Qmd extended

Skill aAAaqwq/AGI-Super-Team/skills/qmd-extended

14 AI executives powered by legendary minds (Musk/Buffett/Simons/Feynman) — deploy your virtual C-Suite in one git clone.

Install

npx -y skills add aAAaqwq/AGI-Super-Team --skill qmd-extended

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What its author says it does

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Extended QMD knowledge base with multi-backend embedding (Google AI Studio / Ollama / local). Use when managing QMD embeddings, switching backends, testing embedding quality, re-indexing, or troubleshooting QMD vector search. Triggers on "qmd embed", "embedding backend", "切换embedding", "embedding测试", "re-embed", "知识库embedding", "qmd扩展". For general QMD queries and knowledge retrieval, use memory-router skill instead.

SKILL.md

3.1 KB, as published. Nobody here has run it

QMD Extended — Multi-Backend Embedding Manager

Architecture

QMD's llm.js is patched (v2) to support three embedding backends:

QMD_EMBED_BACKEND=google|ollama|local

google  → Google AI Studio gemini-embedding-001 (3072-dim, free)
ollama  → Mac Studio Ollama qwen3-embedding:8b (4096-dim, LAN)
local   → node-llama-cpp embeddinggemma-300M (768-dim, CPU)

Auto-detect priority: google → ollama → local

Quick Commands

Test current backend

bash ~/clawd/skills/qmd-extended/scripts/embed-test.sh        # test current
bash ~/clawd/skills/qmd-extended/scripts/embed-test.sh all     # test all backends
bash ~/clawd/skills/qmd-extended/scripts/embed-test.sh google "自定义文本"

Switch backend

bash ~/clawd/skills/qmd-extended/scripts/embed-switch.sh google   # switch to Google
bash ~/clawd/skills/qmd-extended/scripts/embed-switch.sh ollama   # switch to Ollama
# ⚠️ After switching: qmd embed -f  (required — dimensions change)

Check status

bash ~/clawd/skills/qmd-extended/scripts/embed-status.sh

Environment Variables

Var	Default	Purpose
`QMD_EMBED_BACKEND`	auto	Force backend: `google`/`ollama`/`local`
`QMD_GOOGLE_EMBED_KEY`	via `pass`	Google API key (auto-read from pass store)
`QMD_GOOGLE_EMBED_MODEL`	`gemini-embedding-001`	Google model name
`QMD_OLLAMA_EMBED_URL`	—	Ollama host (e.g. `http://100.65.110.126:11434`)
`QMD_OLLAMA_EMBED_MODEL`	`qwen3-embedding:8b`	Ollama model name

Patch Location

/home/aa/.npm-global/lib/node_modules/@tobilu/qmd/dist/llm.js
Backup: llm.js.bak (original pre-patch)

⚠️ npm update @tobilu/qmd will overwrite the patch. Re-apply from backup or re-run the patch script.

Backend Details

See references/backends.md for API docs, dimensions, rate limits, and comparison table.

Re-Embedding Workflow

When switching backends or after fresh install:

# 1. Switch backend
export QMD_EMBED_BACKEND=google

# 2. Force re-embed all collections
qmd embed -f

# 3. Verify
qmd status
bash ~/clawd/skills/qmd-extended/scripts/embed-status.sh

Troubleshooting

Issue	Fix
`qmd embed` hangs at compile	First run builds node-llama-cpp. Wait ~10 min. Only affects `local` backend.
`Google embed error: 429`	Rate limit hit. Wait 60s or reduce batch size.
`Ollama embed: offline`	Mac Studio sleeping. Wake it or switch to `google`.
Dimension mismatch in search	Backend changed without re-embed. Run `qmd embed -f`.
`pass: api/google-ai-studio not found`	Set `QMD_GOOGLE_EMBED_KEY` env var directly instead.