obsidian-to-expertpack
Convert an existing Obsidian Vault into an agent-ready ExpertPack. Restructures vault content for EK optimization, RAG retrieval, and OpenClaw integration. Creates a copy — source vault is never modified. Use when: a user wants to make their Obsidian Vault usable by AI agents, convert OV to EP, drop their vault into OpenClaw as a knowledge pack, or make their notes RAG-ready. Triggers on: 'obsidian to expertpack', 'obsidian vault to ep', 'convert obsidian', 'OV to EP', 'obsidian agent ready', 'make my vault ai ready', 'obsidian knowledge pack', 'obsidian rag'.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/brianhearn/obsidian-to-expertpackObsidian Vault → ExpertPack
Converts an Obsidian Vault into a structured ExpertPack — agent-ready, RAG-optimized, and OpenClaw-compatible. Source vault is never modified; output is a clean copy.
Learn more: expertpack.ai · GitHub
Companion skills: Install
expertpackfor full EP workflows. Installexpertpack-evalto measure EK ratio after conversion.
Step 1: Analyze the Vault
Before running the script, inspect the vault:
- List the top-level directories — these map to EP content sections
- Identify the pack type based on structure:
journals/,daily/,people/,mind/→ personconcepts/,workflows/,troubleshooting/,faq/→ productphases/,checklists/,decisions/,steps/→ process- Mix of the above → composite
- Note any
templates/or_templates/folders — exclude from conversion - Estimate content volume and identify the highest-EK directories
The script auto-detects type (--type auto) but verify your judgment matches before proceeding. See references/migration-guide.md for the full decision tree.
Step 2: Run the Conversion Script
python3 /path/to/ExpertPack/skills/obsidian-to-expertpack/scripts/convert.py \
/path/to/obsidian-vault \
--output ~/expertpacks/my-pack-slug \
--name "My Pack Name" \
[--type auto|person|product|process|composite] \
[--dry-run]
Always do a --dry-run first to preview what will be converted.
What the script produces:
- All
.mdfiles copied with EP frontmatter (title,type,tags,pack,created) - Inline
#hashtagsextracted into frontmattertags: - Dataview query blocks stripped (computed views, not knowledge)
[text](file.md)links converted to[[wikilinks]]manifest.yaml,overview.md,glossary.mdat pack root_index.mdin each content directory.obsidian/config copied (pack opens in Obsidian immediately)
For detailed handling of Obsidian-specific patterns (nested tags, daily notes, templates, attachments): read references/migration-guide.md.
Step 3: Validate & Fix
# Fix common issues first
python3 /path/to/ExpertPack/tools/validator/ep-doctor.py ~/expertpacks/my-pack-slug --apply
# Must reach 0 errors
python3 /path/to/ExpertPack/tools/validator/ep-validate.py ~/expertpacks/my-pack-slug --verbose
# Fix any broken wikilinks (cross-vault references)
python3 /path/to/ExpertPack/tools/validator/ep-fix-broken-wikilinks.py ~/expertpacks/my-pack-slug --apply
Do not proceed until ep-validate reports 0 errors.
Step 4: Agent-Assisted Enhancement
After validation, enhance retrieval quality:
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-brianhearn-obsidian-to-expertpack": {
"enabled": true,
"auto_update": true
}
}
}Related Skills
expertpack
Work with ExpertPacks — structured knowledge packs for AI agents. Obsidian-compatible: every pack is a valid Obsidian vault with Dataview support. Use when: (1) Loading/consuming an ExpertPack as agent context, (2) Creating or hydrating a new ExpertPack from scratch, (3) Configuring RAG for a pack, (4) Opening or authoring a pack in Obsidian. Triggers on: 'expertpack', 'expert pack', 'esoteric knowledge', 'knowledge pack', 'pack hydration', 'obsidian vault', 'obsidian pack'. For CLI tools (ep-validate, ep-doctor, ep-graph-export, ep-strip-frontmatter) install expertpack-cli. For EK ratio measurement and quality evals install expertpack-eval. For exporting an OpenClaw agent as an ExpertPack install expertpack-export. For converting an existing Obsidian Vault into an ExpertPack install obsidian-to-expertpack. For serving any ExpertPack as an MCP endpoint (expertise-as-a-service), see EP MCP at github.com/brianhearn/ep-mcp.
elite-to-expertpack
Convert Elite Longterm Memory data into a structured ExpertPack. Migrates the 5-layer memory system (SESSION-STATE hot RAM, LanceDB warm store, Git-Notes cold store, MEMORY.md curated archive, and daily journals) into ExpertPack's portable format with multi-layer retrieval, context tiers, and EK measurement. Output is Obsidian-compatible — includes YAML frontmatter on all content files and can be opened as an Obsidian vault. Use when: upgrading from Elite Longterm Memory to ExpertPack, backing up agent knowledge, or migrating to a new platform. Triggers on: 'elite to expertpack', 'convert elite memory', 'export elite memory', 'migrate elite longterm', 'upgrade memory to expertpack', 'elite memory export'.
expertpack-cli
Run ExpertPack CLI tools for validating, fixing, graphing, and deploying packs. Use when: running ep-validate, ep-doctor, ep-graph-export, ep-strip-frontmatter, or ep-fix-broken-wikilinks on a local pack. Triggers on: 'validate pack', 'ep-validate', 'ep-doctor', 'fix pack errors', 'graph export', 'ep-graph-export', 'strip frontmatter', 'deploy pack', 'ep-strip-frontmatter'. Requires the ExpertPack repo cloned locally (github.com/brianhearn/ExpertPack) — tools live in tools/validator/.
expertpack-eval
Measure ExpertPack EK (Esoteric Knowledge) ratio and run automated quality evals. Use when: (1) Measuring what percentage of a pack's content frontier LLMs cannot produce on their own, (2) Running automated eval sets against a pack-powered agent with LLM-as-judge scoring. Requires OpenRouter API key (auto-resolved from OpenClaw auth or OPENROUTER_API_KEY env var). Companion to the main expertpack skill. Triggers on: 'EK ratio', 'measure EK', 'blind probe', 'eval expertpack', 'pack quality eval', 'run eval', 'esoteric knowledge ratio'. Note: packs are Obsidian-compatible — eval results (ek_score) can be added to file frontmatter and queried in Obsidian via Dataview.
self-improving-to-expertpack
Convert Self-Improving Agent learnings into a structured ExpertPack. Migrates the .learnings/ directory (LEARNINGS.md, ERRORS.md, FEATURE_REQUESTS.md) and any promoted content from workspace files into ExpertPack's portable format with multi-layer retrieval, context tiers, and EK measurement. Output is Obsidian-compatible — includes YAML frontmatter on all content files and can be opened as an Obsidian vault. Use when: upgrading from Self-Improving Agent to ExpertPack, backing up agent learnings, exporting accumulated knowledge, or migrating to a new platform. Triggers on: 'self-improving to expertpack', 'convert self-improving', 'export learnings', 'migrate self-improving', 'learnings to expertpack', 'convert learnings to pack'.