automation-skill intermediate active

Self Improving

First-draft answers fail on complex analysis tasks. Review passes take time you bill to the client. The openclaw self improving skill adds automatic critique loops to any response.

openclaw self-improving reflection quality iteration feedback

What breaks without openclaw self improving skill

Unreviewed first-pass answers. Complex analysis delivered without quality gates. Rewrites eating billable time.

→
Automatically critiqued and improved output × reflection loop on demand ÷ 10–15 minutes ÷ capped token spend = final answers that don't need manual review.

openclaw self improving skill — what it actually does

01
Triggers self-critique and rewrite loops by appending /reflect to any task.
02
Shows the diff between each iteration with /reflect diff for transparency.
03
Caps passes with MAX_REFLECT_PASSES to control cost on long-form tasks.
04
Best applied to complex writing or analysis — skips simple answers automatically.

Security check — openclaw self improving skill

Privacy score: 7/10 — accesses connected platform APIs only. Lock it: review OAuth scopes before install, confirm macOS, Linux; OpenClaw ≥1.0 compatibility.

Quick start — openclaw self improving skill in 10–15 minutes

Setup time: 10–15 minutes

!
You need: OpenClaw core

Install the package:

# Install via ClawhHub
clawhub install ivangdavila/self-improving
1
Install the skill
2
Append /reflect to any task to trigger a self-improvement loop
3
Set MAX_REFLECT_PASSES=2 in .env
4
Review the diff between iterations with /reflect diff

Troubleshooting openclaw self improving skill

1
1. Each pass doubles token cost — limit passes on long-form tasks
2
2. The agent may over-refine simple answers — use for complex tasks only

Compatibility & status

Works with: macOS, Linux; OpenClaw ≥1.0 intermediate Last updated: Nov 2025 ★ 145 on GitHub MIT

Official docs →

View on GitHub →

Related — more like openclaw self improving skill

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OpenClaw GitHub Actions
The OpenClaw framework's CI/CD pipeline — test runs, lint checks, and release automation you can reference or mirror.
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An OpenClaw agent that improves its own SKILL.md based on usage feedback — the self-upgrading agent pattern.

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Ship the first draft on a high-stakes task and learn the hard way. Add reflection now and gate every important output before delivery.

Get it on GitHub →