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The official Agent Skills spec (agentskills.io/specification) whitelists exactly 6 top-level frontmatter keys (name/description/license/compatibility/metadata/ allowed-tools). A top-level `origin` key fails the official validator (anthropics/skills quick_validate.py ALLOWED_PROPERTIES; skills-ref validate). This moves `origin: X` -> `metadata.origin: X` across the canonical skills/ tree, preserving each value verbatim. Frontmatter-only, minimal diff. - 251 SKILL.md updated (242 new metadata block, 9 appended to existing metadata) - origin values preserved verbatim (verified 251/251) - YAML validated on all changed files - scoped to canonical skills/ only (docs/<lang> translations + tool mirrors .cursor/.kiro/.agents left untouched; presumably regenerated from canonical) Addresses #2233
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name, description, metadata, version
| name | description | metadata | version | ||
|---|---|---|---|---|---|
| api-connector-builder | Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture. |
|
1.0.0 |
API Connector Builder
Use this when the job is to add a repo-native integration surface, not just a generic HTTP client.
The point is to match the host repository's pattern:
- connector layout
- config schema
- auth model
- error handling
- test style
- registration/discovery wiring
When to Use
- "Build a Jira connector for this project"
- "Add a Slack provider following the existing pattern"
- "Create a new integration for this API"
- "Build a plugin that matches the repo's connector style"
Guardrails
- do not invent a new integration architecture when the repo already has one
- do not start from vendor docs alone; start from existing in-repo connectors first
- do not stop at transport code if the repo expects registry wiring, tests, and docs
- do not cargo-cult old connectors if the repo has a newer current pattern
Workflow
1. Learn the house style
Inspect at least 2 existing connectors/providers and map:
- file layout
- abstraction boundaries
- config model
- retry / pagination conventions
- registry hooks
- test fixtures and naming
2. Narrow the target integration
Define only the surface the repo actually needs:
- auth flow
- key entities
- core read/write operations
- pagination and rate limits
- webhook or polling model
3. Build in repo-native layers
Typical slices:
- config/schema
- client/transport
- mapping layer
- connector/provider entrypoint
- registration
- tests
4. Validate against the source pattern
The new connector should look obvious in the codebase, not imported from a different ecosystem.
Reference Shapes
Provider-style
providers/
existing_provider/
__init__.py
provider.py
config.py
Connector-style
integrations/
existing/
client.py
models.py
connector.py
TypeScript plugin-style
src/integrations/
existing/
index.ts
client.ts
types.ts
test.ts
Quality Checklist
- matches an existing in-repo integration pattern
- config validation exists
- auth and error handling are explicit
- pagination/retry behavior follows repo norms
- registry/discovery wiring is complete
- tests mirror the host repo's style
- docs/examples are updated if expected by the repo
Related Skills
backend-patternsmcp-server-patternsgithub-ops