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Agent Skill · 效率

claw-self-improvement(爪子自我提升)

claw-self-improvement 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

claw-self-improvement 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 10,065。

总安装 5,463周安装 221GitHub Stars 公开资料未说明下载 1,715核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.2.1

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:claw-self-improvement(爪子自我提升)
来源仓库:https://github.com/paul-tian/claw-self-improvement
安装命令:
openclaw skills install claw-self-improvement
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install claw-self-improvement

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

claw-self-improvement 记录错误、纠正与知识缺口,提炼重复模式至学习库。适合希望代理持续优化行为的长期训练场景。自动归档经验教训,形成可复用知识资产。安装命令:openclaw skills install claw-self-improvement;需写入 .learnings/ 目录权限。

建议定期导出学习成果供团队共享。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install claw-self-improvement;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

claw-self-improvement 怎么安装?

在终端执行 openclaw skills install claw-self-improvement。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

claw-self-improvement 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

claw-self-improvement 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

claw-self-improvement 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

claw-self-improvement 用的人多吗?

公开数据是累计安装 5,463 次,近一周安装 221 次,下载 1,715 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

claw-self-improvement 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
claw-self-improvement

爪子自我提升 · 本页

5,463—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
claw-self-improvement
description
Capture errors, corrections, knowledge gaps, better practices, and feature requests in .learnings/, then distill proven recurring patterns into .learnings/PROMOTED.md.

Claw Self-Improvement Skill

Lightweight, reversible self-improvement for agent sessions.

Use it to:

  • capture raw learnings in .learnings/
  • preserve detail in incident-style logs
  • distill only proven patterns into .learnings/PROMOTED.md
  • keep broader workspace prompt files untouched by default

After installation, follow the Setup section to initialize .learnings/, enable the hook, and restart the gateway.

Once active, the model is guided to use the learning workflow in future runs.

The learning process remains model-mediated, so results depend on model capability, instruction-following quality, and task relevance.

Quick Reference

SituationAction
Command/operation failsLog to .learnings/ERRORS.md
API/external tool failsLog to .learnings/ERRORS.md with integration details
User corrects youLog to .learnings/LEARNINGS.md
Knowledge was outdatedLog to .learnings/LEARNINGS.md
Found a better approachLog to .learnings/LEARNINGS.md
User wants missing capabilityLog to .learnings/FEATURE_REQUESTS.md
Similar to an existing entryLink with See Also; update recurrence notes if useful
Proven recurring patternDistill into .learnings/PROMOTED.md
Behavioral / workflow / tool ruleStore in .learnings/PROMOTED.md under the right category

Expected Files

This skill expects these files under ~/.openclaw/workspace/.learnings/:

  • LEARNINGS.md — raw learnings, corrections, knowledge gaps, best practices
  • ERRORS.md — failures, exceptions, unexpected tool behavior
  • FEATURE_REQUESTS.md — missing capabilities requested by the user
  • PROMOTED.md — distilled, durable rules promoted out of raw learnings

Setup

1. Install the Skill

clawhub install claw-self-improvement

2. Initialize .learnings/

Create missing starter files without overwriting existing .learnings/ history:

SKILL_DIR=~/.openclaw/workspace/skills/claw-self-improvement
mkdir -p ~/.openclaw/workspace/.learnings

[ -e ~/.openclaw/workspace/.learnings/LEARNINGS.md ] || cp "$SKILL_DIR"/assets/LEARNINGS.md ~/.openclaw/workspace/.learnings/LEARNINGS.md
[ -e ~/.openclaw/workspace/.learnings/ERRORS.md ] || cp "$SKILL_DIR"/assets/ERRORS.md ~/.openclaw/workspace/.learnings/ERRORS.md
[ -e ~/.openclaw/workspace/.learnings/FEATURE_REQUESTS.md ] || cp "$SKILL_DIR"/assets/FEATURE_REQUESTS.md ~/.openclaw/workspace/.learnings/FEATURE_REQUESTS.md
[ -e ~/.openclaw/workspace/.learnings/PROMOTED.md ] || cp "$SKILL_DIR"/assets/PROMOTED.md ~/.openclaw/workspace/.learnings/PROMOTED.md

3. Enable the Hook

To inject the reminder during agent:bootstrap, install or refresh the hook files:

SKILL_DIR=~/.openclaw/workspace/skills/claw-self-improvement
mkdir -p ~/.openclaw/hooks/claw-self-improvement
cp -R "$SKILL_DIR"/hooks/. ~/.openclaw/hooks/claw-self-improvement/
openclaw hooks enable claw-self-improvement

4. Verify

ls ~/.openclaw/workspace/.learnings
openclaw hooks list

5. (Optional) Enable Visible Learning Notices

Use the OpenClaw config gate below if you want the hook to inject a stronger instruction for visible learning notices:

{
  "skills": {
    "entries": {
      "claw-self-improvement": {
        "config": {
          "message": true
        }
      }
    }
  }
}

If you also want phrasing guidance, add the following preference block to TOOLS.md:

### claw-self-improvement
- UX preference: when you add a new entry to `.learnings/` during a user-facing reply, append one short confirmation line.
- For raw logs, say: `Noted — logged to .learnings/LEARNINGS.md.`, `Noted — logged to .learnings/ERRORS.md.` or `Noted — logged to .learnings/FEATURE_REQUESTS.md.`
- For promotions, say: `Promoted — new rule to .learnings/PROMOTED.md.`
- Keep the notice brief and only include it once per reply.
- Skip the notice when there is no user-visible reply, or when replying `NO_REPLY`.

6. Restart Gateway

openclaw gateway restart

Default Workflow

  1. Capture the raw event in the appropriate .learnings/ file.
  2. Keep the source entry detailed enough to understand later.
  3. If the idea becomes durable, recurring, or broadly useful, distill it into a short entry in .learnings/PROMOTED.md.
  4. Mark the source entry as promoted:

- **Status**: promoted - **Promoted**: .learnings/PROMOTED.md - optional: **Promotion-ID**: PRM-YYYYMMDD-XXX - optional: **Promotion-Category**: Behavioral Patterns | Workflow Improvements | Tool Gotchas | Durable Rules

When to Promote

Promote to .learnings/PROMOTED.md only when the pattern is mature enough to reuse:

  • it has recurred, or clearly will recur
  • the solution is resolved, tested, or otherwise trusted
  • it can be expressed as a short actionable rule
  • it is not just a one-off incident log
  • it is safe to keep as durable context
Learning TypePromotion Category
Behavioral patternsBehavioral Patterns
Workflow improvementsWorkflow Improvements
Tool gotchasTool Gotchas
Durable facts/rulesDurable Rules

When to Keep Raw

Keep the entry in the raw .learnings/ files when it is:

  • still unresolved or uncertain
  • highly task-specific
  • mostly useful as historical context
  • too noisy to distill into a stable rule yet

Format Reference

For exact field definitions, templates, and examples, read:

  • references/FORMAT.md

The files in assets/ are minimal starter templates to copy into .learnings/.

Removal

1. Disable the Hook

openclaw hooks disable claw-self-improvement

2. Remove the Hook Files

rm -rf ~/.openclaw/hooks/claw-self-improvement

3. Remove the Skill Files

rm -rf ~/.openclaw/workspace/skills/claw-self-improvement

4. Remove the ClawHub Lockfile Entry

If the skill was installed via ClawHub, also remove its local install record from ~/.openclaw/workspace/.clawhub/lock.json.

python3 - <<'PY'
from pathlib import Path
import json

path = Path.home() / '.openclaw/workspace/.clawhub/lock.json'
if path.exists():
    data = json.loads(path.read_text())
    skills = data.get('skills')
    if isinstance(skills, dict):
        skills.pop('claw-self-improvement', None)
    path.write_text(json.dumps(data, indent=2) + '\
')
PY

5. Optional: Remove .learnings/ Files

The .learnings/ directory is your captured history, not the hook itself. You can keep it for reference, or remove the files if you no longer want the data.

Remove only the files created for this workflow:

rm -f ~/.openclaw/workspace/.learnings/LEARNINGS.md \
      ~/.openclaw/workspace/.learnings/ERRORS.md \
      ~/.openclaw/workspace/.learnings/FEATURE_REQUESTS.md \
      ~/.openclaw/workspace/.learnings/PROMOTED.md

If the directory is empty afterward, you can remove it too:

rmdir ~/.openclaw/workspace/.learnings 2>/dev/null || true

6. Disable Visible Learning Notices if Enabled

Remove the claw-self-improvement block from TOOLS.md if you added it during installation.

7. Restart Gateway

openclaw gateway restart

After restart, future runs will no longer receive the bootstrap reminder from this skill. Existing Markdown history remains unless you explicitly delete it.

Provenance

Adapted from peterskoett/self-improving-agent.

平台分布

OpenClaw

98.66%
按下载量换算1,692

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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