Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Productivity
qmd Local Search
Fast local search for markdown files, notes, and docs using qmd CLI. Use instead of `find` for file discovery. Combines BM25 full-text search, vector semantic search, and LLM reranking—all running locally. Use when searching for files, finding code, locating documentation, or discovering content in indexed collections.
skill openclawclawhub Free
Fast local search for markdown files, notes, and docs using qmd CLI. Use instead of `find` for file discovery. Combines BM25 full-text search, vector semantic search, and LLM reranking—all running locally. Use when searching for files, finding code, locating documentation, or discovering content in indexed collections.
⬇ 0 downloads ★ 0 stars Unverified but indexed
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
- 1.0.0
Provenance
- Publisher
- bheemreddy181
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
When to Use
Finding files — use instead of find across large directories (avoids hangs) Searching notes/docs — semantic or keyword search in indexed collections Code discovery — find implementations, configs, or patterns Context gathering — pull relevant snippets before answering questions
Search (most common)
# Keyword search (BM25) qmd search "alpaca API" -c projects # Semantic search (understands meaning) qmd vsearch "how to implement stop loss" # Combined search with reranking (best quality) qmd query "trading rules for breakouts" # File paths only (fast discovery) qmd search "config" --files -c kell # Full document content qmd search "pattern detection" --full --line-numbers
Collections
# List collections qmd collection list # Add new collection qmd collection add /path/to/folder --name myproject --mask "*.md,*.py" # Re-index after changes qmd update
Get Files
# Get full file qmd get myproject/README.md # Get specific lines qmd get myproject/config.py:50 -l 30 # Get multiple files by glob qmd multi-get "*.yaml" -l 50 --max-bytes 10240
Output Formats
--files — paths + scores (for file discovery) --json — structured with snippets --md — markdown formatted -n 10 — limit results
Tips
Always use collections (-c name) to scope searches Run qmd update after adding new files Use qmd embed to enable vector search (one-time, takes a few minutes) Prefer qmd search --files over find for large directories
Models (auto-downloaded)
Embedding: embeddinggemma-300M Reranking: qwen3-reranker-0.6b Generation: Qwen3-0.6B All run locally — no API keys needed.
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md