Recall

name recall description Triggers when the user runs /recall [topic] or asks Claude to "reload a <topic>"i, "query a <topic>. It parses the output from qmd and pre-loads the top 5 most relevant wiki pages into context before responding. This ensures answers are grounded in existing wiki knowledge rather than hallucinated from training data. Recall — Query a Topic from the Wiki Triggered by /recall <topic> or equivalent phrasing, where <topic> is the search topic to query. It uses qmd an on-device search engine for markdown files combining three strategies: BM25 full-text search — keyword precision. Vector semantic search — finds conceptually related pages even without keyword match. LLM re-ranking — highest quality; LLM scores results for relevance. All models run locally via node-llama-cpp with GGUF models. No data leaves your machine. What to do

1. Run qmd run: npx qmd query "{topic}" --json
2. Parse the output Parse the output and pre-load the top 5 most relevant wiki pages into context before responding. This ensures answers are grounded in existing wiki knowledge rather than hallucinated from training data.
3. Respond to the user Respond to the user with an answer that's grounded in existing wiki knowledge as described in the previous step