Self-Improving Agent → ExpertPack

---

name: self-improving-to-expertpack

description: "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. 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'."

metadata:

openclaw:

homepage: https://expertpack.ai

requires:

bins:

- python3

---

# Self-Improving Agent → ExpertPack

Converts a **Self-Improving Agent** skill's `.learnings/` directory (3.8K ClawHub installs) into a properly structured **ExpertPack**.

**Supported sources:**

Usage

cd /root/.openclaw/workspace/ExpertPack/skills/self-improving-to-expertpack
python3 scripts/convert.py \
  --workspace /path/to/your/workspace \
  --output ~/expertpacks/my-learnings-pack \
  [--name "My Agent's Learnings"] \
  [--type auto|person|agent|process]

Override `.learnings/` location with `--learnings /path/to/.learnings`.

What It Produces

A complete ExpertPack conforming to schema 2.3:

- `mind/` — best practices, conventions, behavioral patterns, promoted rules

- `facts/` — knowledge gaps filled, project-specific facts

- `operational/` — error resolutions, tool gotchas, integration fixes

- `summaries/` — pattern analyses, recurring issue summaries

- `relationships/` — cross-references between related entries

**Secrets are automatically stripped** (sk-*, ghp_*, tokens, passwords). Warnings emitted for any found.

Post-Conversion Steps

1. `cd ~/expertpacks/my-learnings-pack`

2. Run the ExpertPack chunker: `python3 /path/to/expertpack/scripts/chunk.py --pack . --output ./.chunks`

3. Measure EK ratio: `python3 /path/to/expertpack/scripts/eval-ek.py .`

4. Review `overview.md` and `manifest.yaml`

5. Commit to git and publish to ClawHub

**Learn more:** https://expertpack.ai • ClawHub [expertpack skill](https://clawhub.com/skills/expertpack)

**See also:** Self-Improving Agent skill on ClawHub.