Awesome-openclaw-skills qmd-4

Search and retrieve markdown documents from local knowledge bases using qmd. Supports BM25 keyword search, vector semantic search, and hybrid search with LLM re-ranking. Use for querying indexed notes, documentation, meeting transcripts, and any markdown-based knowledge. Requires qmd CLI installed (bun install -g https://github.com/tobi/qmd).

install

source · Clone the upstream repo

git clone https://github.com/sundial-org/awesome-openclaw-skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/sundial-org/awesome-openclaw-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/qmd-4" ~/.claude/skills/sundial-org-awesome-openclaw-skills-qmd-4 && rm -rf "$T"

OpenClaw · Install into ~/.openclaw/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/sundial-org/awesome-openclaw-skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/qmd-4" ~/.openclaw/skills/sundial-org-awesome-openclaw-skills-qmd-4 && rm -rf "$T"

manifest: skills/qmd-4/SKILL.md

source content

QMD - Local Markdown Search

Search and retrieve documents from locally indexed markdown knowledge bases.

Installation

bun install -g https://github.com/tobi/qmd

Setup

# Add a collection
qmd collection add ~/notes --name notes --mask "**/*.md"

# Generate embeddings (required for vsearch/query)
qmd embed

Usage Rules

Always use

--json

flag for structured output when invoking qmd commands.

Search Commands

search (BM25 keyword search - fast)

qmd search "authentication flow" --json
qmd search "error handling" --json -n 10
qmd search "config" --json -c notes

vsearch (vector semantic search)

qmd vsearch "how does login work" --json
qmd vsearch "authentication best practices" --json -n 20

query (hybrid with LLM re-ranking - best quality)

qmd query "implementing user auth" --json
qmd query "deployment process" --json --min-score 0.5

Search Options

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

Retrieval Commands

get (single document)

qmd get docs/guide.md --json
qmd get "#a1b2c3" --json
qmd get notes/meeting.md:50 -l 100 --json

multi-get (multiple documents)

qmd multi-get "docs/*.md" --json
qmd multi-get "api.md, guide.md, #abc123" --json
qmd multi-get "notes/**/*.md" --json --max-bytes 20480

Maintenance Commands

qmd update              # Re-index changed files
qmd status              # Check index health
qmd collection list     # List all collections

Search Mode Selection

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.

MCP Server

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