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MyAiConfiguration/shared/skills/research/semantic-search/SKILL.md
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name, description
name description
semantic-search MUST apply before EVERY repository search or lookup, including direct reads, exact matches, and follow-up searches. Route known identifiers to direct reads or rg; run semantic retrieval first for unknown identifiers and behavior questions.

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

Apply research, repository-research, and this routing rule before each repository lookup. Known exact identifiers, paths, or strings use direct reads or rg under the same research checks. Unknown identifiers require semantic retrieval first; guessed keywords are not known identifiers. Reevaluate the route for every follow-up query. Reuse instructions already in context.

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.