Agent Skills: llm-tldr

Summarize and navigate this repo with the llm-tldr CLI (tree/structure/context/semantic search). Use when you need LLM-ready summaries of files or symbols, fast codebase orientation, or behavior-based search before editing.

UncategorizedID: tiberriver256/ai-coding-workshop/llm-tldr

Install this agent skill to your local

pnpm dlx add-skill https://github.com/Tiberriver256/ai-coding-workshop/tree/HEAD/skills/llm-tldr

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skills/llm-tldr/SKILL.md

Skill Metadata

Name
llm-tldr
Description
Summarize and navigate this repo with the llm-tldr CLI (tree/structure/context/semantic search). Use when you need LLM-ready summaries of files or symbols, fast codebase orientation, or behavior-based search before editing.

llm-tldr

Run the tool

  • Install the vendored tool when needed:
    python3 -m venv .venv
    source .venv/bin/activate
    pip install -e tools/llm-tldr
    
  • Build or refresh the index from the repo root:
    tldr warm .
    
  • Generate LLM-ready summaries or semantic matches:
    tldr context <symbol> --project .
    tldr semantic "<behavior or intent>" .
    tldr tree <path>
    tldr structure <path> --lang <language>
    

Know where outputs go

  • Read results from stdout; redirect to a file if you need to persist them.
  • Expect indexes and config under .tldr/ in the repo root (e.g., .tldr/cache/semantic.faiss).
  • Note that tldr warm . will create .tldrignore if it is missing.

Troubleshoot quickly

  • Rebuild the index after large changes: tldr warm ..
  • If semantic search fails, confirm the venv is active and the tool is installed from tools/llm-tldr.