restapi — for Claude Code restapi, community, for Claude Code, ide skills, ## API Implementation (FastAPI), Provides, comprehensive, implementation, capabilities, Golden

v1.0.0

About this Skill

Ideal for AI agents that need provides comprehensive rest api design and implementation capabilities for the golden armada ai. restapi is an AI agent skill for provides comprehensive rest api design and implementation capabilities for the golden armada ai.

Features

Provides comprehensive REST API design and implementation capabilities for the Golden Armada AI
When to Use This Skill
Activate this skill when working with:
API endpoint design
HTTP request/response handling

# Core Topics

markus41 markus41
[9]
[0]
Updated: 3/16/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reviewed Landing Page Review Score: 10/11

Killer-Skills keeps this page indexable because it adds recommendation, limitations, and review signals beyond the upstream repository text.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review Locale and body language aligned
Review Score
10/11
Quality Score
51
Canonical Locale
en
Detected Body Locale
en

Ideal for AI agents that need provides comprehensive rest api design and implementation capabilities for the golden armada ai. restapi is an AI agent skill for provides comprehensive rest api design and implementation capabilities for the golden armada ai.

Core Value

restapi helps agents provides comprehensive rest api design and implementation capabilities for the golden armada ai. REST API Skill Provides comprehensive REST API design and implementation capabilities for the Golden Armada AI Agent Fleet Platform.

Ideal Agent Persona

Ideal for AI agents that need provides comprehensive rest api design and implementation capabilities for the golden armada ai.

Capabilities Granted for restapi

Applying Provides comprehensive REST API design and implementation capabilities for the Golden Armada AI
Applying When to Use This Skill
Applying Activate this skill when working with:

! Prerequisites & Limits

  • from fastapi import FastAPI, HTTPException, Query, Path, Depends, status
  • Requires repository-specific context from the skill documentation
  • Works best when the underlying tools and dependencies are already configured

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

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Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is restapi?

Ideal for AI agents that need provides comprehensive rest api design and implementation capabilities for the golden armada ai. restapi is an AI agent skill for provides comprehensive rest api design and implementation capabilities for the golden armada ai.

How do I install restapi?

Run the command: npx killer-skills add markus41/claude/restapi. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for restapi?

Key use cases include: Applying Provides comprehensive REST API design and implementation capabilities for the Golden Armada AI, Applying When to Use This Skill, Applying Activate this skill when working with:.

Which IDEs are compatible with restapi?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for restapi?

from fastapi import FastAPI, HTTPException, Query, Path, Depends, status. Requires repository-specific context from the skill documentation. Works best when the underlying tools and dependencies are already configured.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add markus41/claude/restapi. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use restapi immediately in the current project.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

restapi

Install restapi, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

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

```

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