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데이터 및 연구 · SKILL.md

api-connector

api-connector

Connect to external APIs, process responses, and build integrations. TRIGGERS - Use when user wants to connect APIs, build integrations, or process API data.

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GitHub

name: api-connector description: | Connect to external APIs, process responses, and build integrations. TRIGGERS - Use when user wants to connect APIs, build integrations, or process API data.

API Connector

Overview

Designs and implements API integrations including authentication, request formatting, response parsing, and error handling.

Workflow

Step 1: Define the Integration

  1. API: Which service are you connecting to?
  2. Purpose: What data do you need or what action to trigger?
  3. Direction: Read data, write data, or both?
  4. Platform: Where is this running? (n8n, Make, Zapier, custom code)
  5. Frequency: One-time, on-demand, or scheduled?

Step 2: Map the Integration

[SOURCE] → [API Call] → [PROCESS] → [DESTINATION]

Step 3: Build the Connection

For each API call, document:

## API Call: [Name]

### Endpoint
`[METHOD] [URL]`

### Authentication
- **Type**: [API key, OAuth2, Bearer token]
- **Setup**: [How to get credentials]

### Request
**Headers:**
```json
{
  "Authorization": "Bearer {{API_KEY}}",
  "Content-Type": "application/json"
}

Body (if POST/PUT):

{
  "field": "{{value}}"
}

Response

Success (200):

{
  "data": { ... }
}

Fields to extract:

FieldPathUse
[name]response.data.name[purpose]

Error Handling

StatusMeaningAction
400Bad requestCheck input format
401UnauthorizedRefresh token
429Rate limitedWait and retry
500Server errorRetry with backoff

## Output Format
Complete integration documentation with code samples for the user's platform.

## Quality Checklist
- [ ] Authentication method documented
- [ ] Request format with examples
- [ ] Response parsing specified
- [ ] Error handling for common status codes
- [ ] Rate limiting considered
- [ ] Test endpoint provided
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