菜单
Add QMD (Query Markup Documents) as an advanced memory search backend. Upgrades the built-in grep-based memory_search with hybrid BM25 + vector semantic search + LLM re-ranking. Fully local, no API keys needed. Triggers on "add qmd", "qmd memory", "semantic memory search", "upgrade memory".
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/sbusso/claudeclaw --skill add-qmd命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Add /compact command for manual context compaction. Solves context rot in long sessions by forwarding the SDK's built-in /compact slash command. Main-group or trusted sender only.
Add image vision to ClaudeClaw agents. Resizes and processes WhatsApp image attachments, then sends them to Claude as multimodal content blocks.
Add Ollama MCP server so the container agent can call local models for cheaper/faster tasks like summarization, translation, or general queries.
基于 SOC 职业分类
正在显示 SKILL.md
| name | add-qmd |
| description | Add QMD (Query Markup Documents) as an advanced memory search backend. Upgrades the built-in grep-based memory_search with hybrid BM25 + vector semantic search + LLM re-ranking. Fully local, no API keys needed. Triggers on "add qmd", "qmd memory", "semantic memory search", "upgrade memory". |
QMD (https://github.com/tobi/qmd) is a local search engine for markdown files. It combines BM25 keyword search, vector semantic search, and LLM re-ranking — all running on-device via node-llama-cpp with GGUF models.
This skill upgrades ClaudeClaw's built-in grep-based memory_search MCP tool with QMD's hybrid search, giving agents much better recall across large memory collections.
groups/*/memory/, groups/*/CLAUDE.md, groups/*/conversations/)memory_search in agent/runner/src/ipc-mcp-stdio.ts with QMD's APIQMD exposes its search as an MCP server. Add to the agent runner's mcpServers config:
qmd: {
command: 'npx',
args: ['qmd', 'mcp', '--collection', collectionPath],
env: {},
}
QMD indexes markdown files into a local SQLite database. The collection should be configured per-group:
# Index a group's memory
qmd index --collection groups/{folder}/.qmd groups/{folder}/memory/ groups/{folder}/CLAUDE.md groups/{folder}/conversations/
Replace the grep-based memory_search tool body with a call to QMD's MCP:
// Before (grep-based):
const results = grepFiles(args.query, allFiles);
// After (QMD):
// Use the qmd MCP server's search tool
// Returns semantically ranked results with relevance scores
If QMD is not installed or indexing fails, fall back to the built-in grep-based search. This ensures memory tools always work even without QMD.
This skill is a specification for future implementation. The built-in grep-based memory tools work without QMD. Run this skill when you want to upgrade to semantic search.