AgentToolHub
Skill

python-fastapi-patterns

python-fastapi-patterns — a Claude Code skill from autohandai/community-skills

Features

  • ✓Curated collection of 200+ Autohand skills
  • ✓Teach Autohand specific technologies and patterns
  • ✓Interactive and non-interactive modes for skill discovery
  • ✓Custom skill generation based on project analysis
  • ✓Manage skills with interactive commands and feedback

Installation Guide

1. Install Autohand

bash
# Shell (macOS / Linux)
curl -fsSL https://autohand.ai/install | sh

# npm
npm install -g autohand

# bun
bun install -g autohand

2. Discover skills for your project

Autohand has two modes: interactive (slash commands inside a session) and non-interactive (flags passed directly).

#### Interactive mode

Start a session and use /learn to analyze your project:

bash
autohand
> /learn

/learn uses a two-phase LLM-powered advisor:

  • Analyze + Rank — scans your project structure, audits installed skills for redundancy, and ranks community skills by relevance (0-100)

  • Generate — if no community skill scores above 60, offers to generate a custom skill tailored to your project

    • For a deeper scan that reads source files:

    text
    > /learn deep

    To re-analyze and regenerate outdated skills:

    text
    > /learn update

    #### Non-interactive mode

    Run skill operations directly from the terminal without starting a session:

    bash
    # Analyze project and install recommended skills
autohand --learn

# Re-analyze and regenerate outdated skills
autohand --learn-update

# Auto-generate 3 skills based on detected stack
autohand --auto-skill

    3. Install specific skills

    #### Interactive

    bash
    autohand
> /skills install

    Browse and install community skills interactively.

    #### Non-interactive

    bash
    # Install a specific skill
autohand --skill-install typescript-refactoring-patterns

# Install at project level (instead of user/global level)
autohand --skill-install react-component-architecture --project

    Reviews