Creator · Jeffallan
Last updated · Sep 2, 2026
Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate
Creator · Jeffallan
Last updated · Sep 2, 2026
Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate
Creator · Jeffallan
Last updated · Sep 2, 2026
Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate
Creator · Jeffallan
Last updated · Sep 2, 2026
Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate
Sandbox only
Install targets
Codex install prompt
Install the "fastapi-expert" agent skill from https://github.com/Jeffallan/claude-skills/tree/main/skills/fastapi-expert. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate OpenAPI documentation. Trigger terms: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"jeffallan-fastapi-expert","task":"Install fastapi-expert","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Database and SQL
I need my agent to inspect database schemas, write SQL, and explain query results.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Jeffallan/claude-skills --skill fastapi-expert
Maintenance
fresh
28d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
11K
88/100 Quality · 78/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
11K GitHub stars
Repo activity
11K stars, 1.1K forks
Maintenance
28d since push
License
MIT
Install
npx skills add Jeffallan/claude-skills --skill fastapi-expert
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Jeffallan/claude-skills --skill fastapi-expertDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20fastapi-expert%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20fastapi-expert%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/jeffallan-fastapi-expert/install
Agent should check
Copy prompt
Task: Use fastapi-expert in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20fastapi-expert%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jeffallan-fastapi-expert/install
Install command: npx skills add Jeffallan/claude-skills --skill fastapi-expert
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/jeffallan-fastapi-expert/install
LLM text format
/api/skills/jeffallan-fastapi-expert/install?format=text
Find alternatives
/api/skills/search?q=fastapi-expert&limit=3
Agent prompt
Use fastapi-expert for this task. Review https://www.openagentskill.com/api/skills/jeffallan-fastapi-expert/install, then install with: npx skills add Jeffallan/claude-skills --skill fastapi-expertRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/jeffallan-fastapi-expert
LLM text
/api/registry/manifest/jeffallan-fastapi-expert?format=text
Install alias
/api/registry/install/jeffallan-fastapi-expert
Recommend
/api/registry/recommend?task=Use%20fastapi-expert%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Workflow automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS11K GitHub stars
Stars/forks activity
PASS11K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS28d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Work with data stores
I need my agent to inspect database schemas, write SQL, and explain query results.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: fastapi-expert description: "Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate OpenAPI documentation. Trigger terms: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python." license: MIT metadata: author: https://github.com/Jeffallan version: "1.1.0" domain: backend triggers: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python role: specialist scope: implementation output-format: code related-skills: fullstack-guardian, django-expert, test-master ---
# FastAPI Expert
Deep expertise in async Python, Pydantic V2, and production-grade API development with FastAPI.
## When to Use This Skill
- Building REST APIs with FastAPI - Implementing Pydantic V2 validation schemas - Setting up async database operations - Implementing JWT authentication/authorization - Creating WebSocket endpoints - Optimizing API performance
## Core Workflow
1. **Analyze requirements** — Identify endpoints, data models, auth needs 2. **Design schemas** — Create Pydantic V2 models for validation 3. **Implement** — Write async endpoints with proper dependency injection 4. **Secure** — Add authentication, authorization, rate limiting 5. **Test** — Write async tests with pytest and httpx; run `pytest` after each endpoint group and verify OpenAPI docs at `/docs`
> **Checkpoint after each step:** confirm schemas validate correctly, endpoints return expected HTTP status codes, and `/docs` reflects the intended API surface before proceeding.
## Minimal Complete Example
Schema + endpoint + dependency injection in one cohesive unit:
```python # schemas.py from pydantic import BaseModel, EmailStr, field_validator, model_config
class UserCreate(BaseModel): model_config = model_config(str_strip_whitespace=True)
email: EmailStr password: str name: str | None = None
@field_validator("password") @classmethod def password_strength(cls, v: str) -> str: if len(v) < 8: raise ValueError("Password must be at least 8 characters") return v
class UserResponse(BaseModel): model_config = model_config(from_attributes=True)
id: int email: EmailStr name: str | None = None ```
```python # routers/users.py from fastapi import APIRouter, Depends, HTTPException, status from sqlalchemy.ext.asyncio import AsyncSession from typing import Annotated
from app.database import get_db from app.schemas import UserCreate, UserResponse from app import crud
router = APIRouter(prefix="/users", tags=["users"])
DbDep = Annotated[AsyncSession, Depends(get_db)]
@router.post("/", response_model=UserResponse, status_code=status.HTTP_201_CREATED) async def create_user(payload: UserCreate, db: DbDep) -> UserResponse: existing = await crud.get_user_by_email(db, payload.email) if existing: raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="Email already registered") return await crud.create_user(db, payload) ```
```python # crud.py from sqlalchemy import select from sqlalchemy.ext.asyncio import AsyncSession from app.models import User from app.schemas import UserCreate from app.security import hash_password
async def get_user_by_email(db: AsyncSession, email: str) -> User | None: result = await db.execute(select(User).where(User.email == email)) return result.scalar_one_or_none()
async def create_user(db: AsyncSession, payload: UserCreate) -> User: user = User(email=payload.email, hashed_password=hash_password(payload.password), name=payload.name) db.add(user) await db.commit() await db.refresh(user) return user ```
## JWT Authentication Snippet
```python # security.py from datetime import datetime, timedelta, timezone from jose import JWTError, jwt from fastapi import Depends, HTTPException, status from fastapi.security import OAuth2PasswordBearer from typing import Annotated
SECRET_KEY = "read-from-env" # use os.environ / settings ALGORITHM = "HS256" oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/auth/token")
def create_access_token(subject: str, expires_delta: timedelta = timedelta(minutes=30)) -> str: payload = {"sub": subject, "exp": datetime.now(timezone.utc) + expires_delta} return jwt.encode(payload, SECRET_KEY, algorithm=ALGORITHM)
async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]) -> str: try: data = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM]) subject: str | None = data.get("sub") if subject is None: raise ValueError return subject except (JWTError, ValueError): raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="Invalid credentials")
CurrentUser = Annotated[str, Depends(get_current_user)] ```
## Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When | |-------|-----------|-----------| | Pydantic V2 | `references/pydantic-v2.md` | Creating schemas, validation, model_config | | SQLAlchemy | `references/async-sqlalchemy.md` | Async database, models, CRUD operations | | Endpoints | `references/endpoints-routing.md` | APIRouter, dependencies, routing | | Authentication | `references/authentication.md` | JWT, OAuth2, get_current_user | | Testing | `references/testing-async.md` | pytest-asyncio, httpx, fixtures | | Django Migration | `references/migration-from-django.md` | Migrating from Django/DRF to FastAPI |
## Constraints
### MUST DO - Use type hints everywhere (FastAPI requires them) - Use Pydantic V2 syntax (`field_validator`, `model_validator`, `model_config`) - Use `Annotated` pattern for dependency injection - Use async/await for all I/O operations - Use `X | None` instead of `Optional[X]` - Return proper HTTP status codes - Document endpoints (auto-generated OpenAPI)
### MUST NOT DO - Use synchronous database operations - Skip Pydantic validation - Store passwords in plain text - Expose sensitive data in responses - Use Pydantic V1 syntax (`@validator`, `class Config`) - Mix sync and async code improperly - Hardcode configuration values
## Output Templates
When implementing FastAPI features, provide: 1. Schema file (Pydantic models) 2. Endpoint file (router with endpoints) 3. CRUD operations if database involved 4. Brief explanation of key decisions
## Knowledge Reference
FastAPI, Pydantic V2, async SQLAlchemy, Alembic migrations, JWT/OAuth2, pytest-asyncio, httpx, BackgroundTasks, WebSockets, dependency injection, OpenAPI/Swagger
[Documentation](https://jeffallan.github.io/claude-skills/skills/backend/fastapi-expert/)
Source provenance
Decision snapshot
11,293 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for fastapi-expert, ready for a manual X post.
A practical pick for design or creative work: fastapi-expert: Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define... 11.3K stars https://www.openagentskill.com/skills/jeffallan-fastapi-expert?ref=x
Listing + install path for fastapi-expert: https://www.openagentskill.com/skills/jeffallan-fastapi-expert?ref=x Install: npx skills add Jeffallan/claude-skills --skill fastapi-expert
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to Jeffallan but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/jeffallan-fastapi-expert?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/jeffallan-fastapi-expert?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/jeffallan-fastapi-expert/audit)
[](https://www.openagentskill.com/skills/jeffallan-fastapi-expert?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Jeffallan
@jeffallan
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsSandbox only
Install targets
Codex install prompt
Install the "fastapi-expert" agent skill from https://github.com/Jeffallan/claude-skills/tree/main/skills/fastapi-expert. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate OpenAPI documentation. Trigger terms: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"jeffallan-fastapi-expert","task":"Install fastapi-expert","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Database and SQL
I need my agent to inspect database schemas, write SQL, and explain query results.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Jeffallan/claude-skills --skill fastapi-expert
Maintenance
fresh
28d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
11K
88/100 Quality · 78/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
11K GitHub stars
Repo activity
11K stars, 1.1K forks
Maintenance
28d since push
License
MIT
Install
npx skills add Jeffallan/claude-skills --skill fastapi-expert
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Jeffallan/claude-skills --skill fastapi-expertDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20fastapi-expert%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20fastapi-expert%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/jeffallan-fastapi-expert/install
Agent should check
Copy prompt
Task: Use fastapi-expert in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20fastapi-expert%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jeffallan-fastapi-expert/install
Install command: npx skills add Jeffallan/claude-skills --skill fastapi-expert
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/jeffallan-fastapi-expert/install
LLM text format
/api/skills/jeffallan-fastapi-expert/install?format=text
Find alternatives
/api/skills/search?q=fastapi-expert&limit=3
Agent prompt
Use fastapi-expert for this task. Review https://www.openagentskill.com/api/skills/jeffallan-fastapi-expert/install, then install with: npx skills add Jeffallan/claude-skills --skill fastapi-expertRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/jeffallan-fastapi-expert
LLM text
/api/registry/manifest/jeffallan-fastapi-expert?format=text
Install alias
/api/registry/install/jeffallan-fastapi-expert
Recommend
/api/registry/recommend?task=Use%20fastapi-expert%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Workflow automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS11K GitHub stars
Stars/forks activity
PASS11K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS28d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Work with data stores
I need my agent to inspect database schemas, write SQL, and explain query results.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: fastapi-expert description: "Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate OpenAPI documentation. Trigger terms: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python." license: MIT metadata: author: https://github.com/Jeffallan version: "1.1.0" domain: backend triggers: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python role: specialist scope: implementation output-format: code related-skills: fullstack-guardian, django-expert, test-master ---
# FastAPI Expert
Deep expertise in async Python, Pydantic V2, and production-grade API development with FastAPI.
## When to Use This Skill
- Building REST APIs with FastAPI - Implementing Pydantic V2 validation schemas - Setting up async database operations - Implementing JWT authentication/authorization - Creating WebSocket endpoints - Optimizing API performance
## Core Workflow
1. **Analyze requirements** — Identify endpoints, data models, auth needs 2. **Design schemas** — Create Pydantic V2 models for validation 3. **Implement** — Write async endpoints with proper dependency injection 4. **Secure** — Add authentication, authorization, rate limiting 5. **Test** — Write async tests with pytest and httpx; run `pytest` after each endpoint group and verify OpenAPI docs at `/docs`
> **Checkpoint after each step:** confirm schemas validate correctly, endpoints return expected HTTP status codes, and `/docs` reflects the intended API surface before proceeding.
## Minimal Complete Example
Schema + endpoint + dependency injection in one cohesive unit:
```python # schemas.py from pydantic import BaseModel, EmailStr, field_validator, model_config
class UserCreate(BaseModel): model_config = model_config(str_strip_whitespace=True)
email: EmailStr password: str name: str | None = None
@field_validator("password") @classmethod def password_strength(cls, v: str) -> str: if len(v) < 8: raise ValueError("Password must be at least 8 characters") return v
class UserResponse(BaseModel): model_config = model_config(from_attributes=True)
id: int email: EmailStr name: str | None = None ```
```python # routers/users.py from fastapi import APIRouter, Depends, HTTPException, status from sqlalchemy.ext.asyncio import AsyncSession from typing import Annotated
from app.database import get_db from app.schemas import UserCreate, UserResponse from app import crud
router = APIRouter(prefix="/users", tags=["users"])
DbDep = Annotated[AsyncSession, Depends(get_db)]
@router.post("/", response_model=UserResponse, status_code=status.HTTP_201_CREATED) async def create_user(payload: UserCreate, db: DbDep) -> UserResponse: existing = await crud.get_user_by_email(db, payload.email) if existing: raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="Email already registered") return await crud.create_user(db, payload) ```
```python # crud.py from sqlalchemy import select from sqlalchemy.ext.asyncio import AsyncSession from app.models import User from app.schemas import UserCreate from app.security import hash_password
async def get_user_by_email(db: AsyncSession, email: str) -> User | None: result = await db.execute(select(User).where(User.email == email)) return result.scalar_one_or_none()
async def create_user(db: AsyncSession, payload: UserCreate) -> User: user = User(email=payload.email, hashed_password=hash_password(payload.password), name=payload.name) db.add(user) await db.commit() await db.refresh(user) return user ```
## JWT Authentication Snippet
```python # security.py from datetime import datetime, timedelta, timezone from jose import JWTError, jwt from fastapi import Depends, HTTPException, status from fastapi.security import OAuth2PasswordBearer from typing import Annotated
SECRET_KEY = "read-from-env" # use os.environ / settings ALGORITHM = "HS256" oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/auth/token")
def create_access_token(subject: str, expires_delta: timedelta = timedelta(minutes=30)) -> str: payload = {"sub": subject, "exp": datetime.now(timezone.utc) + expires_delta} return jwt.encode(payload, SECRET_KEY, algorithm=ALGORITHM)
async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]) -> str: try: data = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM]) subject: str | None = data.get("sub") if subject is None: raise ValueError return subject except (JWTError, ValueError): raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="Invalid credentials")
CurrentUser = Annotated[str, Depends(get_current_user)] ```
## Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When | |-------|-----------|-----------| | Pydantic V2 | `references/pydantic-v2.md` | Creating schemas, validation, model_config | | SQLAlchemy | `references/async-sqlalchemy.md` | Async database, models, CRUD operations | | Endpoints | `references/endpoints-routing.md` | APIRouter, dependencies, routing | | Authentication | `references/authentication.md` | JWT, OAuth2, get_current_user | | Testing | `references/testing-async.md` | pytest-asyncio, httpx, fixtures | | Django Migration | `references/migration-from-django.md` | Migrating from Django/DRF to FastAPI |
## Constraints
### MUST DO - Use type hints everywhere (FastAPI requires them) - Use Pydantic V2 syntax (`field_validator`, `model_validator`, `model_config`) - Use `Annotated` pattern for dependency injection - Use async/await for all I/O operations - Use `X | None` instead of `Optional[X]` - Return proper HTTP status codes - Document endpoints (auto-generated OpenAPI)
### MUST NOT DO - Use synchronous database operations - Skip Pydantic validation - Store passwords in plain text - Expose sensitive data in responses - Use Pydantic V1 syntax (`@validator`, `class Config`) - Mix sync and async code improperly - Hardcode configuration values
## Output Templates
When implementing FastAPI features, provide: 1. Schema file (Pydantic models) 2. Endpoint file (router with endpoints) 3. CRUD operations if database involved 4. Brief explanation of key decisions
## Knowledge Reference
FastAPI, Pydantic V2, async SQLAlchemy, Alembic migrations, JWT/OAuth2, pytest-asyncio, httpx, BackgroundTasks, WebSockets, dependency injection, OpenAPI/Swagger
[Documentation](https://jeffallan.github.io/claude-skills/skills/backend/fastapi-expert/)
Source provenance
Decision snapshot
11,293 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for fastapi-expert, ready for a manual X post.
A practical pick for design or creative work: fastapi-expert: Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define... 11.3K stars https://www.openagentskill.com/skills/jeffallan-fastapi-expert?ref=x
Listing + install path for fastapi-expert: https://www.openagentskill.com/skills/jeffallan-fastapi-expert?ref=x Install: npx skills add Jeffallan/claude-skills --skill fastapi-expert
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to Jeffallan but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/jeffallan-fastapi-expert?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/jeffallan-fastapi-expert?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/jeffallan-fastapi-expert/audit)
[](https://www.openagentskill.com/skills/jeffallan-fastapi-expert?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Jeffallan
@jeffallan
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsSandbox only
Install targets
Codex install prompt
Install the "fastapi-expert" agent skill from https://github.com/Jeffallan/claude-skills/tree/main/skills/fastapi-expert. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate OpenAPI documentation. Trigger terms: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"jeffallan-fastapi-expert","task":"Install fastapi-expert","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Database and SQL
I need my agent to inspect database schemas, write SQL, and explain query results.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Jeffallan/claude-skills --skill fastapi-expert
Maintenance
fresh
28d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
11K
88/100 Quality · 78/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
11K GitHub stars
Repo activity
11K stars, 1.1K forks
Maintenance
28d since push
License
MIT
Install
npx skills add Jeffallan/claude-skills --skill fastapi-expert
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Jeffallan/claude-skills --skill fastapi-expertDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20fastapi-expert%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20fastapi-expert%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/jeffallan-fastapi-expert/install
Agent should check
Copy prompt
Task: Use fastapi-expert in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20fastapi-expert%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jeffallan-fastapi-expert/install
Install command: npx skills add Jeffallan/claude-skills --skill fastapi-expert
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/jeffallan-fastapi-expert/install
LLM text format
/api/skills/jeffallan-fastapi-expert/install?format=text
Find alternatives
/api/skills/search?q=fastapi-expert&limit=3
Agent prompt
Use fastapi-expert for this task. Review https://www.openagentskill.com/api/skills/jeffallan-fastapi-expert/install, then install with: npx skills add Jeffallan/claude-skills --skill fastapi-expertRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/jeffallan-fastapi-expert
LLM text
/api/registry/manifest/jeffallan-fastapi-expert?format=text
Install alias
/api/registry/install/jeffallan-fastapi-expert
Recommend
/api/registry/recommend?task=Use%20fastapi-expert%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Workflow automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS11K GitHub stars
Stars/forks activity
PASS11K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS28d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Work with data stores
I need my agent to inspect database schemas, write SQL, and explain query results.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: fastapi-expert description: "Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate OpenAPI documentation. Trigger terms: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python." license: MIT metadata: author: https://github.com/Jeffallan version: "1.1.0" domain: backend triggers: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python role: specialist scope: implementation output-format: code related-skills: fullstack-guardian, django-expert, test-master ---
# FastAPI Expert
Deep expertise in async Python, Pydantic V2, and production-grade API development with FastAPI.
## When to Use This Skill
- Building REST APIs with FastAPI - Implementing Pydantic V2 validation schemas - Setting up async database operations - Implementing JWT authentication/authorization - Creating WebSocket endpoints - Optimizing API performance
## Core Workflow
1. **Analyze requirements** — Identify endpoints, data models, auth needs 2. **Design schemas** — Create Pydantic V2 models for validation 3. **Implement** — Write async endpoints with proper dependency injection 4. **Secure** — Add authentication, authorization, rate limiting 5. **Test** — Write async tests with pytest and httpx; run `pytest` after each endpoint group and verify OpenAPI docs at `/docs`
> **Checkpoint after each step:** confirm schemas validate correctly, endpoints return expected HTTP status codes, and `/docs` reflects the intended API surface before proceeding.
## Minimal Complete Example
Schema + endpoint + dependency injection in one cohesive unit:
```python # schemas.py from pydantic import BaseModel, EmailStr, field_validator, model_config
class UserCreate(BaseModel): model_config = model_config(str_strip_whitespace=True)
email: EmailStr password: str name: str | None = None
@field_validator("password") @classmethod def password_strength(cls, v: str) -> str: if len(v) < 8: raise ValueError("Password must be at least 8 characters") return v
class UserResponse(BaseModel): model_config = model_config(from_attributes=True)
id: int email: EmailStr name: str | None = None ```
```python # routers/users.py from fastapi import APIRouter, Depends, HTTPException, status from sqlalchemy.ext.asyncio import AsyncSession from typing import Annotated
from app.database import get_db from app.schemas import UserCreate, UserResponse from app import crud
router = APIRouter(prefix="/users", tags=["users"])
DbDep = Annotated[AsyncSession, Depends(get_db)]
@router.post("/", response_model=UserResponse, status_code=status.HTTP_201_CREATED) async def create_user(payload: UserCreate, db: DbDep) -> UserResponse: existing = await crud.get_user_by_email(db, payload.email) if existing: raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="Email already registered") return await crud.create_user(db, payload) ```
```python # crud.py from sqlalchemy import select from sqlalchemy.ext.asyncio import AsyncSession from app.models import User from app.schemas import UserCreate from app.security import hash_password
async def get_user_by_email(db: AsyncSession, email: str) -> User | None: result = await db.execute(select(User).where(User.email == email)) return result.scalar_one_or_none()
async def create_user(db: AsyncSession, payload: UserCreate) -> User: user = User(email=payload.email, hashed_password=hash_password(payload.password), name=payload.name) db.add(user) await db.commit() await db.refresh(user) return user ```
## JWT Authentication Snippet
```python # security.py from datetime import datetime, timedelta, timezone from jose import JWTError, jwt from fastapi import Depends, HTTPException, status from fastapi.security import OAuth2PasswordBearer from typing import Annotated
SECRET_KEY = "read-from-env" # use os.environ / settings ALGORITHM = "HS256" oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/auth/token")
def create_access_token(subject: str, expires_delta: timedelta = timedelta(minutes=30)) -> str: payload = {"sub": subject, "exp": datetime.now(timezone.utc) + expires_delta} return jwt.encode(payload, SECRET_KEY, algorithm=ALGORITHM)
async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]) -> str: try: data = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM]) subject: str | None = data.get("sub") if subject is None: raise ValueError return subject except (JWTError, ValueError): raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="Invalid credentials")
CurrentUser = Annotated[str, Depends(get_current_user)] ```
## Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When | |-------|-----------|-----------| | Pydantic V2 | `references/pydantic-v2.md` | Creating schemas, validation, model_config | | SQLAlchemy | `references/async-sqlalchemy.md` | Async database, models, CRUD operations | | Endpoints | `references/endpoints-routing.md` | APIRouter, dependencies, routing | | Authentication | `references/authentication.md` | JWT, OAuth2, get_current_user | | Testing | `references/testing-async.md` | pytest-asyncio, httpx, fixtures | | Django Migration | `references/migration-from-django.md` | Migrating from Django/DRF to FastAPI |
## Constraints
### MUST DO - Use type hints everywhere (FastAPI requires them) - Use Pydantic V2 syntax (`field_validator`, `model_validator`, `model_config`) - Use `Annotated` pattern for dependency injection - Use async/await for all I/O operations - Use `X | None` instead of `Optional[X]` - Return proper HTTP status codes - Document endpoints (auto-generated OpenAPI)
### MUST NOT DO - Use synchronous database operations - Skip Pydantic validation - Store passwords in plain text - Expose sensitive data in responses - Use Pydantic V1 syntax (`@validator`, `class Config`) - Mix sync and async code improperly - Hardcode configuration values
## Output Templates
When implementing FastAPI features, provide: 1. Schema file (Pydantic models) 2. Endpoint file (router with endpoints) 3. CRUD operations if database involved 4. Brief explanation of key decisions
## Knowledge Reference
FastAPI, Pydantic V2, async SQLAlchemy, Alembic migrations, JWT/OAuth2, pytest-asyncio, httpx, BackgroundTasks, WebSockets, dependency injection, OpenAPI/Swagger
[Documentation](https://jeffallan.github.io/claude-skills/skills/backend/fastapi-expert/)
Source provenance
Decision snapshot
11,293 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for fastapi-expert, ready for a manual X post.
A practical pick for design or creative work: fastapi-expert: Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define... 11.3K stars https://www.openagentskill.com/skills/jeffallan-fastapi-expert?ref=x
Listing + install path for fastapi-expert: https://www.openagentskill.com/skills/jeffallan-fastapi-expert?ref=x Install: npx skills add Jeffallan/claude-skills --skill fastapi-expert
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to Jeffallan but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/jeffallan-fastapi-expert?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/jeffallan-fastapi-expert?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/jeffallan-fastapi-expert/audit)
[](https://www.openagentskill.com/skills/jeffallan-fastapi-expert?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Jeffallan
@jeffallan
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsSandbox only
Install targets
Codex install prompt
Install the "fastapi-expert" agent skill from https://github.com/Jeffallan/claude-skills/tree/main/skills/fastapi-expert. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate OpenAPI documentation. Trigger terms: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"jeffallan-fastapi-expert","task":"Install fastapi-expert","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Database and SQL
I need my agent to inspect database schemas, write SQL, and explain query results.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Jeffallan/claude-skills --skill fastapi-expert
Maintenance
fresh
28d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
11K
88/100 Quality · 78/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
11K GitHub stars
Repo activity
11K stars, 1.1K forks
Maintenance
28d since push
License
MIT
Install
npx skills add Jeffallan/claude-skills --skill fastapi-expert
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Jeffallan/claude-skills --skill fastapi-expertDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20fastapi-expert%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20fastapi-expert%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/jeffallan-fastapi-expert/install
Agent should check
Copy prompt
Task: Use fastapi-expert in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20fastapi-expert%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jeffallan-fastapi-expert/install
Install command: npx skills add Jeffallan/claude-skills --skill fastapi-expert
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/jeffallan-fastapi-expert/install
LLM text format
/api/skills/jeffallan-fastapi-expert/install?format=text
Find alternatives
/api/skills/search?q=fastapi-expert&limit=3
Agent prompt
Use fastapi-expert for this task. Review https://www.openagentskill.com/api/skills/jeffallan-fastapi-expert/install, then install with: npx skills add Jeffallan/claude-skills --skill fastapi-expertRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/jeffallan-fastapi-expert
LLM text
/api/registry/manifest/jeffallan-fastapi-expert?format=text
Install alias
/api/registry/install/jeffallan-fastapi-expert
Recommend
/api/registry/recommend?task=Use%20fastapi-expert%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Workflow automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS11K GitHub stars
Stars/forks activity
PASS11K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS28d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Work with data stores
I need my agent to inspect database schemas, write SQL, and explain query results.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: fastapi-expert description: "Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate OpenAPI documentation. Trigger terms: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python." license: MIT metadata: author: https://github.com/Jeffallan version: "1.1.0" domain: backend triggers: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python role: specialist scope: implementation output-format: code related-skills: fullstack-guardian, django-expert, test-master ---
# FastAPI Expert
Deep expertise in async Python, Pydantic V2, and production-grade API development with FastAPI.
## When to Use This Skill
- Building REST APIs with FastAPI - Implementing Pydantic V2 validation schemas - Setting up async database operations - Implementing JWT authentication/authorization - Creating WebSocket endpoints - Optimizing API performance
## Core Workflow
1. **Analyze requirements** — Identify endpoints, data models, auth needs 2. **Design schemas** — Create Pydantic V2 models for validation 3. **Implement** — Write async endpoints with proper dependency injection 4. **Secure** — Add authentication, authorization, rate limiting 5. **Test** — Write async tests with pytest and httpx; run `pytest` after each endpoint group and verify OpenAPI docs at `/docs`
> **Checkpoint after each step:** confirm schemas validate correctly, endpoints return expected HTTP status codes, and `/docs` reflects the intended API surface before proceeding.
## Minimal Complete Example
Schema + endpoint + dependency injection in one cohesive unit:
```python # schemas.py from pydantic import BaseModel, EmailStr, field_validator, model_config
class UserCreate(BaseModel): model_config = model_config(str_strip_whitespace=True)
email: EmailStr password: str name: str | None = None
@field_validator("password") @classmethod def password_strength(cls, v: str) -> str: if len(v) < 8: raise ValueError("Password must be at least 8 characters") return v
class UserResponse(BaseModel): model_config = model_config(from_attributes=True)
id: int email: EmailStr name: str | None = None ```
```python # routers/users.py from fastapi import APIRouter, Depends, HTTPException, status from sqlalchemy.ext.asyncio import AsyncSession from typing import Annotated
from app.database import get_db from app.schemas import UserCreate, UserResponse from app import crud
router = APIRouter(prefix="/users", tags=["users"])
DbDep = Annotated[AsyncSession, Depends(get_db)]
@router.post("/", response_model=UserResponse, status_code=status.HTTP_201_CREATED) async def create_user(payload: UserCreate, db: DbDep) -> UserResponse: existing = await crud.get_user_by_email(db, payload.email) if existing: raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="Email already registered") return await crud.create_user(db, payload) ```
```python # crud.py from sqlalchemy import select from sqlalchemy.ext.asyncio import AsyncSession from app.models import User from app.schemas import UserCreate from app.security import hash_password
async def get_user_by_email(db: AsyncSession, email: str) -> User | None: result = await db.execute(select(User).where(User.email == email)) return result.scalar_one_or_none()
async def create_user(db: AsyncSession, payload: UserCreate) -> User: user = User(email=payload.email, hashed_password=hash_password(payload.password), name=payload.name) db.add(user) await db.commit() await db.refresh(user) return user ```
## JWT Authentication Snippet
```python # security.py from datetime import datetime, timedelta, timezone from jose import JWTError, jwt from fastapi import Depends, HTTPException, status from fastapi.security import OAuth2PasswordBearer from typing import Annotated
SECRET_KEY = "read-from-env" # use os.environ / settings ALGORITHM = "HS256" oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/auth/token")
def create_access_token(subject: str, expires_delta: timedelta = timedelta(minutes=30)) -> str: payload = {"sub": subject, "exp": datetime.now(timezone.utc) + expires_delta} return jwt.encode(payload, SECRET_KEY, algorithm=ALGORITHM)
async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]) -> str: try: data = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM]) subject: str | None = data.get("sub") if subject is None: raise ValueError return subject except (JWTError, ValueError): raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="Invalid credentials")
CurrentUser = Annotated[str, Depends(get_current_user)] ```
## Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When | |-------|-----------|-----------| | Pydantic V2 | `references/pydantic-v2.md` | Creating schemas, validation, model_config | | SQLAlchemy | `references/async-sqlalchemy.md` | Async database, models, CRUD operations | | Endpoints | `references/endpoints-routing.md` | APIRouter, dependencies, routing | | Authentication | `references/authentication.md` | JWT, OAuth2, get_current_user | | Testing | `references/testing-async.md` | pytest-asyncio, httpx, fixtures | | Django Migration | `references/migration-from-django.md` | Migrating from Django/DRF to FastAPI |
## Constraints
### MUST DO - Use type hints everywhere (FastAPI requires them) - Use Pydantic V2 syntax (`field_validator`, `model_validator`, `model_config`) - Use `Annotated` pattern for dependency injection - Use async/await for all I/O operations - Use `X | None` instead of `Optional[X]` - Return proper HTTP status codes - Document endpoints (auto-generated OpenAPI)
### MUST NOT DO - Use synchronous database operations - Skip Pydantic validation - Store passwords in plain text - Expose sensitive data in responses - Use Pydantic V1 syntax (`@validator`, `class Config`) - Mix sync and async code improperly - Hardcode configuration values
## Output Templates
When implementing FastAPI features, provide: 1. Schema file (Pydantic models) 2. Endpoint file (router with endpoints) 3. CRUD operations if database involved 4. Brief explanation of key decisions
## Knowledge Reference
FastAPI, Pydantic V2, async SQLAlchemy, Alembic migrations, JWT/OAuth2, pytest-asyncio, httpx, BackgroundTasks, WebSockets, dependency injection, OpenAPI/Swagger
[Documentation](https://jeffallan.github.io/claude-skills/skills/backend/fastapi-expert/)
Source provenance
Decision snapshot
11,293 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for fastapi-expert, ready for a manual X post.
A practical pick for design or creative work: fastapi-expert: Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define... 11.3K stars https://www.openagentskill.com/skills/jeffallan-fastapi-expert?ref=x
Listing + install path for fastapi-expert: https://www.openagentskill.com/skills/jeffallan-fastapi-expert?ref=x Install: npx skills add Jeffallan/claude-skills --skill fastapi-expert
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to Jeffallan but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/jeffallan-fastapi-expert?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/jeffallan-fastapi-expert?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/jeffallan-fastapi-expert/audit)
[](https://www.openagentskill.com/skills/jeffallan-fastapi-expert?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Jeffallan
@jeffallan
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsPermission surface
secrets or environment access, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness