skill-seekers-reference/docs/ENHANCEMENT.md

AI-Powered SKILL.md Enhancement

Two scripts are available to dramatically improve your SKILL.md file:

1. enhance_skill_local.py - Uses Claude Code Max (no API key, recommended)
2. enhance_skill.py - Uses Anthropic API (~$0.15-$0.30 per skill)

Both analyze reference documentation and extract the best examples and guidance.

Why Use Enhancement?

Problem: The auto-generated SKILL.md is often too generic:

• Empty Quick Reference section
• No practical code examples
• Generic "When to Use" triggers
• Doesn't highlight key features

Solution: Let Claude read your reference docs and create a much better SKILL.md with:

• ✅ Best code examples extracted from documentation
• ✅ Practical quick reference with real patterns
• ✅ Domain-specific guidance
• ✅ Clear navigation tips
• ✅ Key concepts explained

Quick Start (LOCAL - No API Key)

Recommended for Claude Code Max users:

# Option 1: Standalone enhancement
python3 cli/enhance_skill_local.py output/steam-inventory/

# Option 2: Integrated with scraper
python3 cli/doc_scraper.py --config configs/steam-inventory.json --enhance-local

What happens:

1. Opens new terminal window
2. Runs Claude Code with enhancement prompt
3. Claude analyzes reference files (~15-20K chars)
4. Generates enhanced SKILL.md (30-60 seconds)
5. Terminal auto-closes when done

Requirements:

• Claude Code Max plan (you're already using it!)
• macOS (auto-launch works) or manual terminal run on other OS

API-Based Enhancement (Alternative)

If you prefer API-based approach:

Installation

pip3 install anthropic

Setup API Key

# Option 1: Environment variable (recommended)
export ANTHROPIC_API_KEY=sk-ant-...

# Option 2: Pass directly with --api-key
python3 cli/enhance_skill.py output/react/ --api-key sk-ant-...

Usage

# Standalone enhancement
python3 cli/enhance_skill.py output/steam-inventory/

# Integrated with scraper
python3 cli/doc_scraper.py --config configs/steam-inventory.json --enhance

# Dry run (see what would be done)
python3 cli/enhance_skill.py output/react/ --dry-run

What It Does

1. Reads reference files (api_reference.md, webapi.md, etc.)
2. Sends to Claude with instructions to:
   • Extract 5-10 best code examples
   • Create practical quick reference
   • Write domain-specific "When to Use" triggers
   • Add helpful navigation guidance
3. Backs up original SKILL.md to SKILL.md.backup
4. Saves enhanced version as new SKILL.md

Example Enhancement

Before (Auto-Generated)

## Quick Reference

### Common Patterns

*Quick reference patterns will be added as you use the skill.*

After (AI-Enhanced)

## Quick Reference

### Common API Patterns

**Granting promotional items:**
```cpp
void CInventory::GrantPromoItems()
{
    SteamItemDef_t newItems[2];
    newItems[0] = 110;
    newItems[1] = 111;
    SteamInventory()->AddPromoItems( &s_GenerateRequestResult, newItems, 2 );
}

Getting all items in player inventory:

SteamInventoryResult_t resultHandle;
bool success = SteamInventory()->GetAllItems( &resultHandle );

[... 8 more practical examples ...]

## Cost Estimate

- **Input**: ~50,000-100,000 tokens (reference docs)
- **Output**: ~4,000 tokens (enhanced SKILL.md)
- **Model**: claude-sonnet-4-20250514
- **Estimated cost**: $0.15-$0.30 per skill

## Troubleshooting

### "No API key provided"
```bash
export ANTHROPIC_API_KEY=sk-ant-...
# or
python3 cli/enhance_skill.py output/react/ --api-key sk-ant-...

"No reference files found"

Make sure you've run the scraper first:

python3 cli/doc_scraper.py --config configs/react.json

"anthropic package not installed"

pip3 install anthropic

Don't like the result?

# Restore original
mv output/steam-inventory/SKILL.md.backup output/steam-inventory/SKILL.md

# Try again (it may generate different content)
python3 cli/enhance_skill.py output/steam-inventory/

Tips

1. Run after scraping completes - Enhancement works best with complete reference docs
2. Review the output - AI is good but not perfect, check the generated SKILL.md
3. Keep the backup - Original is saved as SKILL.md.backup
4. Re-run if needed - Each run may produce slightly different results
5. Works offline after first run - Reference files are local

Real-World Results

Test Case: steam-economy skill

• Before: 75 lines, generic template, empty Quick Reference
• After: 570 lines, 10 practical API examples, key concepts explained
• Time: 60 seconds
• Quality Rating: 9/10

The LOCAL enhancement successfully:

• Extracted best HTTP/JSON examples from 24 pages of documentation
• Explained domain concepts (Asset Classes, Context IDs, Transaction Lifecycle)
• Created navigation guidance for beginners through advanced users
• Added best practices for security, economy design, and API integration

Limitations

LOCAL Enhancement (enhance_skill_local.py):

• Requires Claude Code Max plan
• macOS auto-launch only (manual on other OS)
• Opens new terminal window
• Takes ~60 seconds

API Enhancement (enhance_skill.py):

• Requires Anthropic API key (paid)
• Cost: ~$0.15-$0.30 per skill
• Limited to ~100K tokens of reference input

Both:

• May occasionally miss the best examples
• Can't understand context beyond the reference docs
• Doesn't modify reference files (only SKILL.md)

Enhancement Options Comparison

Aspect	Manual Edit	LOCAL Enhancement	API Enhancement
Time	15-30 minutes	30-60 seconds	30-60 seconds
Code examples	You pick	AI picks best	AI picks best
Quick reference	Write yourself	Auto-generated	Auto-generated
Domain guidance	Your knowledge	From docs	From docs
Consistency	Varies	Consistent	Consistent
Cost	Free (your time)	Free (Max plan)	~$0.20 per skill
Setup	None	None	API key needed
Quality	High (if expert)	9/10	9/10
Recommended?	For experts only	✅ Yes	If no Max plan

When to Use

Use enhancement when:

• You want high-quality SKILL.md quickly
• Working with large documentation (50+ pages)
• Creating skills for unfamiliar frameworks
• Need practical code examples extracted
• Want consistent quality across multiple skills

Skip enhancement when:

• Budget constrained (use manual editing)
• Very small documentation (<10 pages)
• You know the framework intimately
• Documentation has no code examples

Advanced: Customization

To customize how Claude enhances the SKILL.md, edit enhance_skill.py and modify the _build_enhancement_prompt() method around line 130.

Example customization:

prompt += """
ADDITIONAL REQUIREMENTS:
- Focus on security best practices
- Include performance tips
- Add troubleshooting section
"""

Multi-Platform Enhancement

Skill Seekers supports enhancement for Claude AI, Google Gemini, and OpenAI ChatGPT using platform-specific AI models.

Claude AI (Default)

Local Mode (Recommended - No API Key):

# Uses Claude Code Max (no API costs)
skill-seekers enhance output/react/

API Mode:

# Requires ANTHROPIC_API_KEY
export ANTHROPIC_API_KEY=sk-ant-...
skill-seekers enhance output/react/ --mode api

Model: Claude Sonnet 4 Format: Maintains YAML frontmatter

---

Google Gemini

# Install Gemini support
pip install skill-seekers[gemini]

# Set API key
export GOOGLE_API_KEY=AIzaSy...

# Enhance with Gemini
skill-seekers enhance output/react/ --target gemini --mode api

Model: Gemini 2.0 Flash Format: Converts to plain markdown (no frontmatter) Output: Updates system_instructions.md for Gemini compatibility

---

OpenAI ChatGPT

# Install OpenAI support
pip install skill-seekers[openai]

# Set API key
export OPENAI_API_KEY=sk-proj-...

# Enhance with GPT-4o
skill-seekers enhance output/react/ --target openai --mode api

Model: GPT-4o Format: Converts to plain text assistant instructions Output: Updates assistant_instructions.txt for OpenAI Assistants API

---

Platform Comparison

Feature	Claude	Gemini	OpenAI
Local Mode	✅ Yes (Claude Code Max)	❌ No	❌ No
API Mode	✅ Yes	✅ Yes	✅ Yes
Model	Sonnet 4	Gemini 2.0 Flash	GPT-4o
Format	YAML + MD	Plain MD	Plain Text
Cost (API)	~$0.15-0.30	~$0.10-0.25	~$0.20-0.35

Note: Local mode (Claude Code Max) is FREE and only available for Claude AI platform.

---

See Also

• README.md - Main documentation
• FEATURE_MATRIX.md - Complete platform feature matrix
• MULTI_LLM_SUPPORT.md - Multi-platform guide
• CLAUDE.md - Architecture guide
• doc_scraper.py - Main scraping tool