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.
Best use case
api-connector-builder is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using api-connector-builder should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/api-connector-builder/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How api-connector-builder Compares
| Feature / Agent | api-connector-builder | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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
```text
providers/
existing_provider/
__init__.py
provider.py
config.py
```
### Connector-style
```text
integrations/
existing/
client.py
models.py
connector.py
```
### TypeScript plugin-style
```text
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-patterns`
- `mcp-server-patterns`
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