Agent skill

Fastapi Itechmeat

by Kilo-Org in Kilo-Org/kilo-marketplace

FastAPI Python framework. An agent skill from Kilo-Org/kilo-marketplace.

MITAuto-check passedBackend & APIs

Install Fastapi Itechmeat

skills CLI
$ npx skills add Kilo-Org/kilo-marketplace --skill fastapi-itechmeat -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Kilo-Org/kilo-marketplace fastapi-itechmeat --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/fastapi-itechmeat .claude/skills/fastapi-itechmeat && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
fastapi-itechmeat
GitHub stars
189
Token cost
~1.5k tokens
SKILL.md length
334 words
Files
28 (incl. references)
Skills in repo
87
Repo updated
First seen
Licence
MIT

At a glance

FastAPI Python framework. An agent skill from Kilo-Org/kilo-marketplace.

  • Building Python web APIs with FastAPI
  • SKILL.md covers Quick Navigation, When to Use, Installation and Release Highlights (0.133.0 →…, plus 7 more sections
  • Calls pip and fastapi
  • Configuring Pydantic models

What it does

Fastapi Itechmeat is an agent skill from Kilo-Org/kilo-marketplace. FastAPI Python framework. Covers REST APIs, validation, dependencies, security. Use when building Python web APIs with FastAPI, configuring Pydantic models, implementing dependency injection, or setting up OAuth2/JWT authentication. Keywords: FastAPI, Pydantic, async, OAuth2, JWT, REST API.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 28 other files, including reference files (for example `references/background-tasks.md`, `references/bigger-applications.md` and `references/body-advanced.md`).

It sits in Backend & APIs, covering Backend development, Authentication and REST APIs. It works with FastAPI, Pydantic and Python. The repository describes itself as: Kilo Marketplace - A curated collection of Skills, MCP Servers, and Modes for enhancing AI agent capabilities across the Kilo ecosystem—including Kilo Code (VS Code extension)… The licence is MIT.

When your agent uses it

  • Building Python web APIs with FastAPI
  • Configuring Pydantic models
  • Implementing dependency injection
  • Setting up OAuth2/JWT authentication

Example prompts

  • “/fastapi-itechmeat”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit ff51758. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pip
    • fastapi

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com
    • fastapi.tiangolo.com
    • pypi.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Fastapi Itechmeat loads about 1.5k tokens when it runs, and up to ~27k if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 334 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~27k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Kilo-Org/kilo-marketplace at commit ff51758, republished under its MIT licence (© Kilo-Org). 334 words, ~1,520 tokens.

Download SKILL.mdSave it as .claude/skills/fastapi-itechmeat/SKILL.md (or your agent's skills folder). This skill also uses 27 other files; get the full folder from GitHub.
name
fastapi-itechmeat
description
FastAPI Python framework. Covers REST APIs, validation, dependencies, security. Use when building Python web APIs with FastAPI, configuring Pydantic models, implementing dependency injection, or setting up OAuth2/JWT authentication. Keywords: FastAPI, Pydantic, async, OAuth2, JWT, REST API.
metadata.version
0.136.3
metadata.release_date
2026-05-23
metadata.category
development

FastAPI

This skill provides comprehensive guidance for building APIs with FastAPI.

Quick Navigation

TopicReference
Getting startedreferences/first-steps.md
Path parametersreferences/path-parameters.md
Query parametersreferences/query-parameters.md
Request bodyreferences/request-body.md
Validationreferences/validation.md
Body advancedreferences/body-advanced.md
Cookies/Headersreferences/cookies-headers.md
Pydantic modelsreferences/models.md
Forms/Filesreferences/forms-files.md
Error handlingreferences/error-handling.md
Path configreferences/path-config.md
Dependenciesreferences/dependencies.md
Securityreferences/security.md
Middlewarereferences/middleware.md
CORSreferences/cors.md
Databasereferences/sql-databases.md
Project structurereferences/bigger-applications.md
Background tasksreferences/background-tasks.md
Metadata/Docsreferences/metadata-docs.md
Testingreferences/testing.md
Advanced responsesreferences/responses-advanced.md
WebSocketsreferences/websockets.md
Templatesreferences/templates.md
Settings/Env varsreferences/settings.md
Lifespan eventsreferences/lifespan.md
OpenAPI advancedreferences/openapi-advanced.md

When to Use

  • Creating REST APIs with Python
  • Adding endpoints with automatic validation
  • Implementing OAuth2/JWT authentication
  • Working with Pydantic models
  • Adding dependency injection
  • Configuring CORS, middleware
  • Uploading files, handling forms
  • Testing API endpoints

Installation

Requires Python 3.10+. Install: pip install "fastapi[standard]" (full with uvicorn) or pip install fastapi (minimal). Add python-multipart for forms/files.

Release Highlights (0.133.0 → 0.136.1)

  • 0.134.0: streaming JSON Lines and streaming binary data support using yield.
  • 0.135.0: first-class Server-Sent Events (SSE) support (EventSourceResponse).
  • 0.135.1: fix around TaskGroup usage in request async exit stack (stability fix).
  • 0.136.1: FastAPI updates its Pydantic v2 code to avoid deprecations and bumps Starlette to 1.0.0.

Patch Notes (0.136.2 → 0.136.3)

  • SSE responses now validate event fields more strictly, so malformed ServerSentEvent payloads fail earlier instead of quietly streaming invalid frames.
  • Header parameters no longer accept underscore-named incoming headers when convert_underscores=True (the default). If a client truly sends underscore headers, declare Header(convert_underscores=False) and verify that your proxy chain allows them.

Quick Start

python
from fastapi import FastAPI

app = FastAPI()

@app.get("/")
def read_root():
    return {"Hello": "World"}

@app.get("/items/{item_id}")
def read_item(item_id: int, q: str | None = None):
    return {"item_id": item_id, "q": q}

Run: fastapi dev main.py

Core Patterns

Type-Safe Parameters
python
from typing import Annotated
from fastapi import Path, Query

@app.get("/items/{item_id}")
def read_item(
    item_id: Annotated[int, Path(ge=1)],
    q: Annotated[str | None, Query(max_length=50)] = None
):
    return {"item_id": item_id, "q": q}
Request Body with Validation
python
from pydantic import BaseModel, Field

class Item(BaseModel):
    name: str = Field(min_length=1, max_length=100)
    price: float = Field(gt=0)

@app.post("/items/", response_model=Item)
def create_item(item: Item):
    return item
Dependencies
python
from fastapi import Depends

async def get_db():
    db = SessionLocal()
    try:
        yield db
    finally:
        db.close()

@app.get("/users/")
def list_users(db: Annotated[Session, Depends(get_db)]):
    return db.query(User).all()
Authentication
python
from fastapi.security import OAuth2PasswordBearer

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")

async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]):
    return decode_token(token)

@app.get("/users/me")
def read_me(user: Annotated[User, Depends(get_current_user)]):
    return user

API Documentation

  • Swagger UI: /docs
  • ReDoc: /redoc
  • OpenAPI: /openapi.json

Best Practices

  • Use Annotated[Type, ...] for parameters
  • Define Pydantic models for request/response
  • Use response_model for output filtering
  • Add status_code for proper HTTP codes
  • Use tags for API organization
  • Add dependencies at router/app level for auth

Prohibitions

  • ❌ Return raw database models (use response models)
  • ❌ Store passwords in plain text (use bcrypt/passlib)
  • ❌ Mix Body with Form/File in same endpoint
  • ❌ Use sync blocking I/O in async endpoints
  • ❌ Skip HTTPException for error handling

© Kilo-Org, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 27 other files (references) in skills/fastapi-itechmeat of Kilo-Org/kilo-marketplace.

  • SKILL.md
  • LICENSE
  • references/background-tasks.md
  • references/bigger-applications.md
  • references/body-advanced.md
  • references/cookies-headers.md
  • references/cors.md
  • references/dependencies.md
  • references/error-handling.md
  • references/first-steps.md
  • references/forms-files.md
  • references/lifespan.md
  • references/metadata-docs.md
  • references/middleware.md
  • references/models.md
  • references/openapi-advanced.md
  • references/path-config.md
  • references/path-parameters.md
  • references/query-parameters.md
  • references/request-body.md
  • … and 8 more

Open the folder on GitHubat commit ff51758

Compare with similar skills

Fastapi Itechmeat next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Fastapi Itechmeat compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fastapi Itechmeat this skillKilo-Org/kilo-marketplace189—~1.5kAutomated safety check: PassMIT
FastAPI ExpertJeffallan/claude-skills12k—~1.8kAutomated safety check: PassMIT
Python Fastapi Patternsaiskillstore/marketplace4301 repos~1.3kAutomated safety check: NotesNone
Fastcrudbenavlabs/fastcrud1.6k—~5kAutomated safety check: PassMIT
Fastapi Appccplugins/awesome-claude-code-plugins967—~1.1kAutomated safety check: NotesApache-2.0
Framework Migration AssistantArabelaTso/Skills-4-SE253—~1.9kAutomated safety check: PassApache-2.0

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Categories

Questions about Fastapi Itechmeat

What does Fastapi Itechmeat do?

FastAPI Python framework. An agent skill from Kilo-Org/kilo-marketplace. Fastapi Itechmeat is an agent skill from Kilo-Org/kilo-marketplace. FastAPI Python framework.

When should I use Fastapi Itechmeat?

Fastapi Itechmeat fits situations like: building Python web APIs with FastAPI; configuring Pydantic models; implementing dependency injection; setting up OAuth2/JWT authentication.

How do I install Fastapi Itechmeat in Claude Code?

Run `npx skills add Kilo-Org/kilo-marketplace --skill fastapi-itechmeat -a claude-code`. Or copy the skill folder (skills/fastapi-itechmeat in Kilo-Org/kilo-marketplace) into .claude/skills/fastapi-itechmeat in your project. Claude Code loads it when a task matches its description.

How do I install Fastapi Itechmeat in Codex?

Run `npx skills add Kilo-Org/kilo-marketplace --skill fastapi-itechmeat -a codex`. Or copy the skill folder (skills/fastapi-itechmeat in Kilo-Org/kilo-marketplace) into .agents/skills/fastapi-itechmeat in your project. Codex loads it when a task matches its description.

Can I use Fastapi Itechmeat in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Kilo-Org/kilo-marketplace --skill fastapi-itechmeat -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fastapi-itechmeat, .gemini/skills/fastapi-itechmeat, .github/skills/fastapi-itechmeat and .opencode/skills/fastapi-itechmeat in your project.

What does Fastapi Itechmeat need to run?

Going by SKILL.md and its folder, Fastapi Itechmeat needs the command-line tools its instructions call (pip and fastapi). Our summary lists: Python 3.

Does Fastapi Itechmeat access the network?

SKILL.md names 3 domains. As links in the text: github.com, fastapi.tiangolo.com and pypi.org. This is read from the text; nothing was executed.

Is Fastapi Itechmeat safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Fastapi Itechmeat use?

Fastapi Itechmeat is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Fastapi Itechmeat use?

About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 25k tokens, read only when the agent opens those files.

What are the alternatives to Fastapi Itechmeat?

Skills that share tags, products or a category with Fastapi Itechmeat: FastAPI Expert (Jeffallan/claude-skills, 12k stars), Python Fastapi Patterns (aiskillstore/marketplace, 430 stars), Fastcrud (benavlabs/fastcrud, 1.6k stars) and Fastapi App (ccplugins/awesome-claude-code-plugins, 967 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fastapi Itechmeat?

Kilo-Org (a GitHub organization) maintains it in Kilo-Org/kilo-marketplace, which has 189 GitHub stars. The repository holds 87 skills in this directory. The repository was last updated on September 28, 2026.

Source: Kilo-Org/kilo-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.