openclaw-skill-growth
# OpenClaw Skill Growth
A ClawHub entry skill for the **OpenClaw Skill Growth** plugin.
It helps users discover and operate a GitHub project that turns static `SKILL.md` files into **observable, diagnosable, safely improvable capabilities**.
**Important:** this package is an entry skill and usage wrapper, not the full plugin source code.
## Best for
Use this skill when a user wants to:
- maintain a growing library of OpenClaw skills
- see which skills are repeatedly failing or underperforming
- generate reviewable improvement proposals from real run history
- preview patches before changing skill files
- apply updates with backups, version bumping, and change history
- dry-run a skill update process before writing anything
- evaluate whether a skill change actually improved outcomes
## Not for
Do **not** use this skill when the user only wants to:
- read or summarize a normal web page
- install an unrelated plugin
- optimize a workflow that has nothing to do with OpenClaw skills
- upload an entire TypeScript repository into ClawHub as if it were a single skill
## Core idea
The underlying project provides a maintenance loop for OpenClaw Skills:
**Observe → Diagnose → Propose → Apply → Evaluate**
## What the GitHub project includes
- skill registry from `SKILL.md`
- structured run observation
- diagnosis of recurring failures and weak outcomes
- improvement proposal generation
- patch preview generation
- guarded apply flows with backups
- version bumping and applied change history
- dry-run support
- evaluation record generation
- demo fixtures and CI
## Install the real project
```bash
git clone https://github.com/Shuai-DaiDai/openclaw-skill-growth.git
cd openclaw-skill-growth
npm install
npm run build
npm run test
```
## Common commands
```bash
npm run scan
npm run analyze
npm run propose
npm run report
npm run apply
npm run demo:dry-run
```
## Recommended usage path
1. Point the plugin at a skill directory.
2. Feed it run logs.
3. Run `report` or `analyze`.
4. Review diagnoses and proposals.
5. Use `demo:dry-run` first.
6. Apply only after review.
7. Compare outcomes and keep iterating.
## Why this is useful
Most skill systems stay static even while tools, environments, models, and task patterns keep changing.
This project is for users who want skill maintenance to become a **real operational loop** instead of a manual prompt-editing chore.
## GitHub source
- Repo: https://github.com/Shuai-DaiDai/openclaw-skill-growth
- Release: https://github.com/Shuai-DaiDai/openclaw-skill-growth/releases/tag/v0.1.0
## ClawHub note
This package is a **wrapper skill** around the GitHub project.
Use it to discover, install, and operate the plugin.
It is intentionally lighter than the full repository.
package for discovery and installation guidance
标签
skill
ai
