feat(skills): add qmd skill for vault search and memory, deprecate SQLite memory
- Add skills/qmd/SKILL.md: qmd-based knowledge retrieval and memory system - Search workflows: BM25, vector semantic, hybrid+rerank modes - Memory write patterns via direct filesystem writes to ~/CODEX/80-memory/ - Session summary workflow for capturing work at session end - Auto-recall pattern for context injection at session start - Deprecate skills/memory/SKILL.md: SQLite-based memory replaced by qmd - qmd provides superior hybrid search over entire vault - No external OpenAI embedding dependency - Uses local GPU (7900 XTX) for embeddings and reranking - Update skills/obsidian/SKILL.md: remove memory search sections - Memory search now handled by qmd skill - Keep CRUD operations and daily notes functionality - Update integration table to reference qmd Related: CODEX vault updated with memory template, session-summary template, and sessions directory. qmd collections and context annotations configured.
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m3tm3re
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skills/qmd/SKILL.md
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skills/qmd/SKILL.md
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---
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name: qmd
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description: "Knowledge retrieval and memory system via qmd (Query Markup Documents). Use when: (1) Searching knowledge vault for relevant context, (2) Storing memories, decisions, preferences from sessions, (3) Auto-recall of relevant context at session start, (4) Writing session summaries, (5) Querying past decisions or project context. Triggers: 'remember', 'recall', 'search vault', 'what did we decide', 'session summary', 'qmd', 'knowledge', 'memory', 'context'."
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compatibility: opencode
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---
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# qmd
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Primary retrieval + memory workflow using qmd v2.0.1 over the already-indexed `qmd://CODEX/` vault.
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## Prerequisites
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- `qmd` installed globally and available in `PATH`
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- `CODEX` collection configured and indexed
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- Vault at `~/CODEX/` with memory folders under `80-memory/`
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Verify runtime state:
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```bash
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qmd status
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```
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## Search Workflows
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Default to `qmd query` unless a narrower mode is clearly better.
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### 1) BM25 Keyword Search (Fast)
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Use when exact terms, filenames, tags, or known phrases are likely present.
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```bash
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qmd search "query"
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qmd search "query" --md --full -n 5
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qmd search "query" --json -n 10
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qmd search "query" -c memory --md -n 5
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qmd search "query" --min-score 0.3 --all --files
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```
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### 2) Vector Semantic Search
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Use when the concept is known but wording is uncertain.
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```bash
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qmd vsearch "query"
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qmd vsearch "query" --md --full -n 5
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qmd vsearch "query" --json -n 10
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qmd vsearch "query" -c memory --md -n 5
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qmd vsearch "query" --min-score 0.3 --all --files
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```
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### 3) Hybrid + Rerank (Best Quality, Default)
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Use for high-confidence retrieval, ambiguous queries, and session bootstrap.
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```bash
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qmd query "query"
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qmd query "query" --md --full -n 5
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qmd query "query" --json -n 10
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qmd query "query" -c memory --md -n 5
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qmd query "query" --min-score 0.3 --all --files
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```
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## Document Retrieval
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Use retrieval commands after search to pull exact documents.
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```bash
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qmd get "path/to/file.md"
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qmd get "#docid"
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qmd multi-get "80-memory/sessions/*.md"
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qmd multi-get "file1.md, file2.md"
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```
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## Memory Write Workflows
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qmd is read-only. Write memory notes directly to filesystem, then re-index.
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Memory note file pattern:
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```bash
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~/CODEX/80-memory/{category}/{slug}.md
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```
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Required frontmatter:
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```yaml
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---
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type: memory
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category: preference # preference | fact | decision | entity | other
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source: opencode # opencode | manual
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importance: medium # critical | high | medium | low
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session: # opencode session ID for traceability (optional)
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project: # [[Project Name]] if project-specific (optional)
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created: YYYY-MM-DD
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updated: YYYY-MM-DD
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tags:
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- memory
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- preference
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---
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```
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Content template:
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- `# {Title}`
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- `## Content` → concise factual memory
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- `## Context` → when/why captured
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- `## Related` → WikiLinks to related notes
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Category decision guide:
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| Signal | Category | Example |
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|--------|----------|---------|
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| "I prefer...", "I like...", "Always use..." | preference | Prefers Nix over Docker |
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| "We use...", "The stack is...", "My role is..." | fact | Tech stack is NixOS + TypeScript |
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| "Let's go with...", "We decided...", reasoning about choices | decision | Chose qmd for memory retrieval |
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| Person name, org, system, API | entity | Tobi Lütke - Shopify CEO |
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| Doesn't fit above | other | |
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## Session Summary Workflow
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Write at session end or when explicitly requested.
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Session file pattern:
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```bash
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~/CODEX/80-memory/sessions/YYYY-MM-DD-{slug}.md
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```
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Frontmatter:
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```yaml
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---
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type: session-summary
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created: YYYY-MM-DD
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session: # opencode session ID
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project: # [[Project Name]]
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duration: # approximate
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tags:
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- memory
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- session
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---
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```
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Content template:
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- `# Session: {Brief Description}`
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- `## What Was Done` → completed work bullets
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- `## Decisions Made` → decision + short rationale (+ WikiLink if significant)
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- `## Open Questions` → unresolved items
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- `## Files Changed` → key file list + one-line deltas
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- `## Next Steps` → next executable actions
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## Auto-Recall Workflow
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At session start, proactively retrieve context before deep work.
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1. Determine project/task context from working directory, git repo, and user goal.
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2. Retrieve general relevant knowledge:
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```bash
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qmd query "{relevant context}" --md --full -n 3 -c CODEX
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```
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3. Retrieve project memory context:
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```bash
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qmd query "{project name}" --md -n 3 -c memory
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```
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4. Inject only relevant excerpts; cap recall to ~2000 tokens.
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This workflow is advisory and should be run proactively by the agent.
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## Re-indexing
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After creating or editing memory/session files, update index for immediate recall.
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```bash
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qmd update
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```
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Indexing also runs periodically; use manual update when immediate searchability is required.
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## Integration with Other Skills
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| From | To | Pattern |
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|------|----|---------|
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| qmd search | Any skill | Retrieve relevant context before starting work |
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| brainstorming | qmd write | Save brainstorm decisions as memory notes |
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| Any session | qmd write | Capture session summaries at session end |
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| qmd search | obsidian | Find note to update, then use Obsidian skill for CRUD |
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