
"skills/claude-api",
|
||||
"skills/deep-research",
|
||||
"skills/exa-search",
|
||||
"skills/research-ops"
|
||||
|
||||
@ -101,7 +101,6 @@
|
||||
"skills/blueprint/",
|
||||
"skills/brand-voice/",
|
||||
"skills/carrier-relationship-management/",
|
||||
"skills/claude-api/",
|
||||
"skills/claude-devfleet/",
|
||||
"skills/clickhouse-io/",
|
||||
"skills/code-tour/",
|
||||
@ -147,7 +146,6 @@
|
||||
"skills/fal-ai-media/",
|
||||
"skills/finance-billing-ops/",
|
||||
"skills/foundation-models-on-device/",
|
||||
"skills/frontend-design/",
|
||||
"skills/frontend-patterns/",
|
||||
"skills/frontend-slides/",
|
||||
"skills/github-ops/",
|
||||
|
||||
@ -57,7 +57,7 @@ claude plugin install typescript-lsp@claude-plugins-official
|
||||
|
||||
**Workflow:**
|
||||
- `commit-commands` - Git workflow
|
||||
- `frontend-design` - UI patterns
|
||||
- `frontend-patterns` - UI patterns
|
||||
- `feature-dev` - Feature development
|
||||
|
||||
---
|
||||
|
||||
@ -141,6 +141,6 @@ Switch(
|
||||
## Related Skills
|
||||
|
||||
- `frontend-patterns`
|
||||
- `frontend-design`
|
||||
- `design-system`
|
||||
- `liquid-glass-design`
|
||||
- `swiftui-patterns`
|
||||
|
||||
@ -1,337 +0,0 @@
|
||||
---
|
||||
name: claude-api
|
||||
description: Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.
|
||||
origin: ECC
|
||||
---
|
||||
|
||||
# Claude API
|
||||
|
||||
Build applications with the Anthropic Claude API and SDKs.
|
||||
|
||||
## When to Activate
|
||||
|
||||
- Building applications that call the Claude API
|
||||
- Code imports `anthropic` (Python) or `@anthropic-ai/sdk` (TypeScript)
|
||||
- User asks about Claude API patterns, tool use, streaming, or vision
|
||||
- Implementing agent workflows with Claude Agent SDK
|
||||
- Optimizing API costs, token usage, or latency
|
||||
|
||||
## Model Selection
|
||||
|
||||
| Model | ID | Best For |
|
||||
|-------|-----|----------|
|
||||
| Opus 4.1 | `claude-opus-4-1` | Complex reasoning, architecture, research |
|
||||
| Sonnet 4 | `claude-sonnet-4-0` | Balanced coding, most development tasks |
|
||||
| Haiku 3.5 | `claude-3-5-haiku-latest` | Fast responses, high-volume, cost-sensitive |
|
||||
|
||||
Default to Sonnet 4 unless the task requires deep reasoning (Opus) or speed/cost optimization (Haiku). For production, prefer pinned snapshot IDs over aliases.
|
||||
|
||||
## Python SDK
|
||||
|
||||
### Installation
|
||||
|
||||
```bash
|
||||
pip install anthropic
|
||||
```
|
||||
|
||||
### Basic Message
|
||||
|
||||
```python
|
||||
import anthropic
|
||||
|
||||
client = anthropic.Anthropic() # reads ANTHROPIC_API_KEY from env
|
||||
|
||||
message = client.messages.create(
|
||||
model="claude-sonnet-4-0",
|
||||
max_tokens=1024,
|
||||
messages=[
|
||||
{"role": "user", "content": "Explain async/await in Python"}
|
||||
]
|
||||
)
|
||||
print(message.content[0].text)
|
||||
```
|
||||
|
||||
### Streaming
|
||||
|
||||
```python
|
||||
with client.messages.stream(
|
||||
model="claude-sonnet-4-0",
|
||||
max_tokens=1024,
|
||||
messages=[{"role": "user", "content": "Write a haiku about coding"}]
|
||||
) as stream:
|
||||
for text in stream.text_stream:
|
||||
print(text, end="", flush=True)
|
||||
```
|
||||
|
||||
### System Prompt
|
||||
|
||||
```python
|
||||
message = client.messages.create(
|
||||
model="claude-sonnet-4-0",
|
||||
max_tokens=1024,
|
||||
system="You are a senior Python developer. Be concise.",
|
||||
messages=[{"role": "user", "content": "Review this function"}]
|
||||
)
|
||||
```
|
||||
|
||||
## TypeScript SDK
|
||||
|
||||
### Installation
|
||||
|
||||
```bash
|
||||
npm install @anthropic-ai/sdk
|
||||
```
|
||||
|
||||
### Basic Message
|
||||
|
||||
```typescript
|
||||
import Anthropic from "@anthropic-ai/sdk";
|
||||
|
||||
const client = new Anthropic(); // reads ANTHROPIC_API_KEY from env
|
||||
|
||||
const message = await client.messages.create({
|
||||
model: "claude-sonnet-4-0",
|
||||
max_tokens: 1024,
|
||||
messages: [
|
||||
{ role: "user", content: "Explain async/await in TypeScript" }
|
||||
],
|
||||
});
|
||||
console.log(message.content[0].text);
|
||||
```
|
||||
|
||||
### Streaming
|
||||
|
||||
```typescript
|
||||
const stream = client.messages.stream({
|
||||
model: "claude-sonnet-4-0",
|
||||
max_tokens: 1024,
|
||||
messages: [{ role: "user", content: "Write a haiku" }],
|
||||
});
|
||||
|
||||
for await (const event of stream) {
|
||||
if (event.type === "content_block_delta" && event.delta.type === "text_delta") {
|
||||
process.stdout.write(event.delta.text);
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## Tool Use
|
||||
|
||||
Define tools and let Claude call them:
|
||||
|
||||
```python
|
||||
tools = [
|
||||
{
|
||||
"name": "get_weather",
|
||||
"description": "Get current weather for a location",
|
||||
"input_schema": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"location": {"type": "string", "description": "City name"},
|
||||
"unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}
|
||||
},
|
||||
"required": ["location"]
|
||||
}
|
||||
}
|
||||
]
|
||||
|
||||
message = client.messages.create(
|
||||
model="claude-sonnet-4-0",
|
||||
max_tokens=1024,
|
||||
tools=tools,
|
||||
messages=[{"role": "user", "content": "What's the weather in SF?"}]
|
||||
)
|
||||
|
||||
# Handle tool use response
|
||||
for block in message.content:
|
||||
if block.type == "tool_use":
|
||||
# Execute the tool with block.input
|
||||
result = get_weather(**block.input)
|
||||
# Send result back
|
||||
follow_up = client.messages.create(
|
||||
model="claude-sonnet-4-0",
|
||||
max_tokens=1024,
|
||||
tools=tools,
|
||||
messages=[
|
||||
{"role": "user", "content": "What's the weather in SF?"},
|
||||
{"role": "assistant", "content": message.content},
|
||||
{"role": "user", "content": [
|
||||
{"type": "tool_result", "tool_use_id": block.id, "content": str(result)}
|
||||
]}
|
||||
]
|
||||
)
|
||||
```
|
||||
|
||||
## Vision
|
||||
|
||||
Send images for analysis:
|
||||
|
||||
```python
|
||||
import base64
|
||||
|
||||
with open("diagram.png", "rb") as f:
|
||||
image_data = base64.standard_b64encode(f.read()).decode("utf-8")
|
||||
|
||||
message = client.messages.create(
|
||||
model="claude-sonnet-4-0",
|
||||
max_tokens=1024,
|
||||
messages=[{
|
||||
"role": "user",
|
||||
"content": [
|
||||
{"type": "image", "source": {"type": "base64", "media_type": "image/png", "data": image_data}},
|
||||
{"type": "text", "text": "Describe this diagram"}
|
||||
]
|
||||
}]
|
||||
)
|
||||
```
|
||||
|
||||
## Extended Thinking
|
||||
|
||||
For complex reasoning tasks:
|
||||
|
||||
```python
|
||||
message = client.messages.create(
|
||||
model="claude-sonnet-4-0",
|
||||
max_tokens=16000,
|
||||
thinking={
|
||||
"type": "enabled",
|
||||
"budget_tokens": 10000
|
||||
},
|
||||
messages=[{"role": "user", "content": "Solve this math problem step by step..."}]
|
||||
)
|
||||
|
||||
for block in message.content:
|
||||
if block.type == "thinking":
|
||||
print(f"Thinking: {block.thinking}")
|
||||
elif block.type == "text":
|
||||
print(f"Answer: {block.text}")
|
||||
```
|
||||
|
||||
## Prompt Caching
|
||||
|
||||
Cache large system prompts or context to reduce costs:
|
||||
|
||||
```python
|
||||
message = client.messages.create(
|
||||
model="claude-sonnet-4-0",
|
||||
max_tokens=1024,
|
||||
system=[
|
||||
{"type": "text", "text": large_system_prompt, "cache_control": {"type": "ephemeral"}}
|
||||
],
|
||||
messages=[{"role": "user", "content": "Question about the cached context"}]
|
||||
)
|
||||
# Check cache usage
|
||||
print(f"Cache read: {message.usage.cache_read_input_tokens}")
|
||||
print(f"Cache creation: {message.usage.cache_creation_input_tokens}")
|
||||
```
|
||||
|
||||
## Batches API
|
||||
|
||||
Process large volumes asynchronously at 50% cost reduction:
|
||||
|
||||
```python
|
||||
import time
|
||||
|
||||
batch = client.messages.batches.create(
|
||||
requests=[
|
||||
{
|
||||
"custom_id": f"request-{i}",
|
||||
"params": {
|
||||
"model": "claude-sonnet-4-0",
|
||||
"max_tokens": 1024,
|
||||
"messages": [{"role": "user", "content": prompt}]
|
||||
}
|
||||
}
|
||||
for i, prompt in enumerate(prompts)
|
||||
]
|
||||
)
|
||||
|
||||
# Poll for completion
|
||||
while True:
|
||||
status = client.messages.batches.retrieve(batch.id)
|
||||
if status.processing_status == "ended":
|
||||
break
|
||||
time.sleep(30)
|
||||
|
||||
# Get results
|
||||
for result in client.messages.batches.results(batch.id):
|
||||
print(result.result.message.content[0].text)
|
||||
```
|
||||
|
||||
## Claude Agent SDK
|
||||
|
||||
Build multi-step agents:
|
||||
|
||||
```python
|
||||
# Note: Agent SDK API surface may change — check official docs
|
||||
import anthropic
|
||||
|
||||
# Define tools as functions
|
||||
tools = [{
|
||||
"name": "search_codebase",
|
||||
"description": "Search the codebase for relevant code",
|
||||
"input_schema": {
|
||||
"type": "object",
|
||||
"properties": {"query": {"type": "string"}},
|
||||
"required": ["query"]
|
||||
}
|
||||
}]
|
||||
|
||||
# Run an agentic loop with tool use
|
||||
client = anthropic.Anthropic()
|
||||
messages = [{"role": "user", "content": "Review the auth module for security issues"}]
|
||||
|
||||
while True:
|
||||
response = client.messages.create(
|
||||
model="claude-sonnet-4-0",
|
||||
max_tokens=4096,
|
||||
tools=tools,
|
||||
messages=messages,
|
||||
)
|
||||
if response.stop_reason == "end_turn":
|
||||
break
|
||||
# Handle tool calls and continue the loop
|
||||
messages.append({"role": "assistant", "content": response.content})
|
||||
# ... execute tools and append tool_result messages
|
||||
```
|
||||
|
||||
## Cost Optimization
|
||||
|
||||
| Strategy | Savings | When to Use |
|
||||
|----------|---------|-------------|
|
||||
| Prompt caching | Up to 90% on cached tokens | Repeated system prompts or context |
|
||||
| Batches API | 50% | Non-time-sensitive bulk processing |
|
||||
| Haiku instead of Sonnet | ~75% | Simple tasks, classification, extraction |
|
||||
| Shorter max_tokens | Variable | When you know output will be short |
|
||||
| Streaming | None (same cost) | Better UX, same price |
|
||||
|
||||
## Error Handling
|
||||
|
||||
```python
|
||||
import time
|
||||
|
||||
from anthropic import APIError, RateLimitError, APIConnectionError
|
||||
|
||||
try:
|
||||
message = client.messages.create(...)
|
||||
except RateLimitError:
|
||||
# Back off and retry
|
||||
time.sleep(60)
|
||||
except APIConnectionError:
|
||||
# Network issue, retry with backoff
|
||||
pass
|
||||
except APIError as e:
|
||||
print(f"API error {e.status_code}: {e.message}")
|
||||
```
|
||||
|
||||
## Environment Setup
|
||||
|
||||
```bash
|
||||
# Required
|
||||
export ANTHROPIC_API_KEY="your-api-key-here"
|
||||
|
||||
# Optional: set default model
|
||||
export ANTHROPIC_MODEL="claude-sonnet-4-0"
|
||||
```
|
||||
|
||||
Never hardcode API keys. Always use environment variables.
|
||||
@ -158,13 +158,14 @@ For each selected category, print the full list of skills below and ask the user
|
||||
| `investor-materials` | Pitch decks, one-pagers, investor memos, and financial models |
|
||||
| `investor-outreach` | Personalized investor cold emails, warm intros, and follow-ups |
|
||||
|
||||
**Category: Research & APIs (3 skills)**
|
||||
**Category: Research & APIs (2 skills)**
|
||||
|
||||
| Skill | Description |
|
||||
|-------|-------------|
|
||||
| `deep-research` | Multi-source deep research using firecrawl and exa MCPs with cited reports |
|
||||
| `exa-search` | Neural search via Exa MCP for web, code, company, and people research |
|
||||
| `claude-api` | Anthropic Claude API patterns: Messages, streaming, tool use, vision, batches, Agent SDK |
|
||||
|
||||
`claude-api` is an Anthropic canonical skill. Install it from [`anthropics/skills`](https://github.com/anthropics/skills) when you want the official Claude API workflow instead of an ECC-bundled copy.
|
||||
|
||||
**Category: Social & Content Distribution (2 skills)**
|
||||
|
||||
|
||||
@ -1,145 +0,0 @@
|
||||
---
|
||||
name: frontend-design
|
||||
description: Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.
|
||||
origin: ECC
|
||||
---
|
||||
|
||||
# Frontend Design
|
||||
|
||||
Use this when the task is not just "make it work" but "make it look designed."
|
||||
|
||||
This skill is for product pages, dashboards, app shells, components, or visual systems that need a clear point of view instead of generic AI-looking UI.
|
||||
|
||||
## When To Use
|
||||
|
||||
- building a landing page, dashboard, or app surface from scratch
|
||||
- upgrading a bland interface into something intentional and memorable
|
||||
- translating a product concept into a concrete visual direction
|
||||
- implementing a frontend where typography, composition, and motion matter
|
||||
|
||||
## Core Principle
|
||||
|
||||
Pick a direction and commit to it.
|
||||
|
||||
Safe-average UI is usually worse than a strong, coherent aesthetic with a few bold choices.
|
||||
|
||||
## Design Workflow
|
||||
|
||||
### 1. Frame the interface first
|
||||
|
||||
Before coding, settle:
|
||||
|
||||
- purpose
|
||||
- audience
|
||||
- emotional tone
|
||||
- visual direction
|
||||
- one thing the user should remember
|
||||
|
||||
Possible directions:
|
||||
|
||||
- brutally minimal
|
||||
- editorial
|
||||
- industrial
|
||||
- luxury
|
||||
- playful
|
||||
- geometric
|
||||
- retro-futurist
|
||||
- soft and organic
|
||||
- maximalist
|
||||
|
||||
Do not mix directions casually. Choose one and execute it cleanly.
|
||||
|
||||
### 2. Build the visual system
|
||||
|
||||
Define:
|
||||
|
||||
- type hierarchy
|
||||
- color variables
|
||||
- spacing rhythm
|
||||
- layout logic
|
||||
- motion rules
|
||||
- surface / border / shadow treatment
|
||||
|
||||
Use CSS variables or the project's token system so the interface stays coherent as it grows.
|
||||
|
||||
### 3. Compose with intention
|
||||
|
||||
Prefer:
|
||||
|
||||
- asymmetry when it sharpens hierarchy
|
||||
- overlap when it creates depth
|
||||
- strong whitespace when it clarifies focus
|
||||
- dense layouts only when the product benefits from density
|
||||
|
||||
Avoid defaulting to a symmetrical card grid unless it is clearly the right fit.
|
||||
|
||||
### 4. Make motion meaningful
|
||||
|
||||
Use animation to:
|
||||
|
||||
- reveal hierarchy
|
||||
- stage information
|
||||
- reinforce user action
|
||||
- create one or two memorable moments
|
||||
|
||||
Do not scatter generic micro-interactions everywhere. One well-directed load sequence is usually stronger than twenty random hover effects.
|
||||
|
||||
## Strong Defaults
|
||||
|
||||
### Typography
|
||||
|
||||
- pick fonts with character
|
||||
- pair a distinctive display face with a readable body face when appropriate
|
||||
- avoid generic defaults when the page is design-led
|
||||
|
||||
### Color
|
||||
|
||||
- commit to a clear palette
|
||||
- one dominant field with selective accents usually works better than evenly weighted rainbow palettes
|
||||
- avoid cliché purple-gradient-on-white unless the product genuinely calls for it
|
||||
|
||||
### Background
|
||||
|
||||
Use atmosphere:
|
||||
|
||||
- gradients
|
||||
- meshes
|
||||
- textures
|
||||
- subtle noise
|
||||
- patterns
|
||||
- layered transparency
|
||||
|
||||
Flat empty backgrounds are rarely the best answer for a product-facing page.
|
||||
|
||||
### Layout
|
||||
|
||||
- break the grid when the composition benefits from it
|
||||
- use diagonals, offsets, and grouping intentionally
|
||||
- keep reading flow obvious even when the layout is unconventional
|
||||
|
||||
## Anti-Patterns
|
||||
|
||||
Never default to:
|
||||
|
||||
- interchangeable SaaS hero sections
|
||||
- generic card piles with no hierarchy
|
||||
- random accent colors without a system
|
||||
- placeholder-feeling typography
|
||||
- motion that exists only because animation was easy to add
|
||||
|
||||
## Execution Rules
|
||||
|
||||
- preserve the established design system when working inside an existing product
|
||||
- match technical complexity to the visual idea
|
||||
- keep accessibility and responsiveness intact
|
||||
- frontends should feel deliberate on desktop and mobile
|
||||
|
||||
## Quality Gate
|
||||
|
||||
Before delivering:
|
||||
|
||||
- the interface has a clear visual point of view
|
||||
- typography and spacing feel intentional
|
||||
- color and motion support the product instead of decorating it randomly
|
||||
- the result does not read like generic AI UI
|
||||
- the implementation is production-grade, not just visually interesting
|
||||
@ -10,6 +10,8 @@ const path = require('path');
|
||||
const REPO_ROOT = path.join(__dirname, '..', '..');
|
||||
const AGENT_YAML_PATH = path.join(REPO_ROOT, 'agent.yaml');
|
||||
const COMMANDS_DIR = path.join(REPO_ROOT, 'commands');
|
||||
const SKILLS_DIR = path.join(REPO_ROOT, 'skills');
|
||||
const CODEX_SKILLS_DIR = path.join(REPO_ROOT, '.agents', 'skills');
|
||||
const LEGACY_COMMANDS_DIR = path.join(REPO_ROOT, 'legacy-command-shims', 'commands');
|
||||
|
||||
const RETIRED_LEGACY_SHIMS = [
|
||||
@ -27,6 +29,11 @@ const RETIRED_LEGACY_SHIMS = [
|
||||
'verify',
|
||||
];
|
||||
|
||||
const CANONICAL_ANTHROPIC_SKILLS = [
|
||||
'claude-api',
|
||||
'frontend-design',
|
||||
];
|
||||
|
||||
function extractTopLevelList(yamlSource, key) {
|
||||
const lines = yamlSource.replace(/^\uFEFF/, '').split(/\r?\n/);
|
||||
const results = [];
|
||||
@ -102,6 +109,19 @@ function run() {
|
||||
assert.deepStrictEqual(archivedCommands, RETIRED_LEGACY_SHIMS);
|
||||
})) passed++; else failed++;
|
||||
|
||||
if (test('canonical Anthropic skills are not re-bundled in active ECC skill surfaces', () => {
|
||||
for (const skillName of CANONICAL_ANTHROPIC_SKILLS) {
|
||||
assert.ok(
|
||||
!fs.existsSync(path.join(SKILLS_DIR, skillName, 'SKILL.md')),
|
||||
`${skillName} should be installed from anthropics/skills, not ECC skills/`
|
||||
);
|
||||
assert.ok(
|
||||
!fs.existsSync(path.join(CODEX_SKILLS_DIR, skillName, 'SKILL.md')),
|
||||
`${skillName} should be installed from anthropics/skills, not ECC .agents/skills/`
|
||||
);
|
||||
}
|
||||
})) passed++; else failed++;
|
||||
|
||||
console.log(`\nPassed: ${passed}`);
|
||||
console.log(`Failed: ${failed}`);
|
||||
|
||||
|
||||
@ -292,7 +292,7 @@ This is also a viable choice and works well with Claude Code. You can use it in
|
||||
|
||||
```markdown
|
||||
ralph-wiggum@claude-code-plugins # Loop automation
|
||||
frontend-design@claude-code-plugins # UI/UX patterns
|
||||
frontend-patterns@claude-code-plugins # UI/UX patterns
|
||||
commit-commands@claude-code-plugins # Git workflow
|
||||
security-guidance@claude-code-plugins # Security checks
|
||||
pr-review-toolkit@claude-code-plugins # PR automation
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user