MCPInstall

restapi

REST API design, implementation, and best practices. Activate for API endpoints, HTTP methods, status codes, authentication, and API documentation.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/thelobbi/claude --skill restapi
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads restapi automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

REST API Skill

Provides comprehensive REST API design and implementation capabilities for the Golden Armada AI Agent Fleet Platform.

When to Use This Skill

Activate this skill when working with:

  • API endpoint design
  • HTTP request/response handling
  • API authentication
  • OpenAPI documentation
  • API testing

REST API Design Principles

Resource Naming

```

Good - nouns, plural

GET /agents GET /agents/{id} POST /agents PUT /agents/{id} DELETE /agents/{id}

Nested resources

GET /agents/{id}/tasks POST /agents/{id}/tasks

Bad - verbs, actions

GET /getAgents POST /createAgent ```

HTTP Methods

MethodUsageIdempotent
GETRead resourceYes
POSTCreate resourceNo
PUTReplace resourceYes
PATCHPartial updateNo
DELETEDelete resourceYes

Status Codes

```

Success

200 OK - Successful GET, PUT, PATCH 201 Created - Successful POST 204 No Content - Successful DELETE

Client Errors

400 Bad Request - Validation error 401 Unauthorized - Authentication required 403 Forbidden - Not permitted 404 Not Found - Resource not found 409 Conflict - Duplicate/conflict 422 Unprocessable - Semantic validation error

Server Errors

500 Internal Error - Server error 502 Bad Gateway - Upstream error 503 Service Unavailable - Temporary overload ```

API Implementation (FastAPI)

```python from fastapi import FastAPI, HTTPException, Query, Path, Depends, status from typing import List, Optional from pydantic import BaseModel, Field

app = FastAPI(title="Golden Armada API", version="1.0.0")

Models

class AgentCreate(BaseModel): name: str = Field(..., min_length=1, max_length=100) type: str = Field(..., pattern="^(claude|gpt|gemini)$")

class AgentResponse(BaseModel): id: str name: str type: str status: str created_at: datetime

Endpoints

@app.get("/agents", response_model=List[AgentResponse]) async def list_agents( skip: int = Query(0, ge=0), limit: int = Query(100, ge=1, le=1000), status: Optional[str] = Query(None) ): """List all agents with pagination and filtering.""" return await agent_service.list(skip=skip, limit=limit, status=status)

@app.get("/agents/{agent_id}", response_model=AgentResponse) async def get_agent(agent_id: str = Path(..., description="Agent ID")): """Get a specific agent by ID.""" agent = await agent_service.get(agent_id) if not agent: raise HTTPException(status_code=404, detail="Agent not found") return agent

@app.post("/agents", response_model=AgentResponse, status_code=201) async def create_agent(agent: AgentCreate): """Create a new agent.""" return await agent_service.create(agent)

@app.put("/agents/{agent_id}", response_model=AgentResponse) async def update_agent(agent_id: str, agent: AgentCreate): """Replace an existing agent.""" existing = await agent_service.get(agent_id) if not existing: raise HTTPException(status_code=404, detail="Agent not found") return await agent_service.update(agent_id, agent)

@app.delete("/agents/{agent_id}", status_code=204) async def delete_agent(agent_id: str): """Delete an agent.""" deleted = await agent_service.delete(agent_id) if not deleted: raise HTTPException(status_code=404, detail="Agent not found") ```

Authentication

JWT Authentication

```python from fastapi import Depends, HTTPException, status from fastapi.security import OAuth2PasswordBearer from jose import JWTError, jwt

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")

async def get_current_user(token: str = Depends(oauth2_scheme)): credentials_exception = HTTPException( status_code=status.HTTP_401_UNAUTHORIZED, detail="Could not validate credentials", headers={"WWW-Authenticate": "Bearer"}, ) try: payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM]) user_id: str = payload.get("sub") if user_id is None: raise credentials_exception except JWTError: raise credentials_exception return await get_user(user_id)

Protected endpoint

@app.get("/protected") async def protected_route(user: User = Depends(get_current_user)): return {"user": user.email} ```

API Key Authentication

```python from fastapi.security import APIKeyHeader

api_key_header = APIKeyHeader(name="X-API-Key")

async def verify_api_key(api_key: str = Depends(api_key_header)): if api_key != VALID_API_KEY: raise HTTPException(status_code=403, detail="Invalid API key") return api_key ```

Error Handling

```python class ErrorResponse(BaseModel): error: str message: str details: Optional[dict] = None

@app.exception_handler(ValueError) async def value_error_handler(request, exc): return JSONResponse( status_code=400, content=ErrorResponse( error="validation_error", message=str(exc) ).dict() )

@app.exception_handler(Exception) async def general_exception_handler(request, exc): return JSONResponse( status_code=500, content=ErrorResponse( error="internal_error", message="An unexpected error occurred" ).dict() ) ```

API Testing with curl

```bash

GET

curl -X GET "http://localhost:8000/agents"
-H "Authorization: Bearer TOKEN"

POST

curl -X POST "http://localhost:8000/agents"
-H "Content-Type: application/json"
-H "Authorization: Bearer TOKEN"
-d '{"name": "agent-1", "type": "claude"}'

PUT

curl -X PUT "http://localhost:8000/agents/123"
-H "Content-Type: application/json"
-d '{"name": "updated-agent", "type": "claude"}'

DELETE

curl -X DELETE "http://localhost:8000/agents/123"
-H "Authorization: Bearer TOKEN" ```

OpenAPI Documentation

```python from fastapi import FastAPI

app = FastAPI( title="Golden Armada API", description="AI Agent Fleet Platform API", version="1.0.0", docs_url="/docs", redoc_url="/redoc", openapi_url="/openapi.json" )

Access documentation at:

- Swagger UI: http://localhost:8000/docs

- ReDoc: http://localhost:8000/redoc

- OpenAPI JSON: http://localhost:8000/openapi.json

```

FAQ

What does the restapi skill do?

REST API design, implementation, and best practices. Activate for API endpoints, HTTP methods, status codes, authentication, and API documentation.

How do I install restapi?

Run npx skills add https://github.com/thelobbi/claude --skill restapi in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/restapi/ (personal) or .claude/skills/restapi/ (project).

Which AI agents can use restapi?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is restapi safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains restapi?

It is published by thelobbi in thelobbi/claude. It has 57 recorded installs.

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