qmd-setup

QMD Setup Skill

Bootstrap @tobilu/qmd for semantic search over mnemonic memories.

Prerequisites

• Node.js >= 22 — node --version
• qmd CLI — npm i -g @tobilu/qmd

Automated Setup

Run the setup script:

bash tools/qmd-setup.sh

The script will:

1. Check prerequisites (Node.js >= 22, qmd installed)
2. Resolve MNEMONIC_ROOT from ~/.config/mnemonic/config.json
3. Discover memory roots dynamically:
   • {MNEMONIC_ROOT}/{org}/ → collection mnemonic-{org}
   • {MNEMONIC_ROOT}/default/ → collection mnemonic-default
   • .claude/mnemonic/ → collection mnemonic-project
4. Run qmd update (index) + qmd embed (embeddings)
5. Validate with qmd status and a test search

Note: First qmd embed downloads ~2 GB of GGUF models.

Manual Setup

If you prefer to set up manually:

MNEMONIC_ROOT is resolved from ~/.config/mnemonic/config.json (defaults to ~/.local/share/mnemonic). Adjust the paths below to match your config:

# 1. Register collections (replace paths with your MNEMONIC_ROOT)
qmd collection add "${MNEMONIC_ROOT:-$HOME/.local/share/mnemonic}/zircote/" --name mnemonic-zircote
qmd collection add "${MNEMONIC_ROOT:-$HOME/.local/share/mnemonic}/default/" --name mnemonic-default
qmd collection add "$(git rev-parse --show-toplevel)/.claude/mnemonic/" --name mnemonic-project  # if exists

# 2. Build index
qmd update

# 3. Generate embeddings (downloads models on first run)
qmd embed

# 4. Validate
qmd status
qmd search "test" -n 3

After Setup

Use search commands:

Command	Type	Requires
qmd search "query"	BM25 keyword	qmd update
qmd vsearch "query"	Semantic vector	qmd embed
qmd query "query"	Hybrid (BM25 + vector)	Both

Scope to a specific collection:

qmd search "auth" -c mnemonic-zircote    # org memories only
qmd search "auth" -c mnemonic-project    # this repo only
qmd search "auth"                        # all collections

Re-indexing

After adding new memories, re-index with /mnemonic:qmd-reindex or:

qmd update && qmd embed

Indexing is not automatic — run after captures or bulk imports.