- 📁 references/
- 📄 SKILL.md
claude-code-tasks
Reference for Claude Code Tasks — tool parameters, status lifecycle, dependency management, and conventions
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Reference for Claude Code Tasks — tool parameters, status lifecycle, dependency management, and conventions
Aurora Skills 编写与维护指南。用于创建、重构或审核 SKILL.md,确保符合官方最小规范并兼容 Aurora 扩展与可配置轮次。
Develop, review, or refactor Go services built with Anclax, including OpenAPI specs, handlers, service/business logic, database/sqlc changes, async tasks, and Wire dependency injection.
Administer an Omni Analytics instance — manage connections, users, groups, user attributes, permissions, schedules, and schema refreshes via the REST API. Use this skill whenever someone wants to manage users or groups, set up permissions on a dashboard or folder, configure user attributes, create or modify schedules, manage database connections, refresh a schema, set up access controls, provision users, or any variant of "add a user", "give access to", "set up permissions", "who has access", "configure connection", "refresh the schema", or "schedule a delivery".
MANDATORY - INVOKE IMMEDIATELY after completing ANY development task (feature, bug fix, refactor, maintenance). Creates SR-PTD documentation for future skill extraction. This is NOT optional - every task MUST have documentation.
Analyze ~/.claude session files to find unused agent skills and reduce context token waste. Scans subagent JSONL files for injected skills and cross-references with agent responses.
通过 CDP 自动化操作小红书,支持发布图文/长文、搜索笔记、提取笔记详情与评论。
Use when approach is chosen and need a detailed implementation plan before coding. After researching, before implementer --- # Blueprinting Write detailed implementation blueprints with bite-sized tasks. Assume the implementer has zero context — document everything needed. Output is a blueprint, not code. ## When to Use - Approach chosen (from researching) - Multi-step task requiring coordination - Need to break down complex feature
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Use this skill when you need documentation for a third-party library, SDK, or API before writing code that uses it — for example, "use the OpenAI API", "call the Stripe API", "use the Anthropic SDK", "query Pinecone", or any time the user asks you to write code against an external service and you need current API reference. Fetch the docs with chub before answering, rather than relying on training knowledge. --- # Get API Docs via chub When you need documentation for a library or API, fetch it with the `chub` CLI rather than guessing from training data. This gives you the current, correct API. ## Step 1 — Find the right doc ID ```bash chub search "<library name>" --json ``` Pick the best-matching `id` from the results (e.g. `openai/chat`, `anthropic/sdk`, `stripe/api`). If nothing matches, try a broader term. ## Step 2 — Fetch the docs ```bash chub get <id> --lang py # or --lang js, --lang ts ``` Omit `--lang` if the doc has only one language variant — it will be auto-selected. ## Step 3 — Use the docs Read the fetched content and use it to write accurate code or answer the question. Do not rely on memorized API shapes — use what the docs say. ## Quick reference | Goal | Command | |------|---------| | List everything | `chub search` | | Find a doc | `chub search "stripe"` | | Exact id detail | `chub search stripe/api` | | Fetch Python docs | `chub get stripe/api --lang py` | | Fetch JS docs | `chub get openai/chat --lang js` | | Save to file | `chub get anthropic/sdk --lang py -o docs.md` | | Fetch multiple | `chub get openai/chat stripe/api --lang py` | ## Notes - `chub get` auto-detects whether an ID is a doc or skill — no subcommand needed - `chub search` with no query lists everything available - IDs are `<author>/<name>` — confirm the ID from search before fetching - If multiple languages exist and you don't pass `--lang`, chub will tell you which are available
Deep RGAA/WCAG 2.1 AA accessibility audit with auto-fix
Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: \"Index this repo\", \"Reanalyze the codebase\", \"Generate a wiki\
skill-sample/ ├─ SKILL.md ⭐ 必备:技能说明入口:用途 / 安装 / 用法 / 示例 / 依赖 ├─ manifest.sample.json ⭐ 推荐:机器可读元信息:用于索引 / 校验 / 自动填表 ├─ LICENSE.sample ⭐ 推荐:授权与使用范围:开源 / 限制 / 商用说明 ├─ scripts/ │ └─ example-run.py ✅ 可运行示例脚本:让用户导入后立刻验证“能用” ├─ assets/ │ ├─ example-formatting-guide.md 🧩 输出规范:统一排版 / 结构 / 风格 │ └─ example-template.tex 🧩 模板资源:报告/文档模板,快速生成标准产物 └─ references/ 🧩 参考资料库:方法论 / 结构指南 / 最佳实践 ├─ example-ref-structure.md 🧩 结构参考:章节框架 / 目录组织 ├─ example-ref-analysis.md 🧩 分析参考:常用套路 / 指标口径 └─ example-ref-visuals.md 🧩 视觉参考:图表规范 / 可视化建议
更多 Agent Skills 规范 详见Anthropic官方文档:https://agentskills.io/home
├─ ⭐ 必备:YAML Frontmatter(必须存在,放在文件最顶部) │ ├─ ⭐ name :技能唯一名;须符合命名规则,并建议与目录名一致 │ └─ ⭐ description :技能描述;建议包含触发关键词(便于检索/匹配) │ ├─ ✅ 可选:Frontmatter 扩展字段(规范允许,但非强制) │ ├─ ✅ license :许可证标识(也可配合单独 LICENSE 文件) │ ├─ ✅ compatibility :兼容性/运行环境要求(仅在确实有限制时写) │ ├─ ✅ metadata :任意键值对(如 author/version/source_url 等) │ └─ 🧩 allowed-tools :允许工具白名单(规范标注为 experimental) │ └─ ✅ 推荐:Markdown 正文(自由格式,但建议按“渐进式披露”组织) ├─ ✅ Overview / Purpose :一句话说明目标 + 不做什么(边界) ├─ ✅ When to use :触发条件/适用场景(让模型/用户知道何时调用) ├─ ✅ Step-by-step :步骤化流程(最好 3–6 步,保证可复现) ├─ ✅ Inputs / Outputs :输入格式、输出格式、产物位置(文件/文本/JSON等) ├─ ✅ Examples :至少 1 个可复制示例(越“能跑”越好) ├─ 🧩 Files & References :引用assets/、references/、scripts/(相对路径) ├─ 🧩 Edge cases :边界情况/限制(大文件、速率限制、失败回退) ├─ 🧩 Troubleshooting :常见错误与解决(依赖缺失、路径不对、权限问题) └─ 🧩 Safety notes :涉及联网/写文件/执行命令时给出提醒(建议写)
在 GitHub 和各类社区里,技能文件分散、难检索、也难判断是否可靠。SkillWink 把开源技能集中整理成可搜索、可筛选、可直接下载使用的技能库,让你更快找到“正好能用”的那一个。并且支持在SkillWink上直接上传skills。
我们提供 AI 语义搜索 + 关键字检索,支持 版本更新与多维排序(下载/点赞/评论/更新),并为每个技能提供 SKILL.md 开放标准与来源信息。你还可以在详情页直接 评论讨论、交流用法与改进建议。
快速上手:
支持下载与导入 skills(.zip/.skill),本地放置后即可生效:
~/.claude/skills/(Claude Code)
~/.codex/skills/(Codex CLI)
~/.gemini/skills/(Gemini CLI)
同一份 SKILL.md 跨平台通用。
你需要了解的:技能是什么、怎么运行的、怎么找、怎么导入、怎么判断可信、怎么参与共建。
这里的“skills(技能)”是一种可复用的任务能力包,通常包含 SKILL.md 说明(用途、输入输出、使用方法)以及可选的脚本/模板/示例文件。
你可以把它理解为:给 AI 助手或工具链用的“插件说明书 + 资源包”,可被反复安装与分享。
技能系统采用“渐进式披露”策略,高效管理上下文信息,具体流程如下:
发现阶段:系统启动时,智能体仅加载各技能的名称与简要描述——信息精简,足以判断其适用场景,避免冗余加载。
激活阶段:当任务需求与某技能描述匹配时,智能体才将对应的完整 SKILL.md 说明文档动态载入上下文。
执行阶段:智能体严格遵循文档指引执行操作,并按需调用关联文件或运行内置代码模块。
核心优势:该设计使智能体始终保持轻量高效,同时具备“按需扩展上下文”的能力,既保障响应速度,又确保复杂任务拥有充分执行依据。
推荐 3 种方式组合使用:
注:以上导入方式文件大小控制在10M之内。
常见路径如下(不同系统略有差异,以你本机为准):
同一份 SKILL.md 通常可以跨工具复用。你在 SkillWink 导入后,也可以查看“放置指引/安装说明”。
可以。很多技能本质是标准化说明 + 资源,只要目标工具支持读取该格式,就能共享使用。
比如:检索类技能 + 写作类技能 + 自动化脚本,形成“发现 → 处理 → 输出”的工作流。
一部分skills来源于公开的 GitHub 仓库。我们会筛掉低质量仓库(至少 2 星),并扫描基本质量指标,还有一部分是SkillWink平台的创作者独立上传的。作为使用者,在安装前应始终审查代码,对安全问题负责。
最常见原因是这几类:
我们会尽量避免。你可以用 排序 + 评论 让“好用的”更靠前: