{"repo":"cyberchitta/llm-context.py","free":true,"listed":false,"github":"https://github.com/cyberchitta/llm-context.py","clone":"git clone https://github.com/cyberchitta/llm-context.py.git","description":"Share code with LLMs via Model Context Protocol or clipboard. Rule-based customization enables easy switching between different tasks (like code review and documentation). Includes smart code outlining.","language":"Python","stars":306,"topics":["coding","tools","cli","claude-desktop","model-context-protocol"],"license":"Apache-2.0","category":"mcp-servers","readme_excerpt":"LLM Context Smart context management for LLM development workflows. Share relevant project files instantly through intelligent selection and rule-based filtering. The Problem Getting the right context into LLM conversations is friction-heavy: - Manually finding and copying relevant files wastes time - Too much context hits token limits, too little misses important details - AI requests for additional files require manual fetching - Hard to track what changed during development sessions The Solution llm-context provides focused, task-specific project context through composable rules. For humans using chat interfaces: For AI agents with CLI access: For AI agents in chat (MCP tools): - lc outlines - Generate excerpted context from current rule - lc preview - Validate rule effectiveness before use - lc missing - Fetch specific files/implementations on demand Note : This project was developed in collaboration with several Claude Sonnets (3.5, 3.6, 3.7, 4.0) and Groks (3, 4), using LLM Context itself to share code during development. All code is heavily human-curated by @restlessronin. Installation For Agents (Claude Code skill) If you're an agent setting llm-context up to help curate task contexts, run this once per project: After lc-init , the lc-curate-context skill loads in this project's Claude Code session. It teaches how to compose a minimal task rule and verify it with lc-preview before generating context. To pick up a newer skill version, run uv tool upgrade llm-context an","default_branch":null,"files":null,"tree":[],"storefront":"/r/cyberchitta","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/cyberchitta/llm-context.py/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}