API Connector Builder
SkillDev toolsThis skill lets your AI add a new API connection to a codebase by following the way its existing connections are already written. The result is one more integration that fits the same structure as the rest, so the codebase does not end up with two different architectures.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding it, tell your AI which codebase needs the new connection. It will study how the existing integrations are written and build the new connector the same way.
Then ask your AI: use the API Connector Builder skill
What your AI can do with it
- Build a new API connector for your codebase
- Match the exact pattern your existing integrations follow
- Add one more connection without inventing a second architecture
- Keep new integration code consistent with what is already there
What this skill tells your AI
The instructions your AI receives, as published by affaan-m/ecc in skills/api-connector-builder/SKILL.md and read by ahel’s review.
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
Signals
- GitHub stars
- 256k
- Forks
- 38k
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
api-connector-builder- Source
- github.com/affaan-m/ecc