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"捕获学习经验、错误和纠正信息以实现持续改进。触发：命令失败、用户纠正（"不对"、"其实..."）、能力缺失、外部 API 失败、知识过时、发现更优方案；执行重要任务前回顾经验。不适用于：无学习价值的一次性修复、系统级配置变更。"
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| name | self-improvement |
| description | "捕获学习经验、错误和纠正信息以实现持续改进。触发：命令失败、用户纠正（"不对"、"其实..."）、能力缺失、外部 API 失败、知识过时、发现更优方案；执行重要任务前回顾经验。不适用于：无学习价值的一次性修复、系统级配置变更。" |
Log learnings and errors to markdown files for continuous improvement. Coding agents can later process these into fixes, and important learnings get promoted to project memory.
| Situation | Action |
|---|---|
| Command/operation fails | Log to .learnings/ERRORS.md |
| User corrects you | Log to .learnings/LEARNINGS.md with category correction |
| User wants missing feature | Log to .learnings/FEATURE_REQUESTS.md |
| API/external tool fails | Log to .learnings/ERRORS.md with integration details |
| Knowledge was outdated | Log to .learnings/LEARNINGS.md with category knowledge_gap |
| Found better approach | Log to .learnings/LEARNINGS.md with category best_practice |
| Simplify/Harden recurring patterns | Log/update .learnings/LEARNINGS.md with Source: simplify-and-harden and a stable Pattern-Key |
| Similar to existing entry | Link with **See Also**, consider priority bump |
| Broadly applicable learning | Promote to CLAUDE.md, AGENTS.md, and/or .github/copilot-instructions.md |
| Workflow improvements | Promote to AGENTS.md (OpenClaw workspace) |
| Tool gotchas | Promote to TOOLS.md (OpenClaw workspace) |
| Behavioral patterns | Promote to SOUL.md (OpenClaw workspace) |
Automatically log when you notice:
Corrections (→ learning with correction category):
Feature Requests (→ feature request):
Knowledge Gaps (→ learning with knowledge_gap category):
Errors (→ error entry):
| Priority | When to Use |
|---|---|
critical | Blocks core functionality, data loss risk, security issue |
high | Significant impact, affects common workflows, recurring issue |
medium | Moderate impact, workaround exists |
low | Minor inconvenience, edge case, nice-to-have |
| Area | Scope |
|---|---|
frontend | UI, components, client-side code |
backend | API, services, server-side code |
infra | CI/CD, deployment, Docker, cloud |
tests | Test files, testing utilities, coverage |
docs | Documentation, comments, READMEs |
config | Configuration files, environment, settings |
| Topic | Reference |
|---|---|
| Setup (OpenClaw / Generic / Multi-Agent) | setup.md |
| Logging format (Learning / Error / Feature entries) | logging-format.md |
| Promoting to project memory | promotion.md |
| Simplify & Harden, Skill Extraction, Hooks, Gitignore | advanced-features.md |
Review .learnings/ at natural breakpoints:
# Count pending items
grep -h "Status\*\*: pending" .learnings/*.md | wc -l
# List pending high-priority items
grep -B5 "Priority\*\*: high" .learnings/*.md | grep "^## \["
# Find learnings for a specific area
grep -l "Area\*\*: backend" .learnings/*.md
Fast headless browser automation for AI agents (Rust-based with Node.js fallback). Navigate, click, type, and snapshot pages via structured commands. Triggers on browser automation, headless browsing, page snapshot. NOT for: websites needing login/cookies (use bb-browser or browser profile), or simple URL content extraction (use web_fetch/firecrawl).
Search, download, and summarize academic papers from arXiv. Built for AI/ML researchers.
将网站操作封装为 CLI 命令，覆盖 Twitter、Reddit、GitHub、知乎、B站、微博等 36 个平台 103 条命令。直接使用 OpenClaw 浏览器，无需额外扩展。触发：需要程序化操作特定平台。适用于需要与特定平台交互的场景。不适用于通用网页抓取（用 firecrawl）、无平台上下文的浏览器自动化、本地文件操作。
自动化浏览器交互：网页测试、表单填写、截图、数据提取。触发：需要导航网站、与网页交互、填写表单、截图、提取信息。需要浏览器工具可用。不适用于简单 URL 抓取（用 web_fetch）、需要完整渲染的 JS 重度站点（用 firecrawl）、批量无头自动化（用 agent-browser）。
"通过 HTTP API 控制浏览器自动化：页面导航、元素交互（点击/输入/选择）、数据提取、无障碍快照、截图、JS 执行、批量操作。触发：需要通过 API 程序化控制浏览器。不适用于：一次性简单浏览器任务（用 agent-browser）、平台特定交互（用 bb-browser）。"
适配国内 Git 平台和团队习惯的工作流规范——Gitee、Coding、极狐 GitLab、CNB 全覆盖