docs: salvage agent and motion workflow skills

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Affaan Mustafa 2026-05-11 22:06:06 -04:00 committed by Affaan Mustafa
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{
"name": "ecc",
"source": "./",
"description": "The most comprehensive Claude Code plugin — 56 agents, 213 skills, 72 legacy command shims, selective install profiles, and production-ready hooks for TDD, security scanning, code review, and continuous learning",
"description": "The most comprehensive Claude Code plugin — 56 agents, 217 skills, 72 legacy command shims, selective install profiles, and production-ready hooks for TDD, security scanning, code review, and continuous learning",
"version": "2.0.0-rc.1",
"author": {
"name": "Affaan Mustafa",

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{
"name": "ecc",
"version": "2.0.0-rc.1",
"description": "Battle-tested Claude Code plugin for engineering teams — 56 agents, 213 skills, 72 legacy command shims, production-ready hooks, and selective install workflows evolved through continuous real-world use",
"description": "Battle-tested Claude Code plugin for engineering teams — 56 agents, 217 skills, 72 legacy command shims, production-ready hooks, and selective install workflows evolved through continuous real-world use",
"author": {
"name": "Affaan Mustafa",
"url": "https://x.com/affaanmustafa"

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@ -1,6 +1,6 @@
# Everything Claude Code (ECC) — Agent Instructions
This is a **production-ready AI coding plugin** providing 56 specialized agents, 213 skills, 72 commands, and automated hook workflows for software development.
This is a **production-ready AI coding plugin** providing 56 specialized agents, 217 skills, 72 commands, and automated hook workflows for software development.
**Version:** 2.0.0-rc.1
@ -148,7 +148,7 @@ Troubleshoot failures: check test isolation → verify mocks → fix implementat
```
agents/ — 56 specialized subagents
skills/ — 213 workflow skills and domain knowledge
skills/ — 217 workflow skills and domain knowledge
commands/ — 72 slash commands
hooks/ — Trigger-based automations
rules/ — Always-follow guidelines (common + per-language)

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@ -358,7 +358,7 @@ If you stacked methods, clean up in this order:
/plugin list ecc@ecc
```
**That's it!** You now have access to 56 agents, 213 skills, and 72 legacy command shims.
**That's it!** You now have access to 56 agents, 217 skills, and 72 legacy command shims.
### Dashboard GUI
@ -1362,7 +1362,7 @@ The configuration is automatically detected from `.opencode/opencode.json`.
|---------|-------------|----------|--------|
| Agents | PASS: 56 agents | PASS: 12 agents | **Claude Code leads** |
| Commands | PASS: 72 commands | PASS: 35 commands | **Claude Code leads** |
| Skills | PASS: 213 skills | PASS: 37 skills | **Claude Code leads** |
| Skills | PASS: 217 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** |
@ -1467,7 +1467,7 @@ ECC is the **first plugin to maximize every major AI coding tool**. Here's how e
|---------|------------|------------|-----------|----------|
| **Agents** | 56 | Shared (AGENTS.md) | Shared (AGENTS.md) | 12 |
| **Commands** | 72 | Shared | Instruction-based | 35 |
| **Skills** | 213 | Shared | 10 (native format) | 37 |
| **Skills** | 217 | 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 |

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@ -160,7 +160,7 @@ Copy-Item -Recurse rules/typescript "$HOME/.claude/rules/"
/plugin list ecc@ecc
```
**完成!** 你现在可以使用 56 个代理、213 个技能和 72 个命令。
**完成!** 你现在可以使用 56 个代理、217 个技能和 72 个命令。
### multi-* 命令需要额外配置

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@ -9,10 +9,12 @@ model:
fallback:
- claude-sonnet-4-6
skills:
- agent-architecture-audit
- agent-eval
- agent-harness-construction
- agent-payment-x402
- agentic-engineering
- agentic-os
- ai-first-engineering
- ai-regression-testing
- android-clean-architecture
@ -61,6 +63,7 @@ skills:
- e2e-testing
- energy-procurement
- enterprise-agent-ops
- error-handling
- eval-harness
- exa-search
- fal-ai-media
@ -96,6 +99,7 @@ skills:
- logistics-exception-management
- market-research
- mcp-server-patterns
- motion-ui
- nanoclaw-repl
- nextjs-turbopack
- nutrient-document-processing

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# 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 56 个专业代理、213 项技能、72 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 56 个专业代理、217 项技能、72 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/ — 56 个专业子代理
skills/ — 213 个工作流技能和领域知识
skills/ — 217 个工作流技能和领域知识
commands/ — 72 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)

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@ -224,7 +224,7 @@ Copy-Item -Recurse rules/typescript "$HOME/.claude/rules/"
/plugin list ecc@ecc
```
**搞定!** 你现在可以使用 56 个智能体、213 项技能和 72 个命令了。
**搞定!** 你现在可以使用 56 个智能体、217 项技能和 72 个命令了。
***
@ -1134,7 +1134,7 @@ opencode
|---------|-------------|----------|--------|
| 智能体 | PASS: 56 个 | PASS: 12 个 | **Claude Code 领先** |
| 命令 | PASS: 72 个 | PASS: 35 个 | **Claude Code 领先** |
| 技能 | PASS: 213 项 | PASS: 37 项 | **Claude Code 领先** |
| 技能 | PASS: 217 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** |
@ -1242,7 +1242,7 @@ 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** | 56 | 共享 (AGENTS.md) | 共享 (AGENTS.md) | 12 |
| **命令** | 72 | 共享 | 基于指令 | 35 |
| **技能** | 213 | 共享 | 10 (原生格式) | 37 |
| **技能** | 217 | 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 |

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@ -139,6 +139,7 @@
"skills/fastapi-patterns",
"skills/frontend-patterns",
"skills/frontend-slides",
"skills/motion-ui",
"skills/golang-patterns",
"skills/golang-testing",
"skills/java-coding-standards",
@ -229,6 +230,7 @@
"skills/continuous-learning-v2",
"skills/council",
"skills/e2e-testing",
"skills/error-handling",
"skills/eval-harness",
"skills/hookify-rules",
"skills/iterative-retrieval",
@ -513,8 +515,10 @@
"kind": "skills",
"description": "Agentic engineering, autonomous loops, agent harness construction, and LLM pipeline optimization skills.",
"paths": [
"skills/agent-architecture-audit",
"skills/agent-harness-construction",
"skills/agentic-engineering",
"skills/agentic-os",
"skills/ai-first-engineering",
"skills/autonomous-loops",
"skills/blueprint",

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@ -90,10 +90,12 @@
"scripts/status.js",
"scripts/work-items.js",
"scripts/uninstall.js",
"skills/agent-architecture-audit/",
"skills/agent-harness-construction/",
"skills/agent-introspection-debugging/",
"skills/agent-sort/",
"skills/agentic-engineering/",
"skills/agentic-os/",
"skills/ai-first-engineering/",
"skills/ai-regression-testing/",
"skills/android-clean-architecture/",
@ -147,6 +149,7 @@
"skills/email-ops/",
"skills/energy-procurement/",
"skills/enterprise-agent-ops/",
"skills/error-handling/",
"skills/eval-harness/",
"skills/evm-token-decimals/",
"skills/exa-search/",
@ -193,6 +196,7 @@
"skills/mcp-server-patterns/",
"skills/messages-ops/",
"skills/mle-workflow/",
"skills/motion-ui/",
"skills/mysql-patterns/",
"skills/nanoclaw-repl/",
"skills/nestjs-patterns/",

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---
name: agent-architecture-audit
description: Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature.
origin: oh-my-agent-check
tools: Read, Write, Edit, Bash, Grep, Glob
---
# Agent Architecture Audit
A diagnostic workflow for agent systems that hide failures behind wrapper layers, stale memory, retry loops, or transport/rendering mutations.
## When to Activate
**MANDATORY for:**
- Releasing any agent or LLM-powered application to production
- Shipping features with tool calling, memory, or multi-step workflows
- Agent behavior degrades after adding wrapper layers
- User reports "the agent is getting worse" or "tools are flaky"
- Same model works in playground but breaks inside your wrapper
- Debugging agent behavior for more than 15 minutes without finding root cause
**Especially critical when:**
- You've added new prompt layers, tool definitions, or memory systems
- Different agents in your system behave inconsistently
- The model was fine yesterday but is hallucinating today
- You suspect hidden repair/retry loops silently mutating responses
**Do not use for:**
- General code debugging — use `agent-introspection-debugging`
- Code review — use language-specific reviewer agents
- Security scanning — use `security-review` or `security-review/scan`
- Agent performance benchmarking — use `agent-eval`
- Writing new features — use the appropriate workflow skill
## The 12-Layer Stack
Every agent system has these layers. Any of them can corrupt the answer:
| # | Layer | What Goes Wrong |
|---|-------|----------------|
| 1 | System prompt | Conflicting instructions, instruction bloat |
| 2 | Session history | Stale context injection from previous turns |
| 3 | Long-term memory | Pollution across sessions, old topics in new conversations |
| 4 | Distillation | Compressed artifacts re-entering as pseudo-facts |
| 5 | Active recall | Redundant re-summary layers wasting context |
| 6 | Tool selection | Wrong tool routing, model skips required tools |
| 7 | Tool execution | Hallucinated execution — claims to call but doesn't |
| 8 | Tool interpretation | Misread or ignored tool output |
| 9 | Answer shaping | Format corruption in final response |
| 10 | Platform rendering | Transport-layer mutation (UI, API, CLI mutates valid answers) |
| 11 | Hidden repair loops | Silent fallback/retry agents running second LLM pass |
| 12 | Persistence | Expired state or cached artifacts reused as live evidence |
## Common Failure Patterns
### 1. Wrapper Regression
The base model produces correct answers, but the wrapper layers make it worse.
**Symptoms:**
- Model works fine in playground or direct API call, breaks in your agent
- Added a new prompt layer, existing behavior degraded
- Agent sounds confident but is confidently wrong
- "It was working before the last update"
### 2. Memory Contamination
Old topics leak into new conversations through history, memory retrieval, or distillation.
**Symptoms:**
- Agent brings up unrelated past topics
- User corrections don't stick (old memory overwrites new)
- Same-session artifacts re-enter as pseudo-facts
- Memory grows without bound, degrading response quality over time
### 3. Tool Discipline Failure
Tools are declared in the prompt but not enforced in code. The model skips them or hallucinates execution.
**Symptoms:**
- "Must use tool X" in prompt, but model answers without calling it
- Tool results look correct but were never actually executed
- Different tools fight over the same responsibility
- Model uses tool when it shouldn't, or skips it when it must
### 4. Rendering/Transport Corruption
The agent's internal answer is correct, but the platform layer mutates it during delivery.
**Symptoms:**
- Logs show correct answer, user sees broken output
- Markdown rendering, JSON parsing, or streaming fragments corrupt valid responses
- Hidden fallback agent quietly replaces the answer before delivery
- Output differs between terminal and UI
### 5. Hidden Agent Layers
Silent repair, retry, summarization, or recall agents run without explicit contracts.
**Symptoms:**
- Output changes between internal generation and user delivery
- "Auto-fix" loops run a second LLM pass the user doesn't know about
- Multiple agents modify the same output without coordination
- Answers get "smoothed" or "corrected" by invisible layers
## Audit Workflow
### Phase 1: Scope
Define what you're auditing:
- **Target system** — what agent application?
- **Entrypoints** — how do users interact with it?
- **Model stack** — which LLM(s) and providers?
- **Symptoms** — what does the user report?
- **Time window** — when did it start?
- **Layers to audit** — which of the 12 layers apply?
### Phase 2: Evidence Collection
Gather evidence from the codebase:
- **Source code** — agent loop, tool router, memory admission, prompt assembly
- **Logs** — historical session traces, tool call records
- **Config** — prompt templates, tool schemas, provider settings
- **Memory files** — SOPs, knowledge bases, session archives
Use `rg` to search for anti-patterns:
```bash
# Tool requirements expressed only in prompt text (not code)
rg "must.*tool|必须.*工具|required.*call" --type md
# Tool execution without validation
rg "tool_call|toolCall|tool_use" --type py --type ts
# Hidden LLM calls outside main agent loop
rg "completion|chat\.create|messages\.create|llm\.invoke"
# Memory admission without user-correction priority
rg "memory.*admit|long.*term.*update|persist.*memory" --type py --type ts
# Fallback loops that run additional LLM calls
rg "fallback|retry.*llm|repair.*prompt|re-?prompt" --type py --type ts
# Silent output mutation
rg "mutate|rewrite.*response|transform.*output|shap" --type py --type ts
```
### Phase 3: Failure Mapping
For each finding, document:
- **Symptom** — what the user sees
- **Mechanism** — how the wrapper causes it
- **Source layer** — which of the 12 layers
- **Root cause** — the deepest cause
- **Evidence** — file:line or log:row reference
- **Confidence** — 0.0 to 1.0
### Phase 4: Fix Strategy
Default fix order (code-first, not prompt-first):
1. **Code-gate tool requirements** — enforce in code, not just prompt text
2. **Remove or narrow hidden repair agents** — make fallback explicit with contracts
3. **Reduce context duplication** — same info through prompt + history + memory + distillation
4. **Tighten memory admission** — user corrections > agent assertions
5. **Tighten distillation triggers** — don't compress what shouldn't be compressed
6. **Reduce rendering mutation** — pass-through, don't transform
7. **Convert to typed JSON envelopes** — structured internal flow, not freeform prose
## Severity Model
| Level | Meaning | Action |
|-------|---------|--------|
| `critical` | Agent can confidently produce wrong operational behavior | Fix before next release |
| `high` | Agent frequently degrades correctness or stability | Fix this sprint |
| `medium` | Correctness usually survives but output is fragile or wasteful | Plan for next cycle |
| `low` | Mostly cosmetic or maintainability issues | Backlog |
## Output Format
Present findings to the user in this order:
1. **Severity-ranked findings** (most critical first)
2. **Architecture diagnosis** (which layer corrupted what, and why)
3. **Ordered fix plan** (code-first, not prompt-first)
Do not lead with compliments or summaries. If the system is broken, say so directly.
## Quick Diagnostic Questions
When auditing an agent system, answer these:
| # | Question | If Yes → |
|---|----------|----------|
| 1 | Can the model skip a required tool and still answer? | Tool not code-gated |
| 2 | Does old conversation content appear in new turns? | Memory contamination |
| 3 | Is the same info in system prompt AND memory AND history? | Context duplication |
| 4 | Does the platform run a second LLM pass before delivery? | Hidden repair loop |
| 5 | Does the output differ between internal generation and user delivery? | Rendering corruption |
| 6 | Are "must use tool X" rules only in prompt text? | Tool discipline failure |
| 7 | Can the agent's own monologue become persistent memory? | Memory poisoning |
## Anti-Patterns to Avoid
- Avoid blaming the model before falsifying wrapper-layer regressions.
- Avoid blaming memory without showing the contamination path.
- Do not let a clean current state erase a dirty historical incident.
- Do not treat markdown prose as a trustworthy internal protocol.
- Do not accept "must use tool" in prompt text when code never enforces it.
- Keep findings direct, evidence-backed, and severity-ranked.
## Report Schema
Audits should produce structured reports following this shape:
```json
{
"schema_version": "ecc.agent-architecture-audit.report.v1",
"executive_verdict": {
"overall_health": "high_risk",
"primary_failure_mode": "string",
"most_urgent_fix": "string"
},
"scope": {
"target_name": "string",
"model_stack": ["string"],
"layers_to_audit": ["string"]
},
"findings": [
{
"severity": "critical|high|medium|low",
"title": "string",
"mechanism": "string",
"source_layer": "string",
"root_cause": "string",
"evidence_refs": ["file:line"],
"confidence": 0.0,
"recommended_fix": "string"
}
],
"ordered_fix_plan": [
{ "order": 1, "goal": "string", "why_now": "string", "expected_effect": "string" }
]
}
```
## Related Skills
- `agent-introspection-debugging` — Debug agent runtime failures (loops, timeouts, state errors)
- `agent-eval` — Benchmark agent performance head-to-head
- `security-review` — Security audit for code and configuration
- `autonomous-agent-harness` — Set up autonomous agent operations
- `agent-harness-construction` — Build agent harnesses from scratch

387
skills/agentic-os/SKILL.md Normal file
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---
name: agentic-os
description: Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases.
origin: ECC
---
# Agentic OS
Treat Claude Code as a persistent runtime / operating system rather than a chat session. This skill codifies the architecture used by production agentic setups: a kernel config that routes tasks to specialist agents, persistent file-based memory, scheduled automation, and a JSON/markdown data layer.
## When to Activate
- Building a multi-agent workflow inside Claude Code
- Setting up persistent Claude Code automation that survives session restarts
- Creating a "personal OS" or "agentic OS" for recurring tasks
- User says "agentic OS", "personal OS", "multi-agent", "agent coordinator", "persistent agent"
- Structuring long-running projects where context must survive across sessions
## Architecture Overview
The Agentic OS has four layers. Each layer is a directory in your project root.
```
project-root/
├── CLAUDE.md # Kernel: identity, routing rules, agent registry
├── agents/ # Specialist agent definitions (markdown prompts)
├── .claude/commands/ # Slash commands: user-facing CLI
├── scripts/ # Daemon scripts: scheduled or event-driven tasks
└── data/ # State: JSON/markdown filesystem, no external DB
```
### Layer Responsibilities
| Layer | Purpose | Persistence |
|---|---|---|
| Kernel (`CLAUDE.md`) | Identity, routing, model policies, agent registry | Git-tracked |
| Agents (`agents/`) | Specialist identities with scoped tools and memory | Git-tracked |
| Commands (`.claude/commands/`) | User-facing slash commands (`/daily-sync`, `/outreach`) | Git-tracked |
| Scripts (`scripts/`) | Python/JS daemons triggered by cron or webhooks | Git-tracked |
| State (`data/`) | Append-only logs, project state, decision records | Git-ignored or tracked |
## The Kernel
`CLAUDE.md` is the kernel. It acts as the COO / orchestrator. Claude reads it at session start and uses it to route work.
### Kernel Structure
```markdown
# CLAUDE.md - Agentic OS Kernel
## Identity
You are the COO of [project-name]. You route tasks to specialist agents.
You never write code directly. You delegate to the right agent and synthesize results.
## Agent Registry
| Agent | Role | Trigger |
|---|---|---|
| @dev | Code, architecture, debugging | User says "build", "fix", "refactor" |
| @writer | Documentation, content, emails | User says "write", "draft", "blog" |
| @researcher | Research, analysis, fact-checking | User says "research", "analyze", "compare" |
| @ops | DevOps, deployment, infrastructure | User says "deploy", "CI", "server" |
## Routing Rules
1. Parse the user request for intent keywords
2. Match to the Agent Registry trigger column
3. Load the corresponding agent file from `agents/<name>.md`
4. Hand off execution with full context
5. Synthesize and present the result back to the user
## Model Policies
- Default model: use the repository or harness default.
- @dev tasks: prefer a higher-reasoning model for complex architecture.
- @researcher tasks: use the configured research-capable model and approved search tools.
- Cost ceiling: warn before exceeding the project's configured spend threshold.
```
### Key Principle
The kernel should be **small and declarative**. Routing logic lives in plain markdown tables, not code. This makes the system inspectable and editable without debugging.
## Specialist Agents
Each agent is a standalone markdown file in `agents/`. Claude loads the relevant agent file when routing a task.
### Agent Definition Format
```markdown
# @dev - Software Engineer
## Identity
You are a senior software engineer. You write clean, tested, production-grade code.
You prefer simple solutions. You ask clarifying questions when requirements are ambiguous.
## Memory Scope
- Read `data/projects/<current-project>.md` for context
- Read `data/decisions/` for architectural decisions
- Append execution logs to `data/logs/<date>-@dev.md`
## Tool Access
- Full filesystem access within project root
- Git operations (status, diff, commit, branch)
- Test runner access
- MCP servers as configured in `.claude/mcp.json`
## Constraints
- Always write tests for new features
- Never commit directly to `main`; use feature branches
- Prefer editing existing files over creating new ones
- Keep functions under 50 lines when possible
```
### Multi-Agent Collaboration Pattern
When a task spans multiple agents, the kernel runs them sequentially or in parallel:
```
User: "Build a landing page and write the launch blog post"
Kernel routing:
1. @dev - "Build a landing page with [requirements]"
2. @writer - "Write a launch blog post for [product] using the landing page copy"
3. Kernel synthesizes both outputs into a unified response
```
For parallel execution, use Claude Code's background task capability or shell scripts that invoke Claude Code with specific agent contexts.
## Commands and Daily Workflows
Slash commands are markdown files in `.claude/commands/`. They define reusable workflows.
### Command Structure
```markdown
# /daily-sync
Run the morning briefing:
1. Read `data/logs/last-sync.md` for context
2. Check project status: `git status`, pending PRs, CI health
3. Review `data/inbox/` for new tasks or decisions needed
4. Generate a summary of blockers, priorities, and next actions
5. Append the briefing to `data/logs/daily/<date>.md`
```
### Standard Command Set
| Command | Purpose |
|---|---|
| `/daily-sync` | Morning briefing: status, blockers, priorities |
| `/outreach` | Run outreach workflow (email, LinkedIn, etc.) |
| `/research <topic>` | Deep research with citation tracking |
| `/apply-jobs` | Tailor resume + cover letter for a target role |
| `/analytics` | Pull metrics from Stripe, GitHub, or custom sources |
| `/interview-prep` | Generate flashcards or mock interview questions |
| `/decision <topic>` | Log a decision with pros/cons and chosen path |
### Activating Commands
Place command files in `.claude/commands/<command-name>.md`. Claude Code auto-discovers them. Users invoke them with `/<command-name>`.
## Persistent Memory
Memory is file-based. No vector DB, no Redis, no PostgreSQL. JSON and markdown files in `data/` are the database.
### Memory Directory Structure
```
data/
├── daily-logs/ # Append-only daily activity logs
├── projects/ # Per-project context files
├── decisions/ # Architectural and business decisions (ADR format)
├── inbox/ # New tasks or ideas awaiting triage
├── contacts/ # People, companies, relationship notes
└── templates/ # Reusable prompts and formats
```
### Daily Log Format
```markdown
# 2026-04-22 - Daily Log
## Sessions
- 09:00 - Session 1: Refactored auth module (@dev)
- 11:30 - Session 2: Drafted investor update (@writer)
## Decisions
- Switched from JWT to session cookies (see `data/decisions/2026-04-22-auth.md`)
## Blockers
- Waiting on API key from vendor (follow up 2026-04-24)
## Next Actions
- [ ] Merge auth refactor PR
- [ ] Send investor update for review
```
### Auto-Reflection Pattern
At the end of each session, the kernel appends a reflection:
```markdown
## Reflection - Session 3
- What worked: Parallel agent execution saved 20 minutes
- What didn't: @researcher hit a paywalled source, need better source ranking
- What to change: Add `source-tier` field to research notes (A/B/C credibility)
```
This creates a feedback loop that improves the system over time without code changes.
## Scheduled Automation
Agentic OS tasks run on a schedule using external cron, not Claude Code's built-in cron (which dies when the session ends).
### macOS: LaunchAgent
```xml
<!-- ~/Library/LaunchAgents/com.agentic.daily-sync.plist -->
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" ...>
<plist version="1.0">
<dict>
<key>Label</key>
<string>com.agentic.daily-sync</string>
<key>ProgramArguments</key>
<array>
<string>/claude</string>
<string>--cwd</string>
<string>/path/to/project</string>
<string>--command</string>
<string>/daily-sync</string>
</array>
<key>StartCalendarInterval</key>
<dict>
<key>Hour</key>
<integer>8</integer>
<key>Minute</key>
<integer>0</integer>
</dict>
<key>StandardOutPath</key>
<string>/tmp/agentic-daily-sync.log</string>
</dict>
</plist>
```
### Linux: systemd Timer
```ini
# ~/.config/systemd/user/agentic-daily-sync.service
[Unit]
Description=Agentic OS Daily Sync
[Service]
Type=oneshot
ExecStart=/usr/local/bin/claude --cwd /path/to/project --command /daily-sync
```
```ini
# ~/.config/systemd/user/agentic-daily-sync.timer
[Unit]
Description=Run daily sync every morning
[Timer]
OnCalendar=*-*-* 8:00:00
Persistent=true
[Install]
WantedBy=timers.target
```
### Cross-Platform: pm2
```bash
# ecosystem.config.js
module.exports = {
apps: [{
name: 'agentic-daily-sync',
script: 'claude',
args: '--cwd /path/to/project --command /daily-sync',
cron_restart: '0 8 * * *',
autorestart: false
}]
};
```
## Data Layer
The data layer is your filesystem. Use JSON for structured data and markdown for narrative content.
### JSON for Structured State
```json
// data/projects/website-v2.json
{
"name": "Website v2",
"status": "in-progress",
"milestone": "beta-launch",
"agents_involved": ["@dev", "@writer"],
"files": {
"spec": "docs/website-v2-spec.md",
"design": "designs/website-v2.fig"
},
"metrics": {
"commits": 47,
"last_session": "2026-04-22T11:30:00Z"
}
}
```
### Markdown for Narrative
Use markdown for anything a human reads: decisions, logs, research notes, contact records.
### Schema Evolution
Never rename existing fields. Add new fields and mark old ones deprecated:
```json
{
"name": "Website v2",
"status": "in-progress",
"milestone": "beta-launch",
"_deprecated_priority": "high",
"priority_v2": { "level": "high", "rationale": "Blocks investor demo" }
}
```
This keeps historical data readable without migration scripts.
## Anti-Patterns
### Monolithic Single Agent
```markdown
# BAD - One agent does everything
You are a full-stack developer, writer, researcher, and DevOps engineer.
```
Split into specialist agents. The kernel handles routing.
### Stateless Sessions
```markdown
# BAD - No memory between sessions
Starting fresh every time Claude Code opens.
```
Always read `data/` at session start and write back at session end.
### Hardcoded Credentials
```markdown
# BAD - API keys in agent files or CLAUDE.md
Your OpenAI API key is sk-xxxxxxxx
```
Use environment variables or a `.env` file loaded by scripts. Agents reference `process.env.API_KEY`.
### External Database for Simple State
```markdown
# BAD - PostgreSQL for a solo user's agentic OS
```
Use JSON/markdown files until you have multiple concurrent users or GBs of data.
### Over-Engineered Routing
```markdown
# BAD - Routing logic in code instead of markdown tables
if (intent.includes('deploy')) { agent = opsAgent; }
```
Keep routing declarative in `CLAUDE.md` markdown tables. It is inspectable, editable, and debuggable.
## Best Practices
- [ ] `CLAUDE.md` is under 200 lines and fits in context window
- [ ] Each agent file is under 100 lines and focused on one domain
- [ ] `data/` is git-ignored for sensitive logs, git-tracked for decisions and specs
- [ ] Commands use imperative names: `/daily-sync`, not `/run-daily-sync`
- [ ] Logs are append-only; never edit past daily logs
- [ ] Every agent has a `Memory Scope` section defining what files it reads
- [ ] Reflections are written at the end of every session
- [ ] Scheduled tasks use external cron (LaunchAgent, systemd, pm2), not Claude Code's session cron
- [ ] Cost tracking: log API spend per session in `data/logs/<date>-costs.json`
- [ ] One project = one Agentic OS. Do not share a single `CLAUDE.md` across unrelated projects.

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---
name: error-handling
description: Patterns for robust error handling across TypeScript, Python, and Go. Covers typed errors, error boundaries, retries, circuit breakers, and user-facing error messages.
origin: ECC
---
# Error Handling Patterns
Consistent, robust error handling patterns for production applications.
## When to Activate
- Designing error types or exception hierarchies for a new module or service
- Adding retry logic or circuit breakers for unreliable external dependencies
- Reviewing API endpoints for missing error handling
- Implementing user-facing error messages and feedback
- Debugging cascading failures or silent error swallowing
## Core Principles
1. **Fail fast and loudly** — surface errors at the boundary where they occur; don't bury them
2. **Typed errors over string messages** — errors are first-class values with structure
3. **User messages ≠ developer messages** — show friendly text to users, log full context server-side
4. **Never swallow errors silently** — every `catch` block must either handle, re-throw, or log
5. **Errors are part of your API contract** — document every error code a client may receive
## TypeScript / JavaScript
### Typed Error Classes
```typescript
// Define an error hierarchy for your domain
export class AppError extends Error {
constructor(
message: string,
public readonly code: string,
public readonly statusCode: number = 500,
public readonly details?: unknown,
) {
super(message)
this.name = this.constructor.name
// Maintain correct prototype chain in transpiled ES5 JavaScript.
// Required for `instanceof` checks (e.g., `error instanceof NotFoundError`)
// to work correctly when extending the built-in Error class.
Object.setPrototypeOf(this, new.target.prototype)
}
}
export class NotFoundError extends AppError {
constructor(resource: string, id: string) {
super(`${resource} not found: ${id}`, 'NOT_FOUND', 404)
}
}
export class ValidationError extends AppError {
constructor(message: string, details: { field: string; message: string }[]) {
super(message, 'VALIDATION_ERROR', 422, details)
}
}
export class UnauthorizedError extends AppError {
constructor(reason = 'Authentication required') {
super(reason, 'UNAUTHORIZED', 401)
}
}
export class RateLimitError extends AppError {
constructor(public readonly retryAfterMs: number) {
super('Rate limit exceeded', 'RATE_LIMITED', 429)
}
}
```
### Result Pattern (no-throw style)
For operations where failure is expected and common (parsing, external calls):
```typescript
type Result<T, E = AppError> =
| { ok: true; value: T }
| { ok: false; error: E }
function ok<T>(value: T): Result<T> {
return { ok: true, value }
}
function err<E>(error: E): Result<never, E> {
return { ok: false, error }
}
// Usage
async function fetchUser(id: string): Promise<Result<User>> {
try {
const user = await db.users.findUnique({ where: { id } })
if (!user) return err(new NotFoundError('User', id))
return ok(user)
} catch (e) {
return err(new AppError('Database error', 'DB_ERROR'))
}
}
const result = await fetchUser('abc-123')
if (!result.ok) {
// TypeScript knows result.error here
logger.error('Failed to fetch user', { error: result.error })
return
}
// TypeScript knows result.value here
console.log(result.value.email)
```
### API Error Handler (Next.js / Express)
```typescript
import { NextRequest, NextResponse } from 'next/server'
function handleApiError(error: unknown): NextResponse {
// Known application error
if (error instanceof AppError) {
return NextResponse.json(
{
error: {
code: error.code,
message: error.message,
...(error.details ? { details: error.details } : {}),
},
},
{ status: error.statusCode },
)
}
// Zod validation error
if (error instanceof z.ZodError) {
return NextResponse.json(
{
error: {
code: 'VALIDATION_ERROR',
message: 'Request validation failed',
details: error.issues.map(i => ({
field: i.path.join('.'),
message: i.message,
})),
},
},
{ status: 422 },
)
}
// Unexpected error — log details, return generic message
console.error('Unexpected error:', error)
return NextResponse.json(
{ error: { code: 'INTERNAL_ERROR', message: 'An unexpected error occurred' } },
{ status: 500 },
)
}
export async function POST(req: NextRequest) {
try {
// ... handler logic
} catch (error) {
return handleApiError(error)
}
}
```
### React Error Boundary
```typescript
import { Component, ErrorInfo, ReactNode } from 'react'
interface Props {
fallback: ReactNode
onError?: (error: Error, info: ErrorInfo) => void
children: ReactNode
}
interface State {
hasError: boolean
error: Error | null
}
export class ErrorBoundary extends Component<Props, State> {
state: State = { hasError: false, error: null }
static getDerivedStateFromError(error: Error): State {
return { hasError: true, error }
}
componentDidCatch(error: Error, info: ErrorInfo) {
this.props.onError?.(error, info)
console.error('Unhandled React error:', error, info)
}
render() {
if (this.state.hasError) return this.props.fallback
return this.props.children
}
}
// Usage
<ErrorBoundary fallback={<p>Something went wrong. Please refresh.</p>}>
<MyComponent />
</ErrorBoundary>
```
## Python
### Custom Exception Hierarchy
```python
class AppError(Exception):
"""Base application error."""
def __init__(self, message: str, code: str, status_code: int = 500):
super().__init__(message)
self.code = code
self.status_code = status_code
class NotFoundError(AppError):
def __init__(self, resource: str, id: str):
super().__init__(f"{resource} not found: {id}", "NOT_FOUND", 404)
class ValidationError(AppError):
def __init__(self, message: str, details: list[dict] | None = None):
super().__init__(message, "VALIDATION_ERROR", 422)
self.details = details or []
```
### FastAPI Global Exception Handler
```python
from fastapi import FastAPI, Request
from fastapi.responses import JSONResponse
app = FastAPI()
@app.exception_handler(AppError)
async def app_error_handler(request: Request, exc: AppError) -> JSONResponse:
return JSONResponse(
status_code=exc.status_code,
content={"error": {"code": exc.code, "message": str(exc)}},
)
@app.exception_handler(Exception)
async def generic_error_handler(request: Request, exc: Exception) -> JSONResponse:
# Log full details, return generic message
logger.exception("Unexpected error", exc_info=exc)
return JSONResponse(
status_code=500,
content={"error": {"code": "INTERNAL_ERROR", "message": "An unexpected error occurred"}},
)
```
## Go
### Sentinel Errors and Error Wrapping
```go
package domain
import "errors"
// Sentinel errors for type-checking
var (
ErrNotFound = errors.New("not found")
ErrUnauthorized = errors.New("unauthorized")
ErrConflict = errors.New("conflict")
)
// Wrap errors with context — never lose the original
func (r *UserRepository) FindByID(ctx context.Context, id string) (*User, error) {
user, err := r.db.QueryRow(ctx, "SELECT * FROM users WHERE id = $1", id)
if errors.Is(err, sql.ErrNoRows) {
return nil, fmt.Errorf("user %s: %w", id, ErrNotFound)
}
if err != nil {
return nil, fmt.Errorf("querying user %s: %w", id, err)
}
return user, nil
}
// At the handler level, unwrap to determine response
func (h *Handler) GetUser(w http.ResponseWriter, r *http.Request) {
user, err := h.service.GetUser(r.Context(), chi.URLParam(r, "id"))
if err != nil {
switch {
case errors.Is(err, domain.ErrNotFound):
writeError(w, http.StatusNotFound, "not_found", err.Error())
case errors.Is(err, domain.ErrUnauthorized):
writeError(w, http.StatusForbidden, "forbidden", "Access denied")
default:
slog.Error("unexpected error", "err", err)
writeError(w, http.StatusInternalServerError, "internal_error", "An unexpected error occurred")
}
return
}
writeJSON(w, http.StatusOK, user)
}
```
## Retry with Exponential Backoff
```typescript
interface RetryOptions {
maxAttempts?: number
baseDelayMs?: number
maxDelayMs?: number
retryIf?: (error: unknown) => boolean
}
async function withRetry<T>(
fn: () => Promise<T>,
options: RetryOptions = {},
): Promise<T> {
const {
maxAttempts = 3,
baseDelayMs = 500,
maxDelayMs = 10_000,
retryIf = () => true,
} = options
let lastError: unknown
for (let attempt = 1; attempt <= maxAttempts; attempt++) {
try {
return await fn()
} catch (error) {
lastError = error
if (attempt === maxAttempts || !retryIf(error)) throw error
const jitter = Math.random() * baseDelayMs
const delay = Math.min(baseDelayMs * 2 ** (attempt - 1) + jitter, maxDelayMs)
await new Promise(resolve => setTimeout(resolve, delay))
}
}
throw lastError
}
// Usage: retry transient network errors, not 4xx
const data = await withRetry(() => fetch('/api/data').then(r => r.json()), {
maxAttempts: 3,
retryIf: (error) => !(error instanceof AppError && error.statusCode < 500),
})
```
## User-Facing Error Messages
Map error codes to human-readable messages. Keep technical details out of user-visible text.
```typescript
const USER_ERROR_MESSAGES: Record<string, string> = {
NOT_FOUND: 'The requested item could not be found.',
UNAUTHORIZED: 'Please sign in to continue.',
FORBIDDEN: "You don't have permission to do that.",
VALIDATION_ERROR: 'Please check your input and try again.',
RATE_LIMITED: 'Too many requests. Please wait a moment and try again.',
INTERNAL_ERROR: 'Something went wrong on our end. Please try again later.',
}
export function getUserMessage(code: string): string {
return USER_ERROR_MESSAGES[code] ?? USER_ERROR_MESSAGES.INTERNAL_ERROR
}
```
## Error Handling Checklist
Before merging any code that touches error handling:
- [ ] Every `catch` block handles, re-throws, or logs — no silent swallowing
- [ ] API errors follow the standard envelope `{ error: { code, message } }`
- [ ] User-facing messages contain no stack traces or internal details
- [ ] Full error context is logged server-side
- [ ] Custom error classes extend a base `AppError` with a `code` field
- [ ] Async functions surface errors to callers — no fire-and-forget without fallback
- [ ] Retry logic only retries retriable errors (not 4xx client errors)
- [ ] React components are wrapped in `ErrorBoundary` for rendering errors

575
skills/motion-ui/SKILL.md Normal file
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---
name: motion-ui
description: "Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns."
origin: ECC
---
# Motion System v4.2
Production-ready UI motion system for React / Next.js.
Focused on **performance, accessibility, and usability** — not decoration.
## When to Use
Use this motion system when motion:
* Guides attention (e.g., onboarding, key actions)
* Communicates state (loading, success, error, transitions)
* Preserves spatial continuity (layout changes, navigation)
### Appropriate Scenarios
* Interactive components (buttons, modals, menus)
* State transitions (loading → loaded, open → closed)
* Navigation and layout continuity (shared elements, crossfade)
### Considerations
* **Accessibility**: Always support reduced motion
* **Device adaptation**: Adjust for low-end devices
* **Performance trade-offs**: Prefer responsiveness over visual smoothness
### Avoid Using Motion When
* It is purely decorative
* It reduces usability or clarity
* It impacts performance negatively
---
## How It Works
### Core Principle
Motion must:
* Guide attention
* Communicate state
* Preserve spatial continuity
If it does none → remove it.
---
### Installation
```bash
npm install motion
```
---
### Version
* `motion/react` - default for current Motion for React projects (package: `motion`)
* `framer-motion` - legacy import path for projects that still depend on Framer Motion
**Do not mix.** Mixing causes conflicting internal schedulers and broken `AnimatePresence` contexts — components from one package will not coordinate exit animations with components from the other.
To check which version your project uses:
```bash
cat package.json | grep -E '"motion"|"framer-motion"'
```
Always import from one source consistently:
```ts
// Correct (modern)
import { motion, AnimatePresence } from "motion/react"
// Correct (legacy)
import { motion, AnimatePresence } from "framer-motion"
// Never mix both in the same project
```
---
### Motion Tokens
```ts
// motionTokens.ts
export const motionTokens = {
duration: {
fast: 0.18,
normal: 0.35,
slow: 0.6
},
// Use these as the `ease` value inside a `transition` object:
// transition={{ duration: motionTokens.duration.normal, ease: motionTokens.easing.smooth }}
easing: {
smooth: [0.22, 1, 0.36, 1] as [number, number, number, number],
sharp: [0.4, 0, 0.2, 1] as [number, number, number, number]
},
distance: {
sm: 8,
md: 16,
lg: 24
}
}
```
Usage example:
```tsx
import { motionTokens } from "@/lib/motionTokens"
<motion.div
initial={{ opacity: 0, y: motionTokens.distance.md }}
animate={{ opacity: 1, y: 0 }}
transition={{
duration: motionTokens.duration.normal,
ease: motionTokens.easing.smooth
}}
/>
```
---
### Performance Rules
**Safe**
* transform
* opacity
**Avoid**
* width / height
* top / left
Rule: responsiveness > smoothness
---
### Device Adaptation
The heuristic combines CPU core count **and** available memory for a more reliable signal. `deviceMemory` is available on Chrome/Android; the fallback covers Safari and Firefox.
```ts
const isLowEnd =
typeof navigator !== "undefined" && (
// Low memory (Chrome/Android only; undefined elsewhere → treat as capable)
(navigator.deviceMemory !== undefined && navigator.deviceMemory <= 2) ||
// Few cores AND no memory API (covers Safari/Firefox on weak hardware)
(navigator.deviceMemory === undefined && navigator.hardwareConcurrency <= 4)
)
const duration = isLowEnd ? 0.2 : 0.4
```
---
### Accessibility
#### JS (useReducedMotion)
```tsx
import { motion, useReducedMotion } from "motion/react"
export function FadeIn() {
const reduce = useReducedMotion()
return (
<motion.div
initial={{ opacity: 0, y: reduce ? 0 : 24 }}
animate={{ opacity: 1, y: 0 }}
/>
)
}
```
#### CSS
```css
@media (prefers-reduced-motion: reduce) {
.motion-safe-transition {
transition: opacity 0.2s;
}
.motion-reduce-transform {
transform: none !important;
}
}
```
#### Tailwind
```html
<div class="motion-safe:animate-fade motion-reduce:opacity-100"></div>
```
---
### Architecture & Patterns
#### Core Patterns
| Scenario | Pattern |
|---|---|
| Hover feedback | `whileHover` |
| Tap / press feedback | `whileTap` |
| Reveal on scroll | `whileInView` |
| Scroll-linked value | `useScroll` + `useTransform` |
| Conditional mount/unmount | `AnimatePresence` |
| Small layout shifts (single element, < ~300px change) | `layout` prop |
| Large layout shifts or full-page reflows | Avoid `layout`; use CSS transitions or page-level routing instead |
| Complex, imperative sequences | `useAnimate` |
> **Why avoid `layout` on large containers?** Framer's layout animation uses `transform` to reconcile positions, but on elements that span the full viewport or trigger deep reflow, the measurement cost causes visible jank and CLS. Prefer CSS Grid/Flexbox transitions or coordinate with `layoutId` on specific child elements only.
#### Layout & Transitions
* Shared element transitions → `layoutId` (must be unique per mounted instance)
* Enter / exit transitions → `AnimatePresence` (see `mode` guidance below)
#### AnimatePresence `mode`
Always specify `mode` explicitly — the default (`"sync"`) runs enter and exit simultaneously, which causes visual overlap in most UI patterns.
| `mode` | When to use |
|---|---|
| `"wait"` | Exit completes before enter starts. Use for **modals, toasts, page transitions**. |
| `"sync"` (default) | Enter and exit overlap. Use only when overlap is intentional (e.g., crossfade carousels). |
| `"popLayout"` | Exiting element is popped out of flow immediately; remaining items animate to fill. Use for **lists, tabs, dismissible cards**. |
```tsx
// Modal — always use "wait"
<AnimatePresence mode="wait">
{open && <Modal key="modal" />}
</AnimatePresence>
// Dismissible list item — use "popLayout"
<AnimatePresence mode="popLayout">
{items.map(item => <Card key={item.id} />)}
</AnimatePresence>
```
---
### Advanced Patterns (Concepts)
* Parallax (scroll-linked transforms)
* Scroll storytelling (sticky sections)
* 3D tilt (pointer-based transforms)
* Crossfade (shared `layoutId`)
* Progressive reveal (clip-path)
* Skeleton loading (looped opacity)
* Micro-interactions (hover/tap feedback)
* Spring system (physics-based motion)
---
### Modal Essentials
* Focus trap
* Escape close
* Scroll lock
* ARIA roles
* Use `AnimatePresence mode="wait"` so exit animation completes before the next modal enters
#### Full Example
```tsx
import React, { useEffect, useRef, useState } from "react"
import { motion, AnimatePresence } from "motion/react"
function useFocusTrap(ref: React.RefObject<HTMLDivElement | null>, active: boolean) {
useEffect(() => {
if (!active || !ref.current) return
const el = ref.current
const focusable = el.querySelectorAll<HTMLElement>(
'button, [href], input, select, textarea, [tabindex]:not([tabindex="-1"])'
)
const first = focusable[0]
const last = focusable[focusable.length - 1]
function handleKey(e: KeyboardEvent) {
if (e.key !== "Tab") return
if (e.shiftKey && document.activeElement === first) {
e.preventDefault()
last?.focus()
} else if (!e.shiftKey && document.activeElement === last) {
e.preventDefault()
first?.focus()
}
}
el.addEventListener("keydown", handleKey)
first?.focus()
return () => el.removeEventListener("keydown", handleKey)
}, [active, ref])
}
function useScrollLock(active: boolean) {
useEffect(() => {
if (!active) return
const prev = document.body.style.overflow
document.body.style.overflow = "hidden"
return () => { document.body.style.overflow = prev }
}, [active])
}
function Modal({ open, closeModal }: { open: boolean; closeModal: () => void }) {
const ref = useRef<HTMLDivElement>(null)
useFocusTrap(ref, open)
useScrollLock(open)
useEffect(() => {
function onKey(e: KeyboardEvent) {
if (e.key === "Escape") closeModal()
}
if (open) window.addEventListener("keydown", onKey)
return () => window.removeEventListener("keydown", onKey)
}, [open, closeModal])
return (
// mode="wait" ensures exit animation finishes before any new modal enters
<AnimatePresence mode="wait">
{open && (
<motion.div
role="dialog"
aria-modal="true"
aria-labelledby="modal-title"
initial={{ opacity: 0 }}
animate={{ opacity: 1 }}
exit={{ opacity: 0 }}
transition={{ duration: 0.2 }}
className="fixed inset-0 flex items-center justify-center bg-black/40"
>
<motion.div
ref={ref}
initial={{ scale: 0.95, opacity: 0 }}
animate={{ scale: 1, opacity: 1 }}
exit={{ scale: 0.95, opacity: 0 }}
transition={{ duration: 0.2, ease: [0.22, 1, 0.36, 1] }}
className="bg-white p-6 rounded"
>
<h2 id="modal-title">Dialog Title</h2>
<button onClick={closeModal}>Close</button>
</motion.div>
</motion.div>
)}
</AnimatePresence>
)
}
export function Example() {
const [open, setOpen] = useState(false)
return (
<>
<button onClick={() => setOpen(true)}>Open</button>
<Modal open={open} closeModal={() => setOpen(false)} />
</>
)
}
```
---
### SSR Safety
* Match initial states between server and client renders
* Avoid implicit animation origins (always set `initial` explicitly)
* Wrap motion components in `"use client"` in Next.js App Router
---
### Debugging
Check:
* Wrong import (mixing `motion/react` and `framer-motion`)
* Missing `"use client"` directive in Next.js App Router
* Missing `key` prop on `AnimatePresence` children
* Hydration mismatch (initial state differs between SSR and client)
* `layout` prop misuse on large containers causing reflow jank
* State-driven animation not triggering (check dependency arrays)
---
### QA
* No CLS
* Keyboard works
* Focus trapped in modals
* ARIA roles correct (`role="dialog"`, `aria-modal="true"`)
* Reduced motion respected (`useReducedMotion` + CSS media query)
* No hydration warnings in Next.js
* Animations stop cleanly on unmount (no memory leaks)
* `AnimatePresence mode` set explicitly on all usage sites
---
### Anti-Patterns
* Animating layout properties (`width`, `height`, `top`, `left`)
* Infinite animations without purpose (always ask: what state does this communicate?)
* Over-staggering lists (keep `staggerChildren` ≤ 0.1s; beyond that it feels slow)
* Ignoring reduced motion preferences
* Using `layout` on large or full-viewport containers
* Omitting `mode` on `AnimatePresence` (default `"sync"` causes visual overlap)
* Using motion purely for decoration
---
### Philosophy
Motion is interaction design.
---
### Final Rule
> If motion does not improve UX → remove it.
---
## Examples
### Button Interaction
```tsx
import { motion } from "motion/react"
export function Button() {
return (
<motion.button
whileHover={{ scale: 1.02 }}
whileTap={{ scale: 0.97 }}
transition={{ duration: 0.15, ease: [0.4, 0, 0.2, 1] }}
>
Click me
</motion.button>
)
}
```
---
### Reduced Motion Example
```tsx
import { motion, useReducedMotion } from "motion/react"
export function FadeIn() {
const reduce = useReducedMotion()
return (
<motion.div
initial={{ opacity: 0, y: reduce ? 0 : 24 }}
animate={{ opacity: 1, y: 0 }}
transition={{ duration: reduce ? 0.1 : 0.35, ease: [0.22, 1, 0.36, 1] }}
/>
)
}
```
---
### Stagger List
```tsx
import { motion } from "motion/react"
const container = {
hidden: {},
visible: {
transition: { staggerChildren: 0.08 } // keep ≤ 0.1s to avoid sluggishness
}
}
const item = {
hidden: { opacity: 0, y: 10 },
visible: { opacity: 1, y: 0, transition: { duration: 0.3, ease: [0.22, 1, 0.36, 1] } }
}
export function List() {
return (
<motion.ul variants={container} initial="hidden" animate="visible">
{[1, 2, 3].map(i => (
<motion.li key={i} variants={item}>Item {i}</motion.li>
))}
</motion.ul>
)
}
```
---
### Modal with AnimatePresence
```tsx
import { motion, AnimatePresence } from "motion/react"
export function Modal({ open }: { open: boolean }) {
return (
<AnimatePresence mode="wait">
{open && (
<motion.div
initial={{ opacity: 0, scale: 0.95 }}
animate={{ opacity: 1, scale: 1 }}
exit={{ opacity: 0, scale: 0.95 }}
transition={{ duration: 0.2, ease: [0.22, 1, 0.36, 1] }}
/>
)}
</AnimatePresence>
)
}
```
---
### Scroll Parallax
```tsx
import { useScroll, useTransform, motion } from "motion/react"
export function Parallax() {
const { scrollYProgress } = useScroll()
const y = useTransform(scrollYProgress, [0, 1], [0, -80])
return <motion.div style={{ y }} />
}
```
---
### Skeleton Loading
```tsx
import { motion } from "motion/react"
export function Skeleton() {
return (
<motion.div
className="bg-gray-200 h-6 w-full rounded"
animate={{ opacity: [0.5, 1, 0.5] }}
transition={{
duration: 1.5, // comfortable pulse — was missing, caused fast flash
repeat: Infinity,
ease: "easeInOut"
}}
/>
)
}
```
---
### Shared Layout (Crossfade)
```tsx
import { motion } from "motion/react"
// layoutId must be unique per mounted instance.
// If multiple instances can exist simultaneously, append a unique id:
// layoutId={`shared-${item.id}`}
export function Shared() {
return <motion.div layoutId="shared" />
}
```