evolve
CommandPropose, evaluate, apply or roll back an evidence-linked skill improvement.
Show wiki size, shape, and link density, and which scaling threshold the wiki is at.
> /plugin marketplace add praneybehl/llm-wiki-plugin> /plugin install llm-wiki@llm-wiki
description: Show wiki size, shape, and link density, and which scaling threshold the wiki is at.
Resolve `<WIKI_ROOT>` from an explicit user path, the nearest project instructions, global agent instructions, or finally the current project's `wiki/`. Then run `python "${CLAUDE_PLUGIN_ROOT}/skills/llm-wiki/scripts/wiki_stats.py" "<WIKI_ROOT>"` and present the output to me with a brief interpretation:
For migration procedures, read `skills/llm-wiki/references/scaling-playbook.md`.
**Hosted wiki.** If the resolved wiki is a hosted URL (or the instructions name one), use hosted mode from `skills/llm-wiki/references/hosted-mode.md`: the MCP tools, or `python3 "${CLAUDE_PLUGIN_ROOT}/skills/llm-wiki/scripts/wiki_remote.py"` when MCP is not available. Get the numbers with `python3 "${CLAUDE_PLUGIN_ROOT}/skills/llm-wiki/scripts/wiki_remote.py" stats`. Without a shell, use the counts in `wiki_overview`. Also report `vector_lag`, the search mode and the open review flags. Index sharding and page caps apply the same way.
Turn PDFs, articles, transcripts, and notes into a shared wiki that your AI agents can search, cite, and keep up to date. Add a source once. Ask questions later. Keep the useful answers.
Propose, evaluate, apply or roll back an evidence-linked skill improvement.
Ingest a source (paper, article, transcript, PDF, notes) into the LLM Wiki.
Initialize a personal global LLM Wiki or one in this project, or connect this agent to a hosted wiki.
Capture verified task experience and consolidate reusable lessons in the wiki.
Compare two or more options side by side, recommend one, and let the reader pick in the page
Explain code in detail - what it does, how it works, and why
Create smart commit with quality checks and conventional format