From sundial-org-awesome-openclaw-skills-4
Searches and retrieves markdown documents from local qmd knowledge bases using BM25 keyword, vector semantic, and hybrid LLM-re-ranked search. Use for querying notes, documentation, meeting transcripts.
npx claudepluginhub joshuarweaver/cascade-ai-ml-agents-misc-2 --plugin sundial-org-awesome-openclaw-skills-4This skill uses the workspace's default tool permissions.
Search and retrieve documents from locally indexed markdown knowledge bases.
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Guides building MCP servers enabling LLMs to interact with external services via tools. Covers best practices, TypeScript/Node (MCP SDK), Python (FastMCP).
Generates original PNG/PDF visual art via design philosophy manifestos for posters, graphics, and static designs on user request.
Search and retrieve documents from locally indexed markdown knowledge bases.
bun install -g https://github.com/tobi/qmd
# Add a collection
qmd collection add ~/notes --name notes --mask "**/*.md"
# Generate embeddings (required for vsearch/query)
qmd embed
Always use --json flag for structured output when invoking qmd commands.
qmd search "authentication flow" --json
qmd search "error handling" --json -n 10
qmd search "config" --json -c notes
qmd vsearch "how does login work" --json
qmd vsearch "authentication best practices" --json -n 20
qmd query "implementing user auth" --json
qmd query "deployment process" --json --min-score 0.5
| Option | Description |
|---|---|
-n NUM | Number of results (default: 5, or 20 with --json) |
-c, --collection NAME | Restrict to specific collection |
--min-score NUM | Minimum score threshold |
--full | Return complete document content in results |
--all | Return all matches |
qmd get docs/guide.md --json
qmd get "#a1b2c3" --json
qmd get notes/meeting.md:50 -l 100 --json
qmd multi-get "docs/*.md" --json
qmd multi-get "api.md, guide.md, #abc123" --json
qmd multi-get "notes/**/*.md" --json --max-bytes 20480
qmd update # Re-index changed files
qmd status # Check index health
qmd collection list # List all collections
| Mode | Speed | Quality | Best For |
|---|---|---|---|
| search | Fast | Good | Exact keywords, known terms |
| vsearch | Medium | Better | Conceptual queries, synonyms |
| query | Slow | Best | Complex questions, uncertain terms |
Performance note: vsearch and query have ~1 minute cold start latency for vector initialization. Prefer search for interactive use.
qmd can run as an MCP server for direct integration:
qmd mcp
Exposes tools: qmd_search, qmd_vsearch, qmd_query, qmd_get, qmd_multi_get, qmd_status