SkillHub

expertpack-export

v1.0.1

Export an OpenClaw instance's accumulated knowledge into a structured ExpertPack composite. Use when backing up an agent's identity, exporting for migration, or creating a portable knowledge snapshot. Handles auto-discovery (scanning workspace state to identify constituent packs), distillation (comp...

Sourced from ClawHub, Authored by Brian Hearn

Installation

Please help me install the skill `expertpack-export` from SkillHub official store. npx skills add brianhearn/expertpack-export

ExpertPack Export

Part of the ExpertPack framework — a structured, portable knowledge format for AI agents.

Export an OpenClaw instance into a composite ExpertPack — an agent pack (subtype: agent) as the voice, plus person/product/process packs as knowledge constituents.

Learn more: expertpack.ai · GitHub · Schema docs

Prerequisites

  • Read references/schemas-summary.md for the EP schema rules this export must follow.
  • The export writes to a target directory (default: {workspace}/export/). It does NOT modify the agent's live workspace files.

Export Flow

1. Scan

Run scripts/scan.py to inventory the workspace. It outputs a JSON manifest of discovered files, their categories, and proposed pack assignments.

python3 {skill_dir}/scripts/scan.py --workspace /root/.openclaw/workspace --output /tmp/ep-scan.json

Review the scan output. It proposes: - Which files map to which pack type (agent, person, product, process) - Which knowledge domains were detected - Confidence scores for ambiguous classifications

2. Propose

Present the proposed composite to the user: - List each proposed pack with type, slug, and key content sources - Flag ambiguous classifications for user decision - Note any gaps (e.g., "No process packs detected — skip or create stubs?")

Wait for user confirmation before proceeding.

3. Distill

Run scripts/distill.py for each proposed pack. It reads source files, extracts knowledge, deduplicates, and writes EP-compliant output.

python3 {skill_dir}/scripts/distill.py 
  --scan /tmp/ep-scan.json 
  --pack agent:easybot 
  --output /root/.openclaw/workspace/export/packs/easybot/

Repeat for each pack. The script: - Reads source files listed in the scan manifest - Extracts and classifies knowledge assertions - Deduplicates (prefers newest for conflicts) - Writes structured .md files with proper headers and frontmatter - Writes manifest.yaml per pack - Strips secrets (API keys, tokens, passwords) automatically

4. Compose

Run scripts/compose.py to generate the composite manifest and overview.

python3 {skill_dir}/scripts/compose.py 
  --scan /tmp/ep-scan.json 
  --export-dir /root/.openclaw/workspace/export/

5. Validate

Run scripts/validate.py to check the export against schema rules.

python3 {skill_dir}/scripts/validate.py --export-dir /root/.openclaw/workspace/export/

It checks: - All required files exist per schema - manifest.yaml fields are valid - No secrets leaked (scans for API key patterns) - File sizes within guidelines - Cross-references resolve

6. Review & Ship

Present the validation report and a summary of what was exported. The user decides whether to commit/push or adjust.

Important Rules

  • Never include secrets. The scan and distill scripts strip known patterns, but always review operational/tools.md and operational/infrastructure.md manually.
  • Distill, don't copy. Raw journal entries and session states should be compressed into structured knowledge. The export should be 10-20% the volume of raw state.
  • Respect privacy. Flag personal information about the user for access tier review. Default user-specific content to private access.
  • Preserve provenance. Each distilled file should note its source files in frontmatter.
  • Don't modify the live workspace. All output goes to the export directory.