Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
QMD CLI
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).
skill openclawclawhub Free
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).
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.0
Provenance
- Publisher
- dpaluy
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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 (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
OptionDescription-n NUMNumber of results (default: 5, or 20 with --json)-c, --collection NAMERestrict to specific collection--min-score NUMMinimum score threshold--fullReturn complete document content in results--allReturn all matches
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
ModeSpeedQualityBest ForsearchFastGoodExact keywords, known termsvsearchMediumBetterConceptual queries, synonymsquerySlowBestComplex 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
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md