원클릭으로
self-improvement
"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。"
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
메뉴
"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。"
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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
| 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| Knowledge was outdated | Log to .learnings/LEARNINGS.md with category knowledge_gap |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