Claude Skills Supercharged

AI-powered skill auto-injection system for Claude Code Skills

Stop manually invoking skills. Let AI detect what you need and inject it automatically with 95%+ accuracy. The system analyzes your prompts using Claude Haiku 4.5, assigns confidence scores, and intelligently loads the right context—every time.

💡 Credit: Base reference architecture from @diet103's claude-code-infrastructure-showcase

📊 Performance at a Glance

Metric	Value
✅ Test Coverage	All tests passing
⚡ Response Time	<10ms (cached) / ~200ms (first call)
💰 Monthly Cost	$1-2 @ 100 prompts/day
🎯 Accuracy	95%+ skill detection rate

🎯 Why This?

The Problem: Manually loading skills is tedious, error-prone, and breaks your flow. You forget which skills exist, waste time invoking them, and lose context between conversations.

The Solution: This system uses AI to automatically:

🔍 Analyze your prompt intent with Claude Haiku 4.5
📊 Score each skill's relevance (0.0-1.0 confidence)
🚀 Inject high-confidence skills (>0.65) into context automatically
💾 Cache results for 1 hour to reduce costs
🔗 Track loaded skills per session (no duplicates)

Before: "Let me manually load python-best-practices... wait, was it python-style? Let me check..."

After: Just say "help me write Python code" and the right skills load automatically. 🎉

✨ Features

🤖 AI-Powered Intent Analysis — Claude Haiku 4.5 analyzes your prompts to detect relevant skills with 0.0-1.0 confidence scoring
⚡ Automatic Injection — High-confidence skills (>0.65) automatically loaded into context
💾 Smart Caching — 1-hour TTL reduces API costs (~$1-2/month) and improves response time (<10ms cached)
🔄 Session Tracking — Skills only injected once per conversation, no duplicates
🔗 Bidirectional Affinity — Related skills automatically loaded together
📚 Progressive Disclosure — Main skill files under 500 lines, detailed content in resources
🛡️ Guardrail Skills — Enforce critical best practices (e.g., API security, input validation)
✅ Comprehensive Testing — Full coverage of the injection pipeline

🚀 Quick Start

1. Clone the Repository

git clone https://github.com/jefflester/claude-skills-supercharged.git
cd claude-skills-supercharged

2. Install Dependencies

cd .claude/hooks
npm install

3. Configure API Key

cp .env.example .env
# Edit .env and add: ANTHROPIC_API_KEY=sk-ant-your-key-here

Get your API key from: https://console.anthropic.com/

4. Test the System

# Test skill activation
echo '{"session_id":"test","prompt":"I need to write Python code"}' | \
  npx tsx skill-activation-prompt.ts

5. (Optional) Set Up Pre-commit Hooks

# Install pre-commit
pip install pre-commit  # or: brew install pre-commit

# Install git hooks
pre-commit install

# Run on all files (optional)
pre-commit run --all-files

6. Use with Claude Code

The system automatically activates when you use Claude Code in this project. Try these prompts:

"Help me write a Python function" → Loads python-best-practices
"I need to add a REST API endpoint" → Loads api-security
"How do I write a good commit message?" → Loads git-workflow

You'll see a banner showing which skills were loaded:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📚 AUTO-LOADED SKILLS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

<skill name="python-best-practices">
[Skill content automatically injected...]
</skill>

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

🔧 How It Works

The skills system uses a 7-stage injection pipeline:

┌─────────────────────────────────────────────────────────────┐
│ 1.  User Prompt                                             │
│    "Help me write Python code"                              │
└────────────────────┬────────────────────────────────────────┘
                     ↓
┌─────────────────────────────────────────────────────────────┐
│ 2.  Intent Analysis                                         │
│    • AI Analysis (Claude Haiku 4.5)                         │
│    • Keyword Fallback (if API unavailable)                  │
│    • Cache Check (MD5 hash, 1-hour TTL)                     │
└────────────────────┬────────────────────────────────────────┘
                     ↓
┌─────────────────────────────────────────────────────────────┐
│ 3. Confidence Scoring                                       │
│    python-best-practices: 0.92     Required (>0.65)         │
│    git-workflow: 0.58              Suggested (0.50-0.65)    │
│    api-security: 0.12              Ignored (<0.50)          │
└────────────────────┬────────────────────────────────────────┘
                     ↓
┌─────────────────────────────────────────────────────────────┐
│ 4.  Skill Filtration                                        │
│    • Remove already-loaded skills                           │
│    • Apply 2-skill injection limit                          │
│    • Promote suggested skills if slots available            │
└────────────────────┬────────────────────────────────────────┘
                     ↓
┌─────────────────────────────────────────────────────────────┐
│ 5.  Affinity Injection                                      │
│    • Load bidirectionally-related skills                    │
│    • Free of slot cost (bonus injections)                   │
└────────────────────┬────────────────────────────────────────┘
                     ↓
┌─────────────────────────────────────────────────────────────┐
│ 6.  Dependency Resolution                                   │
│    • Resolve requiredSkills dependencies                    │
│    • Sort by injectionOrder (0-100)                         │
│    • Detect circular dependencies                           │
└────────────────────┬────────────────────────────────────────┘
                     ↓
┌─────────────────────────────────────────────────────────────┐
│ 7.  Skill Injection & State Management                      │
│    • Read SKILL.md files                                    │
│    • Wrap in <skill> XML tags                               │
│    • Track loaded skills (prevent duplicates)               │
│    • Output enriched context to Claude                      │
└─────────────────────────────────────────────────────────────┘

Key Concepts

Intent Analysis: Claude Haiku 4.5 analyzes your prompt to determine what you're trying to do, assigning confidence scores to each skill.

Confidence Thresholds:

>0.65 - Required (automatically injected)
0.50-0.65 - Suggested (shown as optional)
<0.50 - Ignored

Skill Types:

Domain skills: Provide comprehensive guidance (e.g., python-best-practices)
Guardrail skills: Enforce critical practices (e.g., api-security)

Session Tracking: Skills are tracked per conversation. Once loaded, they won't be injected again in the same conversation.

Caching: Intent analysis results are cached for 1 hour using MD5 hashing of (prompt + skills config).

🎓 Included Skills

1. skill-developer

A domain skill that guides creation and management of the skills system.

Covers: Skill structure, triggers, hooks, 500-line rule, progressive disclosure

2. python-best-practices (Domain)

Python development best practices.

Covers: PEP 8, type hints, NumPy docstrings, common patterns, testing

3. git-workflow (Domain)

Git workflow and version control best practices.

Covers: Conventional Commits, branching, PRs, common operations, security

4. api-security (Guardrail)

API security and vulnerability prevention. Enforces security checks.

Covers: Authentication, input validation, SQL injection, XSS, OWASP Top 10

🏗️ Architecture

The system is built on three main components:

Hook System (.claude/hooks/)
- UserPromptSubmit hook that analyzes prompts
- 13 TypeScript modules handling the injection pipeline
- Comprehensive test suite (11 test files)
Skills (.claude/skills/)
- SKILL.md files with YAML frontmatter
- Resource directories for detailed content
- skill-rules.json configuration
Configuration
- skill-rules.json: Defines all skills and triggers
- intent-analysis-prompt.txt: AI analysis template
- .env: API key configuration

For detailed architecture documentation, see docs/ARCHITECTURE.md.

🛠️ Creating Custom Skills

Creating a new skill is simple:

1. Create Skill Directory

mkdir -p .claude/skills/my-skill/resources

2. Create SKILL.md

---
name: my-skill
description: Brief description of what this skill does
---

# My Skill

## Purpose
What this skill helps with...

## When to Use This Skill
When it should activate...

[Your content here - keep under 500 lines]

3. Add to `skill-rules.json`

{
  "my-skill": {
    "type": "domain",
    "autoInject": true,
    "requiredSkills": [],
    "description": "Brief description",
    "promptTriggers": {
      "keywords": ["keyword1", "keyword2"]
    }
  }
}

4. Test Activation

echo '{"session_id":"test","prompt":"mention keywords here"}' | \
  npx tsx .claude/hooks/skill-activation-prompt.ts

For comprehensive guidance, see docs/CREATING-SKILLS.md or load the skill-developer skill.

🔄 Keeping Skills Updated

As your codebase evolves, your skills need to stay in sync. Use the /wrap command to maintain skill accuracy:

# When you finish a coding session
/wrap

What /wrap does:

🔍 Analyzes recent code changes and new patterns
📝 Updates skill documentation to reflect current codebase state
🎯 Refines keywords and triggers based on actual usage
✅ Ensures tests cover new functionality
📚 Syncs examples and best practices with implementation

Workflow Example:

Build a new feature (e.g., add authentication endpoints)
Run /wrap when done
The system updates api-security skill with your auth patterns
Updates keywords to include your specific auth methods
Adds examples from your actual implementation

This continuous maintenance loop keeps skills relevant and accurate as your codebase grows. Skills that accurately reflect your current code are more likely to be triggered at the right time.

💡 Pro Tip: Run /wrap at the end of each feature or sprint to keep skills synchronized with your evolving codebase.

⚙️ Configuration

Change AI Model

Set the model used for intent analysis via environment variable (defaults to claude-haiku-4-5):

# In .claude/hooks/.env
CLAUDE_SKILLS_MODEL=claude-sonnet-4-5  # Use Sonnet for more accurate analysis

Available models:

claude-haiku-4-5 (recommended: fast, cheap, accurate)
claude-sonnet-4-5 (more capable, higher cost)
claude-opus-4 (most capable, highest cost)

Adjust Confidence Thresholds

All thresholds can be configured via environment variables (set in .claude/hooks/.env):

# In .claude/hooks/.env
SKILL_CONFIDENCE_THRESHOLD=0.65  # Auto-inject threshold (default: 0.65)
SKILL_SUGGESTED_THRESHOLD=0.50   # Suggested threshold (default: 0.50)
SKILL_SHORT_PROMPT_WORDS=6       # Skip AI for prompts under N words (default: 6)
SKILL_CACHE_TTL_MS=3600000       # Cache TTL in ms (default: 1 hour)

Or edit defaults in .claude/hooks/lib/constants.ts:

export const CONFIDENCE_THRESHOLD = 0.65; // Auto-inject
export const SUGGESTED_THRESHOLD = 0.50; // Suggest
export const MAX_REQUIRED_SKILLS = 2; // Max required skills per prompt
export const MAX_SUGGESTED_SKILLS = 2; // Max suggested skills per prompt

Adjust Cache TTL

Via environment variable (recommended):

SKILL_CACHE_TTL_MS=3600000  # 1 hour in milliseconds

Or edit .claude/hooks/lib/constants.ts:

export const CACHE_TTL_MS = 60 * 60 * 1000; // 1 hour

Enable Debug Mode

export CLAUDE_SKILLS_DEBUG=1
tail -f .claude/hooks/skill-injection-debug.log

🧪 Testing

Run the comprehensive test suite:

cd .claude/hooks
npm test

Test coverage includes:

Intent analysis with caching
Skill filtration and affinity injection
Dependency resolution
Session state management
Output formatting
Schema validation

🔍 Troubleshooting

Skills not activating

# Check configuration
cat .claude/skills/skill-rules.json

# Test manually
echo '{"session_id":"test","prompt":"python"}' | \
  npx tsx .claude/hooks/skill-activation-prompt.ts

# Enable debug mode
export CLAUDE_SKILLS_DEBUG=1

# Check debug log
tail -f .claude/hooks/skill-injection-debug.log

API key issues

# Verify .env file
cat .claude/hooks/.env

# Test API key
curl -H "x-api-key: $ANTHROPIC_API_KEY" \
  https://api.anthropic.com/v1/messages

Clear caches

# Clear intent analysis cache
rm -rf .cache/intent-analysis/

# Clear session state
rm -rf .claude/hooks/state/

📚 Documentation

Getting Started Guide - Step-by-step setup
Architecture Documentation - System design and internals
Creating Skills Guide - How to author custom skills
Hooks README - Hook system documentation
Skills README - Skills system overview

🤝 Contributing

Contributions welcome! This is a template/framework for building skills systems. Feel free to:

Add new example skills
Improve documentation
Enhance the intent analysis prompt
Add new features to the hook system
Report bugs or suggest improvements

📄 License

MIT License - See LICENSE for details.

🙏 Credits

Built for the Claude Code community. Inspired by the need for automatic, intelligent context loading in AI-assisted development workflows.

Special thanks to @diet103 for the base reference architecture.

❓ FAQ

Q: Does this work with other AI assistants?

A: The skills system is specific to Claude Code's hook system. However, the concept can be adapted to other tools.

Q: How much does the API usage cost?

A: Approximately $1-2/month at 100 prompts/day using Claude Haiku 4.5. Caching significantly reduces costs.

Q: Can I use this without the AI analysis?

A: Yes! Set ANTHROPIC_API_KEY to empty and the system will fall back to keyword matching.

Q: How do I disable a skill?

A: Set autoInject: false in skill-rules.json or remove the skill entirely.

Q: What's the 500-line rule?

A: Skills should stay under 500 lines for optimal agent processing. Use progressive disclosure (resource files) for detailed content.

Q: Can skills depend on other skills?

A: Yes! Use the requiredSkills array in skill-rules.json to specify dependencies.

Q: What's the difference between requiredSkills and affinity?

Aspect	`requiredSkills`	`affinity`
Purpose	Hard dependencies	Complementary skills
Direction	One-way only	Bidirectional (both ways)
Slot cost	Counts toward 2-skill limit	FREE - bonus injections
Use when	"Skill A needs B to work"	"Skills work great together"

Use requiredSkills for mandatory dependencies (e.g., advanced skill requires foundation)
Use affinity for related skills that complement each other (loads 3+ skills while using 1-2 slots)

Q: How do I see which skills are loaded?

A: Look for the "📚 AUTO-LOADED SKILLS" banner at the start of Claude's response.

Name		Name	Last commit message	Last commit date
Latest commit History 70 Commits
.claude		.claude
.github		.github
docs		docs
.gitignore		.gitignore
.pre-commit-config.yaml		.pre-commit-config.yaml
LICENSE		LICENSE
README.md		README.md

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jefflester/claude-skills-supercharged

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