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kung-fu

一个用于AI知识的包管理器。按需技能发现和安装的元技能——搜索精心策划的本地仓库或全局skills.sh注册表。自我教学能力能够在代理缺乏专业知识时找到、评估并安装相关技能。当遇到不熟悉的框架、语言、工具或领域时使用。当你需要“学习一项技能”、“为X找技能”、“搜索技能”,或者在特定技术上缺乏专业知识时使用。

person作者: jakexiaohubgithub

Learning Skills

Overview

This skill runs in a forked context and helps you discover and install relevant skills for a given task using a two-tier approach:

  1. Local repositories (preferred): Search through known, validated repositories in @./SKILL_REPOSITORIES.md
  2. Remote search (fallback): Query the skills.sh API to discover skills from the broader ecosystem

Context: When invoked, use $ARGUMENTS to understand what skills are needed. For example, if invoked as /kung-fu Flask API with authentication, search for Flask and authentication-related skills.

First, run the add-skill CLI with the help flag to get a general understanding of what it does and how it works:

npx -y add-skill --help

Source Formats

The CLI accepts multiple repository formats:

| Format | Example | |--------|---------| | GitHub shorthand | vercel-labs/agent-skills | | Full GitHub URL | https://github.com/vercel-labs/agent-skills | | Direct skill path | https://github.com/vercel-labs/agent-skills/tree/main/skills/frontend-design | | GitLab repository | https://gitlab.com/org/repo | | Generic git URL | git@github.com:vercel-labs/agent-skills.git |

CLI Flags Reference

| Flag | Purpose | |------|---------| | -l, --list | Display available skills without installing | | -s, --skill <skills...> | Install only specified skills by name | | -a, --agent <agents...> | Target specific agents (see @./AGENTS.md) | | -g, --global | Install to user directory instead of project-level | | -y, --yes | Skip confirmation prompts | | -h, --help | Show help information |

Reading

Read from the list of repositories in @./SKILL_REPOSITORIES.md and run each one:

npx -y add-skill <repository> --list

This displays a list of skill names and their associated descriptions.

Example

> npx -y add-skill vercel-labs/agent-skills --list

┌   skills
│
◇  Source: https://github.com/vercel-labs/agent-skills.git
│
◇  Repository cloned
│
◇  Found 2 skills
│
◇  Available Skills
│
│    vercel-react-best-practices
│
│      React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
│
│    web-design-guidelines
│
│      Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".

Do this for all known skill repositories.

Remote Search (skills.sh)

If no relevant skills are found in the known repositories, or if the user explicitly requests a remote search, use the skills.sh API to discover skills from the broader ecosystem.

When to use remote search:

  • User explicitly asks to "search for skills" or "find skills remotely"
  • No relevant skills found in @./SKILL_REPOSITORIES.md for the task at hand
  • Working with an unfamiliar technology or domain

Important: Before searching remotely, ask the user for confirmation unless they explicitly requested it.

Search API

curl -s "https://skills.sh/api/search?q=<query>&limit=<limit>"

| Parameter | Description | |-----------|-------------| | q | Search query (e.g., "flask", "terraform", "react testing") | | limit | Maximum results to return (default: 10, max: 50) |

Example Search

curl -s "https://skills.sh/api/search?q=flask&limit=10"

Response:

{
  "query": "flask",
  "searchType": "fuzzy",
  "skills": [
    {
      "id": "flask",
      "name": "flask",
      "installs": 70,
      "topSource": "jezweb/claude-skills"
    },
    {
      "id": "flask-api-development",
      "name": "flask-api-development",
      "installs": 11,
      "topSource": "aj-geddes/useful-ai-prompts"
    }
  ],
  "count": 2,
  "duration_ms": 2
}

Remote Search Workflow

  1. Search for skills matching your task:

    curl -s "https://skills.sh/api/search?q=<technology>&limit=20"
    
  2. Extract repositories from the topSource field in each result.

  3. List descriptions from discovered repositories:

    npx -y add-skill <topSource> --list
    
  4. Evaluate the skill descriptions to determine relevance.

  5. Install relevant skills using the standard installation command.

Example: Finding Flask Skills

# Step 1: Search for flask skills
curl -s "https://skills.sh/api/search?q=flask&limit=10"

# Step 2: List skills from discovered repositories
npx -y add-skill jezweb/claude-skills --list
npx -y add-skill aj-geddes/useful-ai-prompts --list

# Step 3: Install the relevant skill
npx -y add-skill jezweb/claude-skills -y -a claude-code --skill flask

Deciding

Now that you see all available skills, install any skills that are related to the task at hand:

npx -y add-skill <repository> -y -a <agent-name> --skill <skill-name>

The agent name is the name of the agent you are using. See @./AGENTS.md for acceptable values.

Example

If your thoughts are along the lines of "I'm creating a website," you should identify web-design-guidelines as a good skill to learn:

npx -y add-skill vercel-labs/agent-skills -y -a claude-code --skill web-design-guidelines

You can install multiple skills by repeating the --skill flag:

npx -y add-skill <repository> -y -a <agent-name> --skill <skill-a> --skill <skill-b> --skill <skill-c>

You may also install all skills from a repository at once:

npx -y add-skill <repository> -y -a <agent-name> --all

For global installation (user directory instead of project-level), add the -g flag:

npx -y add-skill <repository> -y -g -a <agent-name> --skill <skill-name>

Acknowledgment

After successfully installing skills, announce what you've learned using proper grammar:

One skill:

I know Terraform.

Two skills:

I know Terraform and Flask.

Three or more skills:

I know Terraform, Flask, and React.

This confirms to the user that the knowledge upload is complete.

Telemetry

To disable anonymous usage data collection:

DISABLE_TELEMETRY=1 npx -y add-skill <repository> --list

Telemetry is automatically disabled in CI environments.