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Agent Skills Deep Dive

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Description

A Python implementation of the Claude Agent Skills system — a sophisticated prompt-based meta-tool architecture that extends LLM capabilities through specialized instruction injection.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

ClaudeSkills Engine

A Python implementation of the Claude Agent Skills system — a sophisticated prompt-based meta-tool architecture that extends LLM capabilities through specialized instruction injection.

[![Python 3.9+](https://img.shields.io/badge/python-3.9+-blue.svg)](https://www.python.org/downloads/) [![License](https://img.shields.io/badge/license-MIT-green.svg)](LICENSE)

🎯 Overview

ClaudeSkills Engine is a complete Python implementation of the Claude Agent Skills system, enabling LLMs to discover, load, and execute specialized skills through a meta-tool architecture. Skills are self-contained instruction sets that extend agent capabilities with domain-specific knowledge and workflows.

Key Features

  • 🔍 Progressive Skill Discovery: Load minimal metadata first, full prompts on demand
  • 🛡️ Permission Scoping: Fine-grained tool permissions per skill with path restrictions
  • 📦 Multi-Source Loading: Support for built-in, project, and user skill directories
  • 🔄 Context Injection: Separate conversation and execution contexts with dynamic modification
  • 🎨 Pattern Support: Built-in implementations of common skill patterns
  • 🔧 Extensible Architecture: Easy to add new tools, patterns, and skill types
  • 📝 Portable Paths: Use {baseDir} placeholders for skill portability

🚀 Quick Start

Installation

Using `uv` (recommended):

uv pip install -e .

Or using `pip`:

pip install -e .

For development with testing and linting tools:

uv pip install -e ".[dev]"

Basic Usage

from engine import ClaudeSkillsEngine

# Initialize engine
engine = ClaudeSkillsEngine(builtin_skills_dir="skills")

# List available skills
skills = engine.list_skills()
for skill in skills:
    print(f"{skill.name}: {skill.description}")

# Execute a skill
result = engine.execute_skill("script-automation", args="analyze /path/to/directory")
if result.success:
    for message in result.messages:
        print(message.content)

Command Line Interface

# List all available skills
python examples/demo.py list

# Show detailed information about a skill
python examples/demo.py show script-automation

# Execute a skill
python examples/demo.py execute script-automation --args "analyze /path/to/directory"

# View the Skill tool's dynamic prompt
python examples/demo.py prompt

# Validate a skill's structure
python examples/demo.py validate script-automation

📚 What Are Skills?

Skills are self-contained instruction sets that extend an LLM's capabilities. Each skill consists of:

  • Metadata (frontmatter): Name, description, tool permissions, version, etc.
  • Instructions: Detailed prompt content that guides the agent's behavior
  • Resources: Supporting files, scripts, or reference materials

Skills use a **meta-tool** pattern: the `Skill` tool dynamically generates prompts listing available skills, and when invoked, injects the full skill instructions i