avinyc:qmd-search
QMD Search
Search your project's indexed markdown documentation using qmd's MCP tools. This skill reads your project's qmd configuration to know which collections to search, constructs structured queries, and retrieves relevant documents.
Step 1: Read Config
Read .claude/qmd.json from the project root.
If missing, tell the user:
qmd is not configured for this project. Run
/avinyc:qmd-configureto set it up.
Then STOP.
Extract project name and collections — each has a name, path, and description. Pick the best collection for the query by matching against descriptions. If only one collection exists, use it.
Step 2: Search via MCP
Use the mcp__qmd__query tool with a structured query. This is the primary search method — it's faster than CLI (models stay warm between queries) and supports multi-type queries with intent disambiguation.