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MyAiConfiguration/shared/skills/research/semantic-search/SKILL.md
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name, description
name description
semantic-search MUST use before reading or grepping code whenever the exact symbol, file, or string is not already known - concept questions, unfamiliar areas, "where/how is X done", and bug reports that describe behavior. Use rg only for known identifiers, paths, or exact strings.

Semantic Search

Search the current Git repository, plus the user's registered QMD collections, by meaning. QMD runs locally with Qwen3-Embedding-0.6B, Qwen3-Reranker-0.6B, and QMD Query Expansion 1.7B; a background daemon keeps them loaded.

Rule

Run this search first whenever you do not already know the exact identifier, path, or string. Do not start with rg guesses for a concept. This skill locates code; repository-research then traces the flow from the verified hits.

Run

The same command works in Bash and PowerShell:

node "$HOME/.my-ai-configuration/qmd/qmd-search.mjs" --query "<full question about behavior>" --top-k 5

Output: JSON list of {path, line, score, snippet}, best first. Repository paths are relative to the repository root; hits from other collections are qmd://<collection>/<path>.

Use the results

  1. Phrase the query as a full question about behavior, not a keyword list. Batch related questions into one precise query.
  2. Open the top hits and verify them against the current files before acting; the index can lag behind uncommitted edits.
  3. If no hit is relevant, run one rephrased search before switching to rg.
  4. Continue with repository-research from the verified hits: callers, tests, and conventions.

Failure

If the command exits non-zero, continue with rg and state the limitation in one sentence.