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tech-api-integrationtech API 集成

Agent Skill

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

总安装

396

周安装

16

GitHub Stars

125

下载量

124
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:tech-api-integration(tech API 集成)
来源仓库:https://github.com/asgard-ai-platform/skills
仓库路径:skills/tech-api-integration
安装命令:
npx skills add https://github.com/asgard-ai-platform/skills --skill tech-api-integration
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/asgard-ai-platform/skills --skill tech-api-integration

简介

用于辅助 API 设计、接口文档和请求响应结构梳理。

  • 适合生成 OpenAPI 草稿、检查字段命名或整理错误码。
  • 使用时需确认业务语义、鉴权方式和分页规则,避免凭空补字段。
  • 建议从现有代码或接口样例中提取事实作为依据。
  • 涉及生产环境时应先验证权限与操作边界。tech-api-integration 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

REST API Integration Guide

Framework

IRON LAW: Read the Docs, Then Build, Then Handle Errors

1. Read the API documentation completely (auth, endpoints, rate limits, errors)
2. Get a successful request working in isolation (curl/Postman)
3. Build error handling BEFORE building features

Skipping step 1 wastes hours on trial-and-error. Skipping step 3
creates fragile integrations that break silently in production.

HTTP Methods

MethodPurposeIdempotent?Example
GETRead dataYesGET /users/123
POSTCreate new resourceNoPOST /users + body
PUTReplace entire resourceYesPUT /users/123 + full body
PATCHUpdate partial resourceYesPATCH /users/123 + partial body
DELETERemove resourceYesDELETE /users/123

Status Codes

RangeMeaningCommon Codes
2xxSuccess200 OK, 201 Created, 204 No Content
3xxRedirect301 Moved, 304 Not Modified
4xxClient error (your fault)400 Bad Request, 401 Unauthorized, 403 Forbidden, 404 Not Found, 429 Too Many Requests
5xxServer error (their fault)500 Internal, 502 Bad Gateway, 503 Service Unavailable

Authentication Types

TypeHow It WorksWhen Used
API KeyKey in header or query paramSimple APIs, server-to-server
Bearer TokenAuthorization: Bearer <token>OAuth 2.0, JWT-based APIs
OAuth 2.0Token exchange flow (authorize → token → API call)User-delegated access (Google, FB)
Basic AuthBase64(username:password) in headerLegacy, internal APIs
HMAC SignatureSign request with secret keyPayment gateways, high-security

Error Handling Strategy

try:
    response = api.call(request)
    if response.status == 429:  # Rate limited
        wait(response.headers['Retry-After'])
        retry()
    elif response.status >= 500:  # Server error
        retry_with_backoff(max_retries=3)
    elif response.status >= 400:  # Client error
        log_error(response.body)
        raise ClientError(response.body['message'])
    else:
        return response.json()

Rate Limiting

StrategyHow
Respect Retry-After headerWait the specified seconds before retrying
Exponential backoffWait 1s, 2s, 4s, 8s between retries
Token bucketTrack request count, pause when approaching limit
Queue requestsUse a job queue (Celery, Bull) for high-volume integrations

Integration Checklist

  1. Read API documentation completely
  2. Test auth flow (get valid token/key)
  3. Test each endpoint with curl/Postman first
  4. Implement error handling for all status code ranges
  5. Implement rate limit handling
  6. Implement retry logic with backoff
  7. Log all requests and responses (redact secrets)
  8. Handle API versioning (pin to specific version)
  9. Set timeouts (connect: 5s, read: 30s)
  10. Monitor for API deprecation notices

Output Format

# API Integration Plan: {API Name}

## API Overview
- Base URL: {url}
- Auth: {type}
- Rate limit: {N requests/period}
- Documentation: {link}

## Endpoints Used
| Endpoint | Method | Purpose | Auth |
|----------|--------|---------|------|
| {path} | GET/POST | {what it does} | {auth type} |

## Error Handling
| Error | Response | Our Action |
|-------|----------|-----------|
| 401 | Unauthorized | Refresh token, retry |
| 429 | Rate limited | Backoff, retry after Retry-After |
| 500 | Server error | Retry 3x with exponential backoff |

## Implementation Timeline
| Phase | Task | Duration |
|-------|------|----------|
| 1 | Auth + basic call | {days} |
| 2 | Full integration | {days} |
| 3 | Error handling + monitoring | {days} |

Gotchas

  • Sandbox vs production: Most APIs have a sandbox/test environment. Build and test there first. Production API keys should never be in code.
  • Pagination: APIs return paginated results. Handle all pages, not just the first. Check for next_page token or offset parameter.
  • Webhook reliability: If using webhooks, implement idempotent handlers (same event received twice should not duplicate data). Store event IDs to deduplicate.
  • API changes break things: Pin to a specific API version. Subscribe to the provider's changelog/deprecation notices.
  • Secrets management: API keys and tokens NEVER in source code. Use environment variables or a secrets manager (AWS Secrets Manager, HashiCorp Vault).

References

  • For OAuth 2.0 flow details, see references/oauth-guide.md
  • For webhook implementation patterns, see references/webhook-patterns.md

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.16%
按下载量换算46

Claude

30.38%
按下载量换算38

Cursor

18.81%
按下载量换算23

Gemini CLI

9.78%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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