Llm Optimization skills for AI agents
8 practitioner-grade llm optimization skills, each a focused Markdown document your agent loads into context on demand. Search them from Claude Desktop, Cursor or any MCP client, or pull one with the CLI.
All 8 skills
- AI Crawler Management & robots.txt
This is the complete reference of known AI crawler user agents as of 2025-2026. Use this to configure robots.txt and monitor crawl traffic.
417 lines - Entity-Based Optimization for AI Knowledge Graphs
An
230 lines - GEO Content Strategy — Writing for AI Citation
AI retrieval systems evaluate relevance primarily on opening content. The first 200 words of any page determine whether an AI system will consider it for citation.
234 lines - Generative Engine Optimization (GEO) Fundamentals
Generative Engine Optimization (GEO) is the practice of optimizing digital content to appear in AI-generated responses from platforms like ChatGPT, Perplexity, Google AI Overviews, and Claude. Answer
169 lines - Measuring & Monitoring LLM Visibility
| Metric | Description | Target |
203 lines - llms.txt Standard Implementation
The llms.txt standard was created by Jeremy Howard (Answer.AI) and published on September 3, 2024. It defines a plain-text Markdown file served at `/llms.txt` that provides a concise, human-curated ma
278 lines - Platform-Specific GEO — ChatGPT, Perplexity, Google AI Overviews
ChatGPT uses Bing
273 lines - Schema Markup for LLM Citation & Visibility
Microsoft
343 lines