#570 by GitHub stars
weapp-tailwindcss/weapp-tailwindcss
Bring Tailwind CSS to every platform! 把 Tailwind CSS 的原子化开发体验带到全端！
History
Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.
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website/docs/ai/basics/SKILL.md
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website/i18n/en/docusaurus-plugin-content-docs/current/ai/basics/SKILL.md
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View on GitHubAdd to my skills
Verified commit 30b9e52332aa7f7da1df460bd9f17255988e2037
git clone --filter=blob:none --no-checkout https://github.com/weapp-tailwindcss/weapp-tailwindcss.git .hotskills/weapp-tailwindcss-weapp-tailwindcss && git -C .hotskills/weapp-tailwindcss-weapp-tailwindcss checkout --detach 30b9e52332aa7f7da1df460bd9f17255988e2037
# Copy each selected skill directory from .hotskills/weapp-tailwindcss-weapp-tailwindcss into .claude/skills/<skill-name>/git clone --filter=blob:none --no-checkout https://github.com/weapp-tailwindcss/weapp-tailwindcss.git .hotskills/weapp-tailwindcss-weapp-tailwindcss && git -C .hotskills/weapp-tailwindcss-weapp-tailwindcss checkout --detach 30b9e52332aa7f7da1df460bd9f17255988e2037
# Copy each selected skill directory from .hotskills/weapp-tailwindcss-weapp-tailwindcss into .agents/skills/<skill-name>/1.9kGitHub stars
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Individual skills in this repository
- weapp-tailwindcss
skills/weapp-tailwindcss - weapp-tailwindcss-custom-build
skills/weapp-tailwindcss-custom-build - weapp-tailwindcss-lynx
skills/weapp-tailwindcss-lynx - weapp-tailwindcss-migrate
skills/weapp-tailwindcss-migrate - weapp-tailwindcss-react-native
skills/weapp-tailwindcss-react-native - weapp-tailwindcss-runtime
skills/weapp-tailwindcss-runtime - weapp-tailwindcss-setup
skills/weapp-tailwindcss-setup - weapp-tailwindcss-troubleshoot
skills/weapp-tailwindcss-troubleshoot - basics
website/docs/ai/basics - basics
website/i18n/en/docusaurus-plugin-content-docs/current/ai/basics
How it works
weapp-tailwindcss
When your agent uses it
协调 weapp-tailwindcss 全端任务并提供当前安全基线。Use when 用户泛化地询问 weapp-tailwindcss、Tailwind CSS in mini-programs、Web CLI、React Native 或 ReactLynx，或尚未明确是接入、迁移、排障、运行时、自定义构建还是原生跨端集成；具体任务优先路由到对应专用 skill。
What it loads into context
Frontmatter
101 tokensAlways available to the agent
SKILL.md
818 tokensWhen the skill is activated
Reference documents
470 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 路由任务
- 不可破坏的边界
- 输出要求
Files
SKILL.mdcore2,849 bytesagents/openai.yamlasset298 bytesreferences/safety-baseline.mddoc1,606 bytes
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# weapp-tailwindcss
将泛化请求路由到专用 skill，并在专用 skill 未安装时提供不会破坏当前 v5 构建边界的最小兜底。
## 路由任务
1. 先识别任务类型、框架、构建器、目标端和当前版本。
2. 按下表优先使用专用 skill：
| 任务 | Skill |
| --- | --- |
| 新接入、框架配置、多端配置 | `$weapp-tailwindcss-setup` |
| `weapp-tw` CLI、Web CSS、单文件小程序 CSS | `$weapp-tailwindcss-setup`；已有故障转排障 skill |
| 旧项目升级、v4 到 v5 | `$weapp-tailwindcss-migrate` |weapp-tailwindcss-custom-build
When your agent uses it
将 weapp-tailwindcss 集成到自研构建器或高级流水线，覆盖 `weapp-tailwindcss/core`、generator、Vite/Webpack/Rspack/Rollup/Rolldown/Gulp 生命周期、ModuleGraph、Tailwind Scanner/source candidates、watch/HMR、source map、weapp-style-injector 和分包样式隔离。Use for custom bundlers, Node API, build adapters, asset graphs, loaders, plugins, or subpackage style injection；普通框架与 CLI 配置使用 setup skill。
What it loads into context
Frontmatter
127 tokensAlways available to the agent
SKILL.md
815 tokensWhen the skill is activated
Reference documents
2,012 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 工作流
- 不可破坏的边界
- 输出要求
Files
SKILL.mdcore3,251 bytesSKILL.mdcore3,251 bytesSKILL.mdcore3,251 bytesSKILL.mdcore3,251 bytesagents/openai.yamlasset305 bytesreferences/core-api.mddoc5,264 bytesreferences/style-injection.mddoc2,425 bytes
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# weapp-tailwindcss custom build
围绕构建图和内存产物接入核心转换，避免用输出目录扫描补偿生命周期设计缺失。
## 工作流
1. 先判断官方 Vite/Webpack/Rspack/Gulp 入口是否已满足需求；普通项目转到 `$weapp-tailwindcss-setup`。
2. 确认调用方拥有的生命周期、模块图、CSS 生成结果、asset API、watch 事件和 source map 能力。
3. 读取 [references/core-api.md](references/core-api.md) 设计 `createCompiler()` 的 root、snapshot、失效和转换时序；仅在兼容旧自动 runtime 流程时使用 `createContext()`。
4. 涉及全局/分包样式注入时再读取 [references/style-injection.md](references/style-injection.md)。
5. 在 `load`、`transform`、loader result、compilation、bundle asset 或 stream/Vinyl 对象中维护源码和产物关系。
6. watch 中把精确 dependency/module ID 交给 `invalidate()`，只重新生成返回的 root，再用新 snapshot 转换实际可达的模板和 JavaScript。
7. 让初始扫描、transform 与 HMR 共用 Scanner 的文件范围和显式外部 source，不另建宽泛 glob。
8. 通过 bundler API 写回产物和 source map，不直接修改输出目录。weapp-tailwindcss-lynx
When your agent uses it
为 ReactLynx + Rspeedy 配置 @weapp-tailwindcss/lynx 0.3.2 与 Tailwind CSS 4，覆盖 Rspeedy plugin、Lynx 原生 CSS、静态 className、theme 变量静态化、任意值、encoder 警告和 iOS/Android 运行端验证。Use for ReactLynx, Rspeedy, Lynx native CSS, arbitrary value compatibility, or Lynx bundle styling；不用于 React Native、uni-app App、Web 或普通小程序构建。
What it loads into context
Frontmatter
133 tokensAlways available to the agent
SKILL.md
642 tokensWhen the skill is activated
Reference documents
791 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 工作流
- 不可破坏的边界
- 输出要求
Files
SKILL.mdcore2,214 bytesSKILL.mdcore2,214 bytesagents/openai.yamlasset280 bytesreferences/rspeedy-integration.mddoc2,596 bytes
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# weapp-tailwindcss Lynx
通过 Rspeedy/Rspack 构建图生成 Lynx 原生运行时可消费的 Tailwind CSS，保留 ReactLynx `className`，不引入运行时样式表或 JSX 转换。
完整的 `generator`、`rspack` 和固定平台字段见站点的 [ReactLynx / Rspeedy 配置参考](https://tw.weapp.dev/zh-cn/docs/config/react-lynx)。
## 工作流
1. 确认项目是 ReactLynx + Rspeedy，而不是 React Native、uni-app App 或 Rspeedy Web。
2. 检查 `@lynx-js/rspeedy`、Tailwind CSS、Node 与 `@weapp-tailwindcss/lynx` 版本。
3. 读取 [references/rspeedy-integration.md](references/rspeedy-integration.md)，配置 `pluginLynxTailwindcss()` 和 theme + utilities CSS 入口。
4. 保持完整静态 `className` 或枚举；动态候选使用 `@source inline(...)`，不要拼接半截任意值。
5. 区分 Tailwind 已生成、Lynx encoder 已接受和真实运行端已生效三个层级。
6. 检查 Rspeedy 警告；业务 utility 被删除时调整属性或 selector，不把警告全部视为 preflight 噪声。weapp-tailwindcss-migrate
When your agent uses it
将现有 weapp-tailwindcss 项目迁移到当前 v5/Tailwind CSS 4 生成链路，处理旧 `weapp-tw patch`、旧版 CLI init/Sass/Less/目录扫描、tailwindcss-patch、官方 PostCSS/Vite 插件、相对 cssEntries、H5 disabled、Webpack 4、Node/HBuilderX/ESM 要求。Use for upgrade, migration, legacy CLI cleanup, v4-to-v5, or deprecated setup removal；不用于全新接入或单点故障排查。
What it loads into context
Frontmatter
133 tokensAlways available to the agent
SKILL.md
583 tokensWhen the skill is activated
Reference documents
1,117 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 工作流
- 迁移纪律
- 输出要求
Files
SKILL.mdcore2,107 bytesagents/openai.yamlasset284 bytesreferences/v5-migration.mddoc3,655 bytes
Read SKILL.md
# weapp-tailwindcss migrate
从职责边界和构建图迁移旧项目，不在旧配置上叠加补丁。
## 工作流
1. 读取 manifest、锁文件、Tailwind 入口、bundler 配置、PostCSS 配置和运行脚本。
2. 识别当前 weapp-tailwindcss/Tailwind/Node/HBuilderX/bundler 版本及所有生成入口。
3. 读取 [references/v5-migration.md](references/v5-migration.md)，按依赖、入口、插件、目标端、验证顺序迁移。
4. 删除旧 patch 和同一次构建中的重复 Tailwind 生成器，再注册当前 `WeappTailwindcss`。
5. 旧 CLI 用户迁移到独立 `@weapp-tailwindcss/cli` 5.x，并将 `init`、预处理器和目录扫描职责移回项目构建链。
6. 将 Tailwind 入口迁移到纯 CSS，保证实际导入，并将全部真实入口写为绝对 `cssEntries`。
7. 移除“一律禁用 H5/Web”的旧逻辑；让 generator 自动识别 Web target。
8. 用一次干净构建、一次新增任意值 class 和一次 HMR 更新验证迁移；App 目标必须检查真实运行时。weapp-tailwindcss-react-native
When your agent uses it
为 Expo/React Native 配置 @weapp-tailwindcss/react-native 0.2.5 的 Tailwind CSS 4 编译器、Metro virtual module、Babel JSX transform、style manifest、tw runtime、dark/ios/android/native variants。Use for Expo SDK 54+, React Native 0.81+, Metro, native className, Android/iOS style compilation；不用于 uni-app App、ReactLynx 或普通小程序构建。
What it loads into context
Frontmatter
108 tokensAlways available to the agent
SKILL.md
610 tokensWhen the skill is activated
Reference documents
959 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 工作流
- 边界
- 输出要求
Files
SKILL.mdcore2,271 bytesagents/openai.yamlasset305 bytesreferences/expo-integration.mddoc3,433 bytes
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# weapp-tailwindcss React Native
使用独立 Native 编译器把 Tailwind CSS 4 候选编译为 React Native style manifest，不套用小程序 CSS 产物链。
完整的 Metro 配置字段和 manifest 参考见站点的 [React Native / Expo 配置参考](https://tw.weapp.dev/zh-cn/docs/config/react-native)。
## 工作流
1. 确认项目是 Expo/React Native，而不是 uni-app App、Taro RN 或 App WebView。
2. ReactLynx/Rspeedy 项目转到 `$weapp-tailwindcss-lynx`；它保留 className 并生成原生 CSS，不使用 RN manifest。
3. 检查 Expo、React、React Native、Node 和 Tailwind CSS 版本。
4. 读取 [references/expo-integration.md](references/expo-integration.md)，建立 `global.css`、Metro 包装和类型入口。
5. Expo 默认只配置一次 `withWeappTailwindcss()`；它负责 source、manifest 和 Babel JSX transform，不维护第二份 class set。
6. 静态 `className` 走预生成 StyleSheet lookup；动态完整字符串才使用受控 `tw()`。weapp-tailwindcss-runtime
When your agent uses it
设计和排查 weapp-tailwindcss 动态 class 组合与运行时封装，覆盖 @weapp-tailwindcss/runtime、merge、cva、variants、typography、theme-transition、ui、clsx、twMerge、weappTwIgnore、escape/unescape、rpx transformer、缓存和组件 class 覆盖。Use for dynamic classes, cn helpers, variant APIs, runtime package selection, or class escaping at runtime；不用于 bundler 初始接入、React Native 或 Lynx 编译器配置。
What it loads into context
Frontmatter
123 tokensAlways available to the agent
SKILL.md
590 tokensWhen the skill is activated
Reference documents
1,189 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 工作流
- 关键约束
- 输出要求
Files
SKILL.mdcore2,244 bytesagents/openai.yamlasset309 bytesreferences/runtime-guide.mddoc4,320 bytes
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# weapp-tailwindcss runtime
使用项目提供的运行时封装保持 class 合并、转义和构建期精确候选一致。
## 工作流
1. 识别 class 来源：静态模板、完整字面量条件、组件外部覆盖、第三方透传或真正的运行时输入。
2. 读取 [references/runtime-guide.md](references/runtime-guide.md)，按任务选择最小包和 API。
3. 读取各包当前 manifest 与 exports，避免把 `merge/slim`、`merge/lite`、UI CSS 或插件入口当成主入口。
4. 优先使用完整 class 字面量或枚举；不要拼接 `bg-${color}-500` 这类半截 token。
5. 普通组件覆盖使用 `@weapp-tailwindcss/merge`；单槽 variants 使用 `@weapp-tailwindcss/cva`；多槽 recipes 使用 `@weapp-tailwindcss/variants`。
6. 自定义封装名时检查构建期可识别标识符；需要原样透传时使用 `weappTwIgnore`，不要扩大全局忽略。
7. 自定义 runtime factory、escape/unescape 或 rpx transformer 时保持纯函数边界，并验证缓存淘汰前后的等价输出。
weapp-tailwindcss-setup
When your agent uses it
为新项目配置当前 weapp-tailwindcss v5 与 Tailwind CSS 4，覆盖 uni-app、uni-app x、Taro、Mpx、原生小程序、weapp-vite、Vite、Webpack 5、Rspack、Gulp、独立 CLI 及小程序/H5/Web/App 多端。Use when setting up, installing, integrating, choosing a framework configuration, or building CSS with `weapp-tw`; 不用于旧版迁移、故障诊断、自研构建器、Expo React Native 或 ReactLynx。
What it loads into context
Frontmatter
132 tokensAlways available to the agent
SKILL.md
744 tokensWhen the skill is activated
Reference documents
1,659 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 工作流
- 配置原则
- 输出要求
Files
SKILL.mdcore2,706 bytesagents/openai.yamlasset314 bytesreferences/framework-matrix.mddoc5,521 bytes
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# weapp-tailwindcss setup
基于用户真实项目生成最小、可复制、可验证的接入配置。
## 工作流
1. 读取项目的 `package.json`、Tailwind CSS 入口、框架配置和实际运行脚本。
2. 确认框架、构建器、目标端、包版本、Node 版本；HBuilderX 项目同时确认 IDE 版本。
3. 读取 [references/framework-matrix.md](references/framework-matrix.md)，选择唯一匹配的注册位置和入口模式。
4. 如果用户只需要单个 CSS 入口、stdin/stdout 或 canonicalize，选择独立 CLI；完整小程序项目继续使用 bundler 集成。
5. bundler 项目先建立 Tailwind CSS 4 纯 CSS 入口，再让框架实际引入该入口，最后配置绝对路径 `cssEntries`。
6. 只注册一次 `WeappTailwindcss`。保留业务 PostCSS 插件，但不要在同一次受管构建中再注册 Tailwind 官方生成插件。
7. 多端项目保留 H5/Web 链路，让插件自动选择目标；只有明确完全跳过插件的独立目标才使用 `disabled`。
8. 运行开发态和目标端构建，用新增任意值 class 验证生成、转译与 HMR。weapp-tailwindcss-troubleshoot
When your agent uses it
诊断 weapp-tailwindcss 与 `weapp-tw` CLI 的样式未生成、JS/模板 class 未转译、classNameSet、@source/cssEntries、source candidates、rpx、伪类/custom variant、组件隔离、Rspack、压缩、watch/HMR、H5/Web/App/uni-app x 多端产物问题。Use for debugging, troubleshooting, CLI output failures, classes not working, broken hot reload, wrong output, or runtime compatibility；不用于新项目配置、自研 API 设计或 Lynx 专属接入。
What it loads into context
Frontmatter
135 tokensAlways available to the agent
SKILL.md
646 tokensWhen the skill is activated
Reference documents
1,751 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 诊断顺序
- 安全边界
- 输出要求
Files
SKILL.mdcore2,311 bytesSKILL.mdcore2,311 bytesSKILL.mdcore2,311 bytesagents/openai.yamlasset301 bytesreferences/symptom-matrix.mddoc6,228 bytes
Read SKILL.md
# weapp-tailwindcss troubleshoot
从生成、转译、产物到运行时逐层定位根因，避免用配置猜测掩盖症状。
## 诊断顺序
1. 收集最小复现：框架、bundler、目标端、版本、命令、原始 class、期望与实际产物。
2. 读取 [references/symptom-matrix.md](references/symptom-matrix.md)，先归类症状，再执行对应最短路径。
3. 检查 Tailwind 入口是否为纯 CSS、是否实际进入构建图、`cssEntries` 是否为绝对路径、`@source` 是否覆盖源码。
4. 检查是否存在第二个 Tailwind 生成器，或 H5/Web 被错误 `disabled`。
5. 分别验证 CSS 候选、模板/JS safe class、最终平台样式文件和真实页面；不要只看固定的 `app.wxss` 文件名。
6. watch/HMR 问题要在同一进程连续新增 class，区分首次构建成功与增量图失效。
7. CLI 问题先确认 `web`/`weapp` target、stdin/stdout、source map 与 watch 模式，不期待它改写模板或脚本。
8. 只有根因确认后才修改配置，并补一条可重复的回归验证。When your agent uses it
安装和使用按任务拆分的 weapp-tailwindcss 官方 Skill 套件。
What it loads into context
Frontmatter
98 tokensAlways available to the agent
SKILL.md
1,328 tokensWhen the skill is activated
Reference documents
32,175 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 安装完整套件
- Skill 分工
- 当前共同基线
- 本地开发安装
- 提示词示例
- 维护与验证
Files
agent.mddoc12,095 bytesai-sandbox.mddoc15,588 bytescontext-window.mddoc8,638 bytesllms-txt.mddoc10,010 bytesmcp.mddoc8,526 bytespower.mddoc14,489 bytesprompt-engineering.mddoc16,059 bytesrag.mddoc16,643 bytesskill-release.mddoc2,398 bytesskill.mdcore4,572 bytesskill.mdcore4,572 bytesskill.mdcore4,572 bytesskill.mdcore4,572 bytesskill.mdcore4,572 bytesskill.mdcore4,572 bytesspec-driven-development.mddoc9,675 bytestoken.mddoc6,852 bytesvibe-coding.mddoc8,459 bytes
Read SKILL.md
# Skill（技能系统）
`weapp-tailwindcss` 官方 Skill 面向业务项目使用者。它把当前 v5 的接入、迁移、排障和高级能力拆成独立工作流，避免一个大 Skill 同时维护所有框架与 API。
本项目使用 [`vercel-labs/skills`](https://github.com/vercel-labs/skills) 安装 Skill。`weapp-tailwindcss/weapp-tailwindcss` 是内容事实源，`sonofmagic/skills` 是面向用户的聚合安装仓库。
## 安装完整套件
```bash
npx skills add sonofmagic/skills \
--skill weapp-tailwindcss \
--skill weapp-tailwindcss-setup \
--skill weapp-tailwindcss-migrate \
--skill weapp-tailwindcss-troubleshoot \When your agent uses it
Install and use the weapp-tailwindcss official Skill Kit split into tasks.
What it loads into context
Frontmatter
93 tokensAlways available to the agent
SKILL.md
1,303 tokensWhen the skill is activated
Reference documents
29,583 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Install the complete package
- Skill division of labor
- Current common baseline
- Local development installation
- Prompt word example
- Maintenance and verification
Files
agent.mddoc13,414 bytesai-sandbox.mddoc16,113 bytescontext-window.mddoc10,012 bytesllms-txt.mddoc11,049 bytesmcp.mddoc9,358 bytespower.mddoc15,782 bytesprompt-engineering.mddoc17,530 bytesrag.mddoc17,313 bytesskill-release.mddoc2,972 bytesskill.mdcore5,563 bytesskill.mdcore5,563 bytesskill.mdcore5,563 bytesskill.mdcore5,563 bytesskill.mdcore5,563 bytesskill.mdcore5,563 bytesskill.mdcore5,563 bytesspec-driven-development.mddoc11,326 bytestoken.mddoc8,438 bytesvibe-coding.mddoc10,208 bytes
Read SKILL.md
# Skill (skill system)
`weapp-tailwindcss` official skill is for business project users. It splits the current v5 access, migration, troubleshooting and advanced capabilities into independent workflows, avoiding the need for one big Skill to maintain all frameworks and APIs at the same time.
This project uses [`vercel-labs/skills`](https://github.com/vercel-labs/skills) to install Skill. `weapp-tailwindcss/weapp-tailwindcss` is the content source of fact, and `sonofmagic/skills` is the user-facing aggregated installation repository.
## Install the complete package
```bash
npx skills add sonofmagic/skills \
--skill weapp-tailwindcss \
--skill weapp-tailwindcss-setup \
--skill weapp-tailwindcss-migrate \
--skill weapp-tailwindcss-troubleshoot \Skills included
- weapp-tailwindcss
- weapp-tailwindcss-custom-build
- weapp-tailwindcss-lynx
- weapp-tailwindcss-migrate
- weapp-tailwindcss-react-native
- weapp-tailwindcss-runtime
- weapp-tailwindcss-setup
- weapp-tailwindcss-troubleshoot
Repository facts
- License
- MIT
- Created
- Jan 17, 2022
- Last pushed
- Nov 7, 2026
- Forks
- 103
- Open issues
- 8
- Project activity
- Active
Rank over the last 12 weeks
Now #570 · best #403 · down 106 in 30 days
- #559 on Nov 2
- #563 on Nov 3
- #564 on Nov 4
- #565 on Nov 5
- #568 on Nov 6
- #570 since Nov 7
31 earlier periods
- #371 on Aug 2
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- #397 from Aug 10 to Aug 11
- #403 on Aug 16
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- #554 on Oct 31
- #556 on Nov 1
Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 7, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 17 notes
skills/weapp-tailwindcss-custom-build/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/weapp-tailwindcss-custom-build/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/weapp-tailwindcss-custom-build/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/weapp-tailwindcss-lynx/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/weapp-tailwindcss-troubleshoot/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/weapp-tailwindcss-troubleshoot/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedwebsite/docs/ai/basics/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedwebsite/docs/ai/basics/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedwebsite/docs/ai/basics/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedwebsite/docs/ai/basics/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedwebsite/docs/ai/basics/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedwebsite/i18n/en/docusaurus-plugin-content-docs/current/ai/basics/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedwebsite/i18n/en/docusaurus-plugin-content-docs/current/ai/basics/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedwebsite/i18n/en/docusaurus-plugin-content-docs/current/ai/basics/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedwebsite/i18n/en/docusaurus-plugin-content-docs/current/ai/basics/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedwebsite/i18n/en/docusaurus-plugin-content-docs/current/ai/basics/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedwebsite/i18n/en/docusaurus-plugin-content-docs/current/ai/basics/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- 2 dangerous shell commandsin 2 files: basics/agent.md:222 basics/agent.md:227
- 156 network referencesin 27 files: basics/mcp.md:29 basics/mcp.md:31 basics/llms-txt.md:392 and 24 more
- No hidden or obfuscated text
- No instruction overrides
- No executable scripts
- No access to secrets
- No requests to vote in Hot
Show all 158 signals by file
skills/weapp-tailwindcss-lynx/SKILL.md
- Network accessline 10
完整的 `generator`、`rspack` 和固定平台字段见站点的 [ReactLynx / Rspeedy 配置参考](https://tw.weapp.dev/zh-cn/docs/config/react-lynx)。
skills/weapp-tailwindcss-react-native/SKILL.md
- Network accessline 10
完整的 Metro 配置字段和 manifest 参考见站点的 [React Native / Expo 配置参考](https://tw.weapp.dev/zh-cn/docs/config/react-native)。
skills/weapp-tailwindcss-setup/references/framework-matrix.md
- Network accessline 22
| uni-app CLI Vue3 Vite | `vite.config.ts`，位于 `uni()` 后 | `weapp-tailwindcss/vite`；显式绝对 `cssEntries` | | HBuilderX Vue3 Vite | 项目 `vite.config.[jt]s` | HBuilderX 5.11+；基于配置文件位置解析绝对路径 | | uni-app x | Vite + `uniAppX()` preset | 纯 CSS 入口；Andr - Network accessline 23
| HBuilderX Vue3 Vite | 项目 `vite.config.[jt]s` | HBuilderX 5.11+；基于配置文件位置解析绝对路径 | | uni-app x | Vite + `uniAppX()` preset | 纯 CSS 入口；Android/iOS/Harmony 不是 Web target；详见 [uni-app x 配置参考](https://tw.weapp.dev/zh-cn/docs/config/uni-app-x) | | - Network accessline 24
| uni-app x | Vite + `uniAppX()` preset | 纯 CSS 入口；Android/iOS/Harmony 不是 Web target；详见 [uni-app x 配置参考](https://tw.weapp.dev/zh-cn/docs/config/uni-app-x) | - Network accessline 31
| 单 CSS 入口/脚本 | `@weapp-tailwindcss/cli` | 默认 Web；`--target weapp` 仅转换生成 CSS | | 自研构建器 | Core/generator | 改用 `$weapp-tailwindcss-custom-build` | | Expo/React Native | Metro | 改用 `$weapp-tailwindcss-react-native`，详见 [React Native / Expo 配置参考 - Network accessline 32
| 自研构建器 | Core/generator | 改用 `$weapp-tailwindcss-custom-build` | | Expo/React Native | Metro | 改用 `$weapp-tailwindcss-react-native`，详见 [React Native / Expo 配置参考](https://tw.weapp.dev/zh-cn/docs/config/react-native) | | ReactLynx/Rspeedy | - Network accessline 33
| Expo/React Native | Metro | 改用 `$weapp-tailwindcss-react-native`，详见 [React Native / Expo 配置参考](https://tw.weapp.dev/zh-cn/docs/config/react-native) | - Network accessline 34
| ReactLynx/Rspeedy | Rspeedy plugin | 改用 `$weapp-tailwindcss-lynx`，详见 [ReactLynx / Rspeedy 配置参考](https://tw.weapp.dev/zh-cn/docs/config/react-lynx) |
website/docs/ai/basics/agent.md
- Dangerous shell operationline 222
func=lambda x: eval(x), - Network accessline 393
- [ReAct: Synergizing Reasoning and Acting in Language Models](https://arxiv.org/abs/2210.03629) - Network accessline 394
- [AutoGen: Enabling Next-Gen LLM Applications](https://arxiv.org/abs/2308.08155) - Network accessline 398
- [LangChain Agents](https://python.langchain.com/docs/modules/agents/) - Network accessline 399
- [AutoGen Documentation](https://microsoft.github.io/autogen/) - Network accessline 400
- [Claude Code CLI](https://docs.anthropic.com/claude-code)
website/docs/ai/basics/ai-sandbox.md
- Network accessline 435
- [E2B](https://github.com/e2b-dev/e2b) - AI 代码执行沙箱 - Network accessline 436
- [gVisor](https://github.com/google/gvisor) - 用户空间内核 - Network accessline 437
- [Firecracker](https://github.com/firecracker-microvm/firecracker) - 微虚拟机 - Network accessline 438
- [QuickJS](https://github.com/quickjs-ng/quickjs) - 轻量级 JS 引擎 - Network accessline 442
- [Docker 安全](https://docs.docker.com/engine/security/) - Network accessline 443
- [Linux Namespace](https://man7.org/linux/man-pages/man7/namespaces.7.html) - Network accessline 444
- [seccomp](https://man7.org/linux/man-pages/man2/seccomp.2.html)
website/docs/ai/basics/context-window.md
- Network accessline 311
- [Transformer-XL](https://arxiv.org/abs/1901.02860) - 超长上下文 Transformer - Network accessline 312
- [Ring Attention](https://arxiv.org/abs/2310.01889) - 块级注意力 - Network accessline 313
- [MegaByte](https://arxiv.org/abs/2310.05414) - 百万级上下文 - Network accessline 317
- [Anthropic Context Window](https://www.anthropic.com/index/context-window) - Network accessline 318
- [Google Gemini 1.5](https://blog.google/technology/ai/google-gemini-next-generation-model-february-2025/)
website/docs/ai/basics/llms-txt.md
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## API 配置 - 基础 URL: `https://api.example.com` - Network accessline 393
- 基础 URL: `https://api.example.com` - Network accessline 459
[Credential-related source omitted] - Network accessline 461
API_URL=http://localhost:3001 - Network accessline 533
- [llmstxt.org](https://llmstxt.org) - llms.txt 官方网站 - Network accessline 534
- [llms.txt 规范](https://github.com/pydantic/llms.txt) - Network accessline 538
- [CLAUDE.md 最佳实践](https://docs.anthropic.com/claude-code/project-knowledge) - Network accessline 539
- [Cursor Rules](https://cursor.com/docs/rules)
website/docs/ai/basics/mcp.md
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> **官方文档**：[https://modelcontextprotocol.io](https://modelcontextprotocol.io) - Network accessline 30
> **GitHub**：[https://github.com/modelcontextprotocol](https://github.com/modelcontextprotocol) - Network accessline 90
| Git | `git:///repo/file` | Git 仓库内容 | | 数据库 | `postgres://query` | 数据库查询结果 | | API | `https://api/data` | HTTP API 响应 | - Network accessline 91
| 数据库 | `postgres://query` | 数据库查询结果 | | API | `https://api/data` | HTTP API 响应 | | 内存 | `memory://variable` | 运行时数据 | - Network accessline 92
| API | `https://api/data` | HTTP API 响应 | - Network accessline 153
// SSE 连接 const client = new MCPClient({ url: "http://localhost:3000/sse", - Network accessline 154
const client = new MCPClient({ url: "http://localhost:3000/sse", transport: "sse" - Network accessline 155
url: "http://localhost:3000/sse", - Network accessline 324
- [MCP 官方网站](https://modelcontextprotocol.io) - Network accessline 325
- [MCP GitHub](https://github.com/modelcontextprotocol) - Network accessline 326
- [MCP SDK 文档](https://modelcontextprotocol.io/sdk) - Network accessline 330
- [MCP 服务端列表](https://github.com/modelcontextprotocol/servers) - Network accessline 331
- [MCP 客户端列表](https://github.com/modelcontextprotocol/clients) - Network accessline 332
- [Claude Code MCP 文档](https://docs.anthropic.com/claude-code/mcp)
website/docs/ai/basics/power.md
website/docs/ai/basics/prompt-engineering.md
- Network accessline 661
- [OpenAI Prompt Engineering Guide](https://platform.openai.com/docs/guides/prompt-engineering) - Network accessline 662
- [Anthropic Prompt Library](https://docs.anthropic.com/prompt-library) - Network accessline 663
- [Google Prompting Guide](https://ai.google.dev/gemini-api/prompting-strategies) - Network accessline 667
- [Learn Prompting](https://learnprompting.org/) - Network accessline 668
- [Prompt Engineering Guide](https://www.promptingguide.ai/) - Network accessline 672
- [Awesome Prompt Engineering](https://github.com/f/awesome-prompt-engineering) - Network accessline 673
- [Prompt Examples](https://github.com/matthew-burrell/prompt-examples)
website/docs/ai/basics/rag.md
- Network accessline 567
- [Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks](https://arxiv.org/abs/2005.11401) - RAG 原始论文 - Network accessline 568
- [Building RAG-based Applications with LangChain](https://blog.langchain.dev/building-a-full-rag-application-with-langchain/) - Network accessline 572
- [LangChain](https://langchain.com) - AI 应用开发框架 - Network accessline 573
- [LlamaIndex](https://llamaindex.ai) - 数据框架 - Network accessline 574
- [Pinecone](https://pinecone.io) - 向量数据库 - Network accessline 575
- [Qdrant](https://qdrant.tech) - 开源向量数据库 - Network accessline 579
- [RAG Tutorial](https://github.com/langchain-ai/rag-from-scratch) - Network accessline 580
- [Building RAG Applications](https://www.deeplearning.ai/short-courses/building-evaluating-advanced-rag/)
website/docs/ai/basics/skill.md
- Network accessline 23
本项目使用 [`vercel-labs/skills`](https://github.com/vercel-labs/skills) 安装 Skill。`weapp-tailwindcss/weapp-tailwindcss` 是内容事实源，`sonofmagic/skills` 是面向用户的聚合安装仓库。
website/docs/ai/basics/spec-driven-development.md
- Network accessline 386
- [Cursor Composer](https://cursor.com/docs/composer) - Network accessline 387
- [OpenAPI Specification](https://swagger.io/specification/) - Network accessline 391
- [Behavior-Driven Development (BDD)](https://en.wikipedia.org/wiki/Behavior-driven_development) - Network accessline 392
- [Feature-Driven Development (FDD)](https://en.wikipedia.org/wiki/Feature-driven_development)
website/docs/ai/basics/token.md
- Network accessline 181
- [Token 计算](https://platform.openai.com/tokenizer) - Network accessline 182
- [Claude Token 计数](https://calculator.anthropic.com/) - Network accessline 293
- [OpenAI Tokenizer](https://platform.openai.com/tokenizer) - Network accessline 294
- [Anthropic Token 计数](https://calculator.anthropic.com/) - Network accessline 295
- [Google Token 计数](https://gemini.google.com/token) - Network accessline 299
- [tiktoken](https://github.com/openai/tiktoken) - OpenAI 分词器 - Network accessline 300
- [tokenizers](https://github.com/huggingface/tokenizers) - Hugging Face 分词器
website/docs/ai/basics/vibe-coding.md
- Network accessline 351
- [Spaghetti Code](https://en.wikipedia.org/wiki/Spaghetti_code) - 反面模式 - Network accessline 352
- [Technical Debt](https://en.wikipedia.org/wiki/Technical_debt) - 技术债务 - Network accessline 353
- [Prototype](https://en.wikipedia.org/wiki/Software_prototyping) - 原型开发 - Network accessline 357
- [Cursor](https://cursor.sh) - AI IDE - Network accessline 358
- [Claude Code](https://claude.ai/code) - AI CLI - Network accessline 359
- [Replit](https://replit.com) - 在线 IDE
website/i18n/en/docusaurus-plugin-content-docs/current/ai/basics/agent.md
- Dangerous shell operationline 227
func=lambda x: eval(x), - Network accessline 400
- [ReAct: Synergizing Reasoning and Acting in Language Models](https://arxiv.org/abs/2210.03629) - Network accessline 401
- [AutoGen: Enabling Next-Gen LLM Applications](https://arxiv.org/abs/2308.08155) - Network accessline 405
- [LangChain Agents](https://python.langchain.com/docs/modules/agents/) - Network accessline 406
- [AutoGen Documentation](https://microsoft.github.io/autogen/) - Network accessline 407
- [Claude Code CLI](https://docs.anthropic.com/claude-code)
website/i18n/en/docusaurus-plugin-content-docs/current/ai/basics/ai-sandbox.md
- Network accessline 445
- [E2B](https://github.com/e2b-dev/e2b) - AI code execution sandbox - Network accessline 446
- [gVisor](https://github.com/google/gvisor) - user space kernel - Network accessline 447
- [Firecracker](https://github.com/firecracker-microvm/firecracker) - Micro virtual machine - Network accessline 448
- [QuickJS](https://github.com/quickjs-ng/quickjs) - lightweight JS engine - Network accessline 452
- [Docker Security](https://docs.docker.com/engine/security/) - Network accessline 453
- [Linux Namespace](https://man7.org/linux/man-pages/man7/namespaces.7.html) - Network accessline 454
- [seccomp](https://man7.org/linux/man-pages/man2/seccomp.2.html)
website/i18n/en/docusaurus-plugin-content-docs/current/ai/basics/context-window.md
- Network accessline 312
- [Transformer-XL](https://arxiv.org/abs/1901.02860) - Extra long context Transformer - Network accessline 313
- [Ring Attention](https://arxiv.org/abs/2310.01889) - block level attention - Network accessline 314
- [MegaByte](https://arxiv.org/abs/2310.05414) - Million level context - Network accessline 318
- [Anthropic Context Window](https://www.anthropic.com/index/context-window) - Network accessline 319
- [Google Gemini 1.5](https://blog.google/technology/ai/google-gemini-next-generation-model-february-2025/)
website/i18n/en/docusaurus-plugin-content-docs/current/ai/basics/llms-txt.md
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- Base URL: `https://api.example.com` - Network accessline 492
[Credential-related source omitted] - Network accessline 494
API_URL=http://localhost:3001 - Network accessline 569
- [llmstxt.org](https://llmstxt.org) - llms.txt official website - Network accessline 570
- [llms.txt specification](https://github.com/pydantic/llms.txt) - Network accessline 574
- [CLAUDE.md Best Practices](https://docs.anthropic.com/claude-code/project-knowledge) - Network accessline 575
- [Cursor Rules](https://cursor.com/docs/rules)
website/i18n/en/docusaurus-plugin-content-docs/current/ai/basics/mcp.md
- Network accessline 31
> **Official Document**: [https://modelcontextprotocol.io](https://modelcontextprotocol.io) - Network accessline 32
> **GitHub**: [https://github.com/modelcontextprotocol](https://github.com/modelcontextprotocol) - Network accessline 92
| Git | `git:///repo/file` | Git repository content | | Database | `postgres://query` | Database query results | | API | `https://api/data` | HTTP API response | - Network accessline 93
| Database | `postgres://query` | Database query results | | API | `https://api/data` | HTTP API response | | Memory | `memory://variable` | Runtime data | - Network accessline 94
| API | `https://api/data` | HTTP API response | - Network accessline 155
// SSE connection const client = new MCPClient({ url: "http://localhost:3000/sse", - Network accessline 156
const client = new MCPClient({ url: "http://localhost:3000/sse", transport: "sse" - Network accessline 157
url: "http://localhost:3000/sse", - Network accessline 326
- [MCP official website](https://modelcontextprotocol.io) - Network accessline 327
- [MCP GitHub](https://github.com/modelcontextprotocol) - Network accessline 328
- [MCP SDK Documentation](https://modelcontextprotocol.io/sdk) - Network accessline 332
- [MCP server list](https://github.com/modelcontextprotocol/servers) - Network accessline 333
- [MCP Client List](https://github.com/modelcontextprotocol/clients) - Network accessline 334
- [Claude Code MCP Documentation](https://docs.anthropic.com/claude-code/mcp)
website/i18n/en/docusaurus-plugin-content-docs/current/ai/basics/power.md
website/i18n/en/docusaurus-plugin-content-docs/current/ai/basics/prompt-engineering.md
- Network accessline 735
- [OpenAI Prompt Engineering Guide](https://platform.openai.com/docs/guides/prompt-engineering) - Network accessline 736
- [Anthropic Prompt Library](https://docs.anthropic.com/prompt-library) - Network accessline 737
- [Google Prompting Guide](https://ai.google.dev/gemini-api/prompting-strategies) - Network accessline 741
- [Learn Prompting](https://learnprompting.org/) - Network accessline 742
- [Prompt Engineering Guide](https://www.promptingguide.ai/) - Network accessline 746
- [Awesome Prompt Engineering](https://github.com/f/awesome-prompt-engineering) - Network accessline 747
- [Prompt Examples](https://github.com/matthew-burrell/prompt-examples)
website/i18n/en/docusaurus-plugin-content-docs/current/ai/basics/rag.md
- Network accessline 573
- [Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks](https://arxiv.org/abs/2005.11401) - RAG original paper - Network accessline 574
- [Building RAG-based Applications with LangChain](https://blog.langchain.dev/building-a-full-rag-application-with-langchain/) - Network accessline 578
- [LangChain](https://langchain.com) - AI application development framework - Network accessline 579
- [LlamaIndex](https://llamaindex.ai) - data frame - Network accessline 580
- [Pinecone](https://pinecone.io) - Vector database - Network accessline 581
- [Qdrant](https://qdrant.tech) - Open source vector database - Network accessline 585
- [RAG Tutorial](https://github.com/langchain-ai/rag-from-scratch) - Network accessline 586
- [Building RAG Applications](https://www.deeplearning.ai/short-courses/building-evaluating-advanced-rag/)
website/i18n/en/docusaurus-plugin-content-docs/current/ai/basics/skill.md
- Network accessline 23
This project uses [`vercel-labs/skills`](https://github.com/vercel-labs/skills) to install Skill. `weapp-tailwindcss/weapp-tailwindcss` is the content source of fact, and `sonofmagic/skills` is the user-facing aggregated installation reposi
website/i18n/en/docusaurus-plugin-content-docs/current/ai/basics/spec-driven-development.md
- Network accessline 386
- [Cursor Composer](https://cursor.com/docs/composer) - Network accessline 387
- [OpenAPI Specification](https://swagger.io/specification/) - Network accessline 391
- [Behavior-Driven Development (BDD)](https://en.wikipedia.org/wiki/Behavior-driven_development) - Network accessline 392
- [Feature-Driven Development (FDD)](https://en.wikipedia.org/wiki/Feature-driven_development)
website/i18n/en/docusaurus-plugin-content-docs/current/ai/basics/token.md
- Network accessline 181
- [Token calculation](https://platform.openai.com/tokenizer) - Network accessline 182
- [Claude Token Count](https://calculator.anthropic.com/) - Network accessline 293
- [OpenAI Tokenizer](https://platform.openai.com/tokenizer) - Network accessline 294
- [Anthropic Token Count](https://calculator.anthropic.com/) - Network accessline 295
- [Google Token Count](https://gemini.google.com/token) - Network accessline 299
- [tiktoken](https://github.com/openai/tiktoken) - OpenAI tokenizer - Network accessline 300
- [tokenizers](https://github.com/huggingface/tokenizers) - Hugging Face tokenizer
website/i18n/en/docusaurus-plugin-content-docs/current/ai/basics/vibe-coding.md
- Network accessline 351
- [Spaghetti Code](https://en.wikipedia.org/wiki/Spaghetti_code) - Anti-pattern - Network accessline 352
- [Technical Debt](https://en.wikipedia.org/wiki/Technical_debt) - technical debt - Network accessline 353
- [Prototype](https://en.wikipedia.org/wiki/Software_prototyping) - prototype development - Network accessline 357
- [Cursor](https://cursor.sh) - AI IDE - Network accessline 358
- [Claude Code](https://claude.ai/code) - AI CLI - Network accessline 359
- [Replit](https://replit.com) - Online IDE
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Signal confidence: 158 facts
- Network access in prose of the SKILL.mdweapp-tailwindcss-lynx/SKILL.md:10Low confidence
- Network access in prose of the SKILL.mdweapp-tailwindcss-react-native/SKILL.md:10Low confidence
- Network access in prose of documentationweapp-tailwindcss-setup/references/framework-matrix.md:22Low confidence
- Network access in prose of documentationweapp-tailwindcss-setup/references/framework-matrix.md:23Low confidence
- Network access in prose of documentationweapp-tailwindcss-setup/references/framework-matrix.md:24Low confidence
- Network access in prose of documentationweapp-tailwindcss-setup/references/framework-matrix.md:31Low confidence
- Network access in prose of documentationweapp-tailwindcss-setup/references/framework-matrix.md:32Low confidence
- Network access in prose of documentationweapp-tailwindcss-setup/references/framework-matrix.md:33Low confidence
- Network access in prose of documentationweapp-tailwindcss-setup/references/framework-matrix.md:34Low confidence
- Dangerous shell operation in code of documentationbasics/agent.md:222Low confidence
- Network access in prose of documentationbasics/agent.md:393Low confidence
- Network access in prose of documentationbasics/agent.md:394Low confidence
- Network access in prose of documentationbasics/agent.md:398Low confidence
- Network access in prose of documentationbasics/agent.md:399Low confidence
- Network access in prose of documentationbasics/agent.md:400Low confidence
- Network access in prose of documentationbasics/ai-sandbox.md:435Low confidence
- Network access in prose of documentationbasics/ai-sandbox.md:436Low confidence
- Network access in prose of documentationbasics/ai-sandbox.md:437Low confidence
- Network access in prose of documentationbasics/ai-sandbox.md:438Low confidence
- Network access in prose of documentationbasics/ai-sandbox.md:442Low confidence
- Network access in prose of documentationbasics/ai-sandbox.md:443Low confidence
- Network access in prose of documentationbasics/ai-sandbox.md:444Low confidence
- Network access in prose of documentationbasics/context-window.md:311Low confidence
- Network access in prose of documentationbasics/context-window.md:312Low confidence
- Network access in prose of documentationbasics/context-window.md:313Low confidence
- Network access in prose of documentationbasics/context-window.md:317Low confidence
- Network access in prose of documentationbasics/context-window.md:318Low confidence
- Network access in prose of documentationbasics/llms-txt.md:392Low confidence
- Network access in prose of documentationbasics/llms-txt.md:393Low confidence
- Network access in code of documentationbasics/llms-txt.md:459Low confidence
- Network access in code of documentationbasics/llms-txt.md:461Low confidence
- Network access in prose of documentationbasics/llms-txt.md:533Low confidence
- Network access in prose of documentationbasics/llms-txt.md:534Low confidence
- Network access in prose of documentationbasics/llms-txt.md:538Low confidence
- Network access in prose of documentationbasics/llms-txt.md:539Low confidence
- Network access in prose of documentationbasics/mcp.md:29Low confidence
- Network access in prose of documentationbasics/mcp.md:30Low confidence
- Network access in prose of documentationbasics/mcp.md:90Low confidence
- Network access in prose of documentationbasics/mcp.md:91Low confidence
- Network access in prose of documentationbasics/mcp.md:92Low confidence
- Network access in code of documentationbasics/mcp.md:153Low confidence
- Network access in code of documentationbasics/mcp.md:154Low confidence
- Network access in code of documentationbasics/mcp.md:155Low confidence
- Network access in prose of documentationbasics/mcp.md:324Low confidence
- Network access in prose of documentationbasics/mcp.md:325Low confidence
- Network access in prose of documentationbasics/mcp.md:326Low confidence
- Network access in prose of documentationbasics/mcp.md:330Low confidence
- Network access in prose of documentationbasics/mcp.md:331Low confidence
- Network access in prose of documentationbasics/mcp.md:332Low confidence
- Network access in prose of documentationbasics/power.md:505Low confidence
and 108 more
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Native | Path .claude/skills/playwright-cli/SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Native | Manifest AGENTS.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md skills/weapp-tailwindcss/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md skills/weapp-tailwindcss/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md skills/weapp-tailwindcss/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md skills/weapp-tailwindcss/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
Explore alternatives and comparisons
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