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Agent Skill · 研究检索

api-design(API 设计)

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。

api-design 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 51,212。

总安装 588周安装 24GitHub Stars 公开资料未说明下载 188核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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:api-design(API 设计)
来源仓库:https://github.com/duc01226/easyplatform
仓库路径:skills/api-design
安装命令:
npx skills add duc01226/easyplatform --skill "api-design"
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。

AgentSkills.tonpx skills
npx skills add duc01226/easyplatform --skill "api-design"

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

duc01226-easyplatform-api-design 辅助 API 设计、接口文档和字段命名检查。适合梳理 endpoint、生成 OpenAPI 草稿或辅助前后端联调。通过 npx skills add duc01226/easyplatform --skill "api-design" 安装。

使用时需明确鉴权方式、分页规则和错误处理逻辑,避免虚构字段。建议结合现有代码或 schema 提取事实,确保输出准确性。

来源仓库内路径:skills/api-design

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add duc01226/easyplatform --skill "api-design";命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

api-design 怎么安装?

在终端执行 npx skills add duc01226/easyplatform --skill "api-design"。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

api-design 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

api-design 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

api-design 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

api-design 用的人多吗?

公开数据是累计安装 588 次,近一周安装 24 次,下载 188 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

api-design 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
api-design

API 设计 · 本页

588—需要联网MIT未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

[IMPORTANT] Use TaskCreate to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.
Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.
AI Mistake Prevention — Failure modes to avoid on every task: - Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal. - Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing. - Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain. - Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path. - When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site. - Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code. - Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks. - Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis. - Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly. - Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.
Evidence-Based Reasoning — Speculation is FORBIDDEN. Every claim needs proof. 1. Cite file:line, grep results, or framework docs for EVERY claim 2. Declare confidence: >80% act freely, 60-80% verify first, <60% DO NOT recommend 3. Cross-service validation required for architectural changes 4. "I don't have enough evidence" is valid and expected output BLOCKED until: - [] Evidence file path (file:line) - [] Grep search performed - [] 3+ similar patterns found - [] Confidence level stated Forbidden without proof: "obviously", "I think", "should be", "probably", "this is because" If incomplete → output: "Insufficient evidence. Verified: [...]. Not verified: [...]."
  • docs/project-reference/domain-entities-reference.md — Domain entity catalog, relationships, cross-service sync (read when task involves business entities/models) (content auto-injected by hook — check for [Injected:...] header before reading)

Quick Summary

Goal: Design or modify REST API endpoints following the project platform patterns and REST best practices.

MANDATORY IMPORTANT MUST ATTENTION Plan ToDo Task to READ the following project-specific reference docs: - backend-patterns-reference.md — project patterns and structure - docs/project-config.json → api section — API conventions (style: REST/GraphQL, authPattern: jwt/api-key, docsFormat: swagger/openapi) If file not found, search for: project documentation, coding standards, architecture docs.

Workflow:

  1. Design — Define routes using RESTful conventions (plural nouns, proper HTTP methods)
  2. Implement — Create controller + CQRS command/query with validation and authorization
  3. Verify — Run API design checklist (routes, auth, validation, paging, error handling)

Key Rules:

  • Follow project base controller + CQRS pattern from CLAUDE.md (see docs/project-reference/backend-patterns-reference.md)
  • Use proper route naming: /api/{resource} (plural, lowercase, no verbs)
  • Validation in Command/Query Validate(), NOT in controller
  • Always add authorization attributes (see docs/project-reference/backend-patterns-reference.md)
  • MUST ATTENTION READ docs/project-reference/backend-patterns-reference.md before implementation

Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).

REST API Design

Expert API design agent for the project following platform patterns and REST best practices.

Patterns: Follow CLAUDE.md backend patterns for controller, CQRS command/query, validation, and authorization.

MUST ATTENTION READ before implementation:

  • docs/project-reference/backend-patterns-reference.md

Route Naming Conventions

ActionHTTP MethodRoute PatternExample
ListGET/api/{resource}GET /api/employees
Get by IDGET/api/{resource}/{id}GET /api/employees/123
Create/UpdatePOST/api/{resource}POST /api/employees
DeleteDELETE/api/{resource}/{id}DELETE /api/employees/123
Complex SearchPOST/api/{resource}/searchPOST /api/employees/search
Custom ActionPOST/api/{resource}/{id}/{action}POST /api/employees/123/activate
Nested ResourceGET/api/{parent}/{id}/{child}GET /api/departments/1/employees

⚠️ MUST ATTENTION READ: CLAUDE.md for CQRS command/query DTOs, validation patterns, and authorization patterns.

File Upload Endpoints

[HttpPost("upload")]
[RequestSizeLimit(50 * 1024 * 1024)]  // 50MB
public async Task<IActionResult> Upload([FromForm] UploadCommand command)
    => Ok(await Cqrs.SendAsync(command));

public sealed class UploadCommand : CqrsCommand<UploadCommandResult> // project CQRS base (see docs/project-reference/backend-patterns-reference.md)
{
    [FromForm]
    public IFormFile File { get; set; } = null!;

    [FromForm]
    public string? Description { get; set; }
}

Error Response Format

// Framework handles errors automatically with standard format
{
    "type": "validation",
    "title": "Validation Error",
    "status": 400,
    "errors": {
        "email": ["Email is required", "Invalid email format"],
        "firstName": ["FirstName is required"]
    }
}

// Business errors
{
    "type": "business",
    "title": "Business Rule Violation",
    "status": 422,
    "detail": "Employee is already assigned to this department"
}

API Design Checklist

  • RESTful route naming (plural nouns, lowercase)?
  • Appropriate HTTP methods?
  • Proper authorization attributes?
  • Validation in Command/Query Validate()?
  • Consistent response format?
  • Paging for list endpoints?
  • Error handling follows project patterns?

Anti-Patterns

  • Verbs in URLs: Use /employees/123/activate not /activateEmployee
  • Missing Authorization: Always add authorization attributes (see docs/project-reference/backend-patterns-reference.md)
  • Validation in Controller: Move to Command/Query Validate()
  • Business Logic in Controller: Keep controllers thin, logic in handlers
  • Inconsistent Naming: Follow {Resource}Controller pattern

Related

  • arch-cross-service-integration

Closing Reminders

  • MANDATORY IMPORTANT MUST ATTENTION break work into small todo tasks using TaskCreate BEFORE starting
  • MANDATORY IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
  • MANDATORY IMPORTANT MUST ATTENTION cite file:line evidence for every claim (confidence >80% to act)
  • MANDATORY IMPORTANT MUST ATTENTION add a final review todo task to verify work quality MANDATORY IMPORTANT MUST ATTENTION READ the following files before starting:
  • MANDATORY IMPORTANT MUST ATTENTION cite file:line evidence for every claim. Confidence >80% to act, <60% = do NOT recommend.
  • MANDATORY IMPORTANT MUST ATTENTION READ docs/project-reference/backend-patterns-reference.md before starting
  • MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact.
  • MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction.

[TASK-PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub-tasks using TaskCreate.

平台分布

Claude Code

26.29%
按下载量换算49

windsurf

25.44%
按下载量换算48

OpenCode

19.65%
按下载量换算37

Codex

12.43%
按下载量换算23

Antigravity

8.45%
按下载量换算16

Gemini CLI

3.38%
按下载量换算6

安全审计

暂无安全审计结果可展示。

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。目前只有一个公开来源,建议同时核对源仓库。

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