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Share code with LLMs via MCP or clipboard with task-specific context rules.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "llm-context.py" yet — see the docs or source repo.
Use llm-context.py to collect the core files related to the payment module in this repository. Apply the 'code review' rule and produce LLM-ready context including key file summaries, major call chains, and risk areas to inspect.
An LLM-ready code review context package with file overviews, structural summaries, and review focus points.
Use llm-context.py with the 'documentation' rule to organize the API-related code in the current project. Produce context for an LLM to write developer docs, including interface definitions, parameter sources, and example file locations.
A documentation-focused LLM context package ready for generating API or developer documentation drafts.
Use llm-context.py to extract the minimal necessary code context for this bug-fix task and copy it to the clipboard. Prioritize error-related files, dependencies, and smart outlines while excluding irrelevant content.
A concise but complete issue-focused code context that can be pasted directly into an LLM for debugging.
Read, edit, and refactor code precisely with AST-based, token-efficient operations.
Read, search, and update codebase documentation context through MCP.
Store and retrieve repo patterns so models understand projects instantly.
Index codebases locally and retrieve only relevant context for AI coding.
Explore codebases faster with context-aware search and fuzzy snippet matching.
Enable Claude Code to orchestrate multiple LLMs for coding and complex tasks.