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// Skill profile

ExpertPack Export

Name: ExpertPack Export
Author: brianhearn

name: expertpack-export

by brianhearn · published 2026-03-22

开发工具数据处理加密货币

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★ 0

Last updated

2026-03

// Install command

$ claw add gh:brianhearn/brianhearn-expertpack-export

View on GitHub

// Full documentation

---

name: expertpack-export

description: 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 (compressing raw state into structured EP files), and packaging (writing EP-compliant packs + composite manifest). NOT for importing/hydrating from an existing EP.

metadata:

openclaw:

homepage: https://expertpack.ai

requires:

bins:

- python3

---

# ExpertPack Export

Part of the [ExpertPack](https://expertpack.ai) 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](https://expertpack.ai) · [GitHub](https://github.com/brianhearn/ExpertPack) · [Schema docs](https://expertpack.ai/#schemas)

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.

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