Skip to main content

AI Agent Skill Search and Management

Project description

skill

AI Agent Skill Search and Management

Manage Agent Skills (SKILL.md files) across multiple AI coding agents — Claude Code, Cursor, GitHub Copilot, Windsurf, and more.

Install

pip install skill

Quick Start

from skill import search, create, install, validate

# Create a skill locally
skill = create('my-skill', description='My custom coding rules')

# Validate it
issues = validate('/path/to/skill-dir')

# Search for skills
results = search('react best practices', local_only=True)

# Install to an agent target
install('_local/my-skill', agent_targets=['claude-code'], scope='project')

Link skills from a project

If a project ships skills (in .claude/skills/, {pkg}/data/skills/, or a dedicated folder), you can symlink them all into your agent's skills directory in one shot:

from skill import link_skills

# Point at a project root — it finds the skills automatically
link_skills('/path/to/my-project')

# Or point at the skills folder directly
link_skills('/path/to/my-project/my_pkg/data/skills')

# Symlink into a specific target instead of ~/.claude/skills
link_skills('/path/to/my-project', target='/other/project/.claude/skills')

Each skill is validated before linking — invalid skills are skipped with a warning. The target directory is also checked to ensure it's a recognized skills directory.

CLI

skill create my-skill --description "My custom coding rules"
skill search "react best practices" --local-only
skill validate ./my-skill/
skill list-skills
skill install _local/my-skill --agent-targets claude-code
skill link-skills /path/to/project
skill link-skills /path/to/project --target ~/.claude/skills --force

Shell completion

Enable tab completion for all skill commands:

skill install-completion

This detects your shell (bash/zsh) and adds the registration line to your shell config (~/.bashrc or ~/.zshrc). Restart your shell or source the config file to activate.

If you prefer to set it up manually:

# Add to your shell config:
eval "$(register-python-argcomplete skill)"

The first time you run any skill command without completion set up, you'll see a one-time hint reminding you to run skill install-completion.

Skills

This package ships its own AI agent skills (in skills/), installable into any agent host with gh skill (GitHub CLI ≥ 2.90.0):

gh skill preview thorwhalen/skill skill-package-setup        # inspect before installing
gh skill install thorwhalen/skill skill-package-setup --agent claude-code
gh skill install thorwhalen/skill skill-enable
Skill What it covers
skill-package-setup Canonical layout & distribution policy — where a package's skills live, gh skill setup, and migration
skill-build Author skills for a package by analyzing its code, tests, and docs
skill-enable Ship skills via pip ({pkg}/data/skills/) + audience classification
skill-docs Document a project's skills in its README
skill-manage Search, list, inspect, install/uninstall skills across agents
skill-sync Keep skills in sync with the code they document

These are dev/maintainer skills, so they're not bundled in the wheel — install them with gh skill as above. See skill-package-setup for the layout policy this repo follows (real files in skills/, relative symlinks in .claude/skills/).

Plugin System

skill has a registry-based plugin architecture with four extension points:

Registry What it holds Import
Agent targets Where agents expect skills installed from skill.install import agent_targets
Translators SKILL.md → target format converters from skill.translate import translators
Backends Remote skill sources for search from skill.search import backends
Validators Pluggable validation rules from skill.create import validators

Register at runtime:

from skill.install import agent_targets, AgentTarget

agent_targets.register('windsurf', AgentTarget(
    name='windsurf',
    project_path='{project}/.windsurf/rules/{name}.md',
    format='skill.md',
))

Or via entry points in your pyproject.toml:

[project.entry-points."skill.agent_targets"]
windsurf = "my_package:windsurf_target"

See Plugin System Documentation for full details on contracts, interfaces, and built-in registrations.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

skill-0.1.11.tar.gz (155.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

skill-0.1.11-py3-none-any.whl (42.4 kB view details)

Uploaded Python 3

File details

Details for the file skill-0.1.11.tar.gz.

File metadata

  • Download URL: skill-0.1.11.tar.gz
  • Upload date:
  • Size: 155.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.23 {"installer":{"name":"uv","version":"0.11.23","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for skill-0.1.11.tar.gz
Algorithm Hash digest
SHA256 0b28c8193dfa62322f02680bf47aa5240ecf18366ef50b15f8275e597f7cb299
MD5 29a0ef56b31811af52ca32a8318f1f2c
BLAKE2b-256 5c88fb4a0ee19f646845c31d5f3a03fa323c93034fc1d027730c466ee5525159

See more details on using hashes here.

File details

Details for the file skill-0.1.11-py3-none-any.whl.

File metadata

  • Download URL: skill-0.1.11-py3-none-any.whl
  • Upload date:
  • Size: 42.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.23 {"installer":{"name":"uv","version":"0.11.23","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for skill-0.1.11-py3-none-any.whl
Algorithm Hash digest
SHA256 7ee51a9a7dc32072812d3f10e5e387a61585ed08e53914082ca07bf4a49ae5cf
MD5 25313882fa9b0c065f71f2efb7cee062
BLAKE2b-256 4fc9aee545eb68e15ee193447298092ea7e624d06745303eb4f2d5cf40ad34b3

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page