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/.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/brianhearn/expertpack-cliExpertPack CLI
Local Python tools for validating, fixing, and deploying ExpertPacks. All tools operate on local files only — no network calls, no external dependencies beyond Python stdlib.
Tool location: ExpertPack/tools/validator/ in the cloned repo (github.com/brianhearn/ExpertPack).
Tools
- ep-validate.py — 19-check compliance validator. Must pass 0 errors before committing.
- ep-doctor.py — auto-fixes common issues (links, frontmatter, prefixes). Always dry-run first.
- ep-fix-broken-wikilinks.py — removes broken wikilinks. Safe for composites.
- ep-graph-export.py — generates
_graph.yamlfrom wikilinks +related:frontmatter. - ep-strip-frontmatter.py — produces a deploy copy with frontmatter stripped (source files untouched).
Recommended Workflow
ep-doctor dry-run → ep-doctor --apply → ep-validate → ep-strip-frontmatter (deploy copy) → commit
For full command syntax and flags: read {skill_dir}/references/cli-commands.md.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-brianhearn-expertpack-cli": {
"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-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'.
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'.