Reusable AI Agent skills for Runtime-aware web interaction — works with GitHub Copilot CLI, OpenClaw/Antigravity, Claude Code, Cursor, and any agent that supports markdown-based skill files.

可复用的 AI Agent skills，面向 Runtime-aware 网页交互 —— 适用于 GitHub Copilot CLI、OpenClaw/Antigravity、Claude Code、Cursor 等所有支持 markdown skill 的 AI Agent。

Core capabilities | 核心能力：

• Explore: adapt unfamiliar websites generically | 通用适配陌生网站
• Stabilize: turn proven flows into reusable profiles | 把验证过的流程沉淀为可复用 profile
• Execute: search, rank, and summarize across platforms using the best available runtime | 用最优执行路径做搜索、排序和摘要

This repo packages a practical browser-workflow playbook into shareable Copilot skills.

这个仓库把一套实战验证过的浏览器工作流，整理成了可以分享、安装、复用的 Copilot skills。

Cognition Layer    → LLM (Planner + Reasoner)
Execution Layer    → opencli (CLI) / fetch (API) / Browser Agent (UI)
Memory Layer       → site profiles, platform registry
Environment        → Web

The key insight: the agent should pick the best execution path per platform, not default to browser scraping.

核心洞察：Agent 应该按平台选最优执行路径，而不是默认走浏览器抓取。

if opencli supports the platform:
    use opencli (deterministic, zero LLM cost, session-reuse)
elif public API exists:
    use fetch (structured JSON, no rendering needed)
elif site is SSR and publicly accessible:
    use web_fetch or Playwright (metadata extraction)
else:
    require login-state browser or declare blocked

Tier definitions | 分级定义：

• T1 — multiple working paths; opencli preferred for consistency | 多条路径可用，opencli 优先
• T2 — opencli required; if unavailable, declare blocked | opencli 必须，无公开 fallback
• T3 — public fetch works reliably; opencli optional | 公开 fetch 可靠，opencli 可选

Instead of hardcoding every website one by one, the workflow follows a layered approach:

它的核心思路不是"每个网站都单独硬编码一遍"，而是三层方法：

1. adapt — explore and adapt generically first | 先做通用适配
2. profile — stabilize into a reusable profile only when necessary | 只有确实需要时才沉淀专用 profile
3. summary — execute search and summarization using the best available runtime | 用最优 runtime 执行搜索与摘要

If you only remember three public-safe English names, remember these:

如果你只先记住 3 个公开场景更稳妥的英文名，建议记这 3 个：

• web-adapt
• site-profile
• content-summary

If you want the shortest local English aliases, use:

如果你想用最短的本地英文别名，可以用：

• adapt
• profile
• summary

If you prefer Chinese aliases, use:

如果你更喜欢中文别名，可以用：

• 网站适配
• 站点配置
• 内容摘要

They map to the same three capability families:

它们本质上都映射到同样的三类能力：

• adapt / web-adapt / 网站适配: generic website adaptation | 通用网站适配
• profile / site-profile / 站点配置: stable external site profile workflow | 稳定站点 profile 沉淀
• summary / content-summary / 内容摘要: content search, ranking, and summarization | 内容搜索、筛选与摘要

• adapt
• profile
• summary

• 网站适配
• 站点配置
• 内容摘要

• web-adapt
• site-profile
• content-summary

• universal-web-adaptation
• external-site-profile-learning
• content-search-summarization

Use this skill when you want to make progress on an unfamiliar public website before writing any site-specific rules.

这个 skill 适合在还没有站点规则时，先用通用方法把网站跑通。

Best for:

适合场景：

• detecting search inputs, buttons, openers, and popups

• trying Enter, click, opener, or popup strategies

• deciding whether a dedicated site profile is actually needed

• 找搜索框、按钮、弹窗、新标签页

• 尝试 Enter、click、opener、popup 等策略

• 判断这个网站是否值得沉淀成专用 profile

Use this skill when a website already looks automatable and you want to turn it into a stable, repeatable profile.

这个 skill 适合把“已经能试出来”的网站，升级成“稳定可复用”的 site profile。

Best for:

适合场景：

• investigating stable selectors

• classifying failure modes

• adding config-driven site profiles

• validating heuristic and LLM-based planning flows

• 调查稳定 selector

• 分析失败模式

• 增加 config-driven site profile

• 验证 heuristic 与 LLM 规划链路

Use this skill to search public content platforms, pick the top relevant results, and summarize each item with links and short takeaways.

这个 skill 适合在公开内容平台上搜索主题，筛选 Top 结果，并输出链接和摘要。

Best for:

适合场景：

• Bilibili, YouTube, Xiaohongshu, and similar platforms

• Top 5 / Top 10 result selection

• opening detail pages to enrich metadata

• writing Chinese or English summaries

• B站、YouTube、小红书等内容平台

• Top 5 / Top 10 结果筛选

• 打开详情页补充元数据

• 输出中英文摘要

git clone https://github.com/AllenS0104/skill-browser.git
cd skill-browser
node install.js           # install 4 core skills (adapt, profile, summary, adapter-audit)

Options:

node install.js           # recommended set (4 shortest aliases)
node install.js --cn      # recommended + Chinese aliases
node install.js --all     # install all 13 aliases
node install.js --list    # list available skills
node install.js --clean   # uninstall all skill-browser skills

After install, reload in Copilot CLI:

安装后，在 Copilot CLI 中执行：

/skills reload
/skills list

Copy any skill folder into your Copilot CLI skills directory:

也可以手动拷贝单个 skill 文件夹：

# Windows
%USERPROFILE%\.copilot\skills\<skill-name>\SKILL.md

# macOS / Linux
~/.copilot/skills/<skill-name>/SKILL.md

You do not have to use an exact slash-style command every time.

不一定每次都必须写成精确的 /skill-name 命令。

Recommended invocation strength:

推荐触发强度：

1. explicit slash command such as /web-adapt — most deterministic

2. explicit skill-name mention such as use the web-adapt skill

3. natural-language task description that clearly matches the skill intent

4. 显式 /web-adapt 这类命令 —— 最稳定

5. 显式提到 skill 名，例如 use the web-adapt skill

6. 只写自然语言任务，但任务意图要足够清晰

If you want reliable routing, prefer either the slash form or the explicit skill name.

如果你想让路由更稳定，优先使用 slash 形式或明确提到 skill 名。

使用 /web-adapt 这个 skill，先通用适配这个陌生网站。

Use the /web-adapt skill to adapt this unfamiliar website before creating any site-specific rules.

Please adapt this unfamiliar public website generically first, and tell me whether it really needs a dedicated site profile.

请用 /网站适配 先通用适配这个陌生网站，再告诉我是否真的需要专用 profile。

使用 /site-profile 这个 skill，把这个网站沉淀成稳定的 site profile。

Use the /site-profile skill to turn this website into a stable external site profile.

Please turn this site into a stable reusable external profile, and validate both heuristic and Gemini planning flows.

请用 /站点配置 把这个已经跑通的网站沉淀成稳定可复用的 profile，并验证两条规划链路。

使用 /content-summary 这个 skill，帮我从 B 站找 5 个关于 AI 的视频并总结。

Use the /content-summary skill to find the top 5 Bilibili videos about AI and summarize them.

Find the top 5 Bilibili videos about AI, rank them by relevance, and summarize each item with links and confidence notes.

请用 /内容摘要 在 B 站搜索 AI 相关内容，筛选 Top 5，并输出带链接和置信度的摘要。

If you are new to this repo, use the skills in this order:

如果你是第一次使用，建议按这个顺序：

1. web-adapt
2. site-profile
3. content-summary

This creates a practical loop:

这样最容易形成一条完整闭环：

• first adapt the site

• then stabilize the knowledge into a profile

• finally reuse the workflow for search and summarization tasks

• 先让 AI 适应网站

• 再把经验沉淀成稳定规则

• 最后把流程复用到搜索与摘要任务

This repo is useful for:

这个仓库适合：

• developers extending any AI agent with browser/web skills (Copilot CLI, OpenClaw, Claude Code, Cursor, etc.)

• teams building browser automation workflows

• people productizing AI-assisted web workflows

• anyone who wants reusable website adaptation skills instead of one-off scripts

• 想给任意 AI Agent 扩展浏览器/网页能力的开发者（Copilot CLI、OpenClaw、Claude Code、Cursor 等）

• 在做浏览器自动化工作流的团队

• 想把 AI 网页工作流产品化的人

• 不想每次都临时写一次性脚本的人

• generic first, site-specific second

• prefer reusable workflows over one-off hacks

• keep profile logic config-driven when possible

• validate with real websites, not only toy examples

• 通用优先，专用其次

• 优先沉淀可复用工作流，而不是一次性 hack

• 尽量让 profile 逻辑保持 config-driven

• 尽量用真实网站验证，而不只是 demo

These skills are agent-agnostic — any AI agent that reads markdown instruction files can use them directly.

这些 skills 是不绑定特定 Agent 的 —— 任何能读取 markdown 指令文件的 AI Agent 都可以直接使用。

Our skill files are plain markdown with YAML frontmatter, containing no executable code, no agent-specific API calls, and no framework dependencies. This makes them portable across agents.

我们的 skill 文件是纯 markdown + YAML frontmatter，不包含可执行代码、不调用任何 Agent 特定 API、不依赖任何框架。因此可以跨 Agent 移植。

Why it works everywhere: our SKILL.md files are pure instructional text — they teach the agent how to think about web adaptation, site profiling, and content summarization. They don't call any agent-specific runtime. Any agent that can read markdown context can follow these instructions.

为什么到处能用：我们的 SKILL.md 是纯粹的教学文本 —— 教 Agent 如何思考网站适配、站点 profile 沉淀和内容搜索摘要。不调用任何 Agent 专属运行时。任何能读 markdown 上下文的 Agent 都能遵循这些指令。

If you want to improve the repo, add a new skill, or propose a better alias, see CONTRIBUTING.md.

如果你想继续完善仓库、补充新 skill，或者提出更好记的别名，可以先看 CONTRIBUTING.md。

This project is built on top of and deeply inspired by the following open-source work:

本项目建立在以下开源项目之上，并深受其启发：

• opencli by @jackwener — the Runtime-aware execution routing in our skills relies heavily on opencli's deterministic CLI adapters, Browser Bridge session reuse, and dual-engine (YAML + TS) architecture. opencli is the reason our content-summary skill can reliably access 50+ platforms including Bilibili, 小红书, TikTok, 知乎, and many more. We are also proud contributors to the opencli project (PR #404, PR #414).

• GitHub Copilot CLI — the skill system that makes this entire repo possible.

Thank you to all open-source contributors who make AI-powered workflows better for everyone. 🙏

感谢所有让 AI 工作流变得更好的开源贡献者。🙏