Claude Code Skills · page 73

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

Use when strict TDD is explicitly requested, or when an approved atomic implementation task has already chosen TDD Route strict.

Use when the user says `aegis:update`, asks to update or upgrade an installed Aegis method-pack, wants the latest Aegis version, or asks whether Aegis is current on this host.

Use when starting a turn or checking Aegis skill routing.

Use when starting feature work that needs isolation from the current workspace, or when an implementation plan should run outside the active working tree.

Use when about to claim work is complete, fixed, passing, verified, release-ready, or ready to commit, merge, publish, or hand off.

Use when you have a spec or requirements for a multi-step task, before touching code

Use when creating new skills, editing existing skills, or verifying skills work before deployment

Use when working with YouTube — upload videos, search content, manage playlists and channels, post and moderate comments, handle subscriptions and memberships, add captions, set thumbnails, check analytics, or any YouTube Data API operation via the yutu CLI.

>

Claude Mind - Search and manage Claude's persistent memory stored in a single portable .mv2 file

Claude Mind - Search and manage Claude's persistent memory stored in a single portable .mv2 file

Manage persistent coding sessions across Claude Code, Codex, Gemini, Cursor, and OpenCode engines. Use when orchestrating multi-engine coding agents, starting/sending/stopping sessions, running multi-agent council collaborations, cross-session messaging, ultraplan deep planning, ultrareview parallel code review, autoloop autonomous workspace iteration, ultraapp building deployable web apps from a structured Q&A interview, switching models/tools at runtime, or exposing the orchestrator's 55 tools as an MCP server to Hermes Agent / Claude Desktop / Cursor / Cline / Continue / Zed / Windsurf / Goose. Triggers on "start a session", "send to session", "run council", "ultraplan", "ultrareview", "autoloop", "ultraapp", "Forge tab", "build a web app", "one-click app", "AppSpec", "autonomous iteration", "iterate until goal", "deep paper review", "auto research", "switch model", "multi-agent", "coding session", "session inbox", "cursor agent", "opencode", "mcp server", "clawo-mcp", "hermes mcp", "model context protocol".

Use when the user opens a Forge tab in the claw-orchestrator dashboard to start building a new ultraapp. Drives a structured Q&A interview that produces a complete AppSpec, then signals readiness to build.

Audit an agent skill with Semia Skill Behavior Mapping. Use when the user asks to run `semia scan <path>`, "Run Semia audit on this skill", audit a skill package, or review a skill/integration for capability, data-flow, secret, installer, network, filesystem, or policy risk.

>

Retrieves up-to-date documentation for any third-party library, framework, or API where training data may be outdated or incomplete. Use when the user asks about library usage, API references, configuration, or code generation involving specific packages. Prefer over training data when accuracy or recency matters.

使用 p5.js 创建带有种子随机性和交互式参数探索的算法艺术。当用户请求使用代码创建艺术、生成艺术、算法艺术、流场或粒子系统时使用此技能。创作原创算法艺术，而不是复制现有艺术家的作品，以避免版权侵犯。

将 Anthropic 官方品牌颜色和字体应用于任何可能需要 Anthropic 视觉风格的作品。适用于品牌颜色或样式指南、视觉格式化或公司设计标准的场景。

使用设计哲学创作精美的 .png 和 .pdf 格式视觉艺术作品。当用户要求创作海报、艺术品、设计作品或其他静态作品时，应使用此技能。创作原创视觉设计，切勿复制现有艺术家的作品以避免版权侵权。

引导用户通过结构化的工作流程来协作撰写文档。当用户想要撰写文档、提案、技术规格说明、决策文档或类似的结构化内容时使用。这个工作流程帮助用户高效地传递上下文信息、通过迭代优化内容，并验证文档对读者是否有效。当用户提到撰写文档、创建提案、起草规格说明或类似的文档任务时触发。

全面的文档创建、编辑和分析功能，支持修订追踪、批注、格式保留和文本提取。当 Claude 需要处理专业文档（.docx 文件）时使用：(1) 创建新文档，(2) 修改或编辑内容，(3) 处理修订追踪，(4) 添加批注，或其他任何文档任务

创建独特的、生产级别的高质量前端界面。当用户要求构建网页组件、页面、作品、海报或应用程序时使用此技能（例如网站、落地页、仪表盘、React 组件、HTML/CSS 布局，或对任何网页 UI 进行样式美化）。生成富有创意、精致的代码和 UI 设计，避免千篇一律的 AI 审美。

一套帮助我撰写各类内部沟通文档的资源，使用公司偏好的格式。当被要求撰写任何形式的内部沟通文档（状态报告、领导层更新、3P 更新、公司简报、常见问题解答、事件报告、项目更新等）时，Claude 应使用此技能。

构建高质量 MCP（模型上下文协议）服务器的指南，使 LLM 能够通过精心设计的工具与外部服务交互。在使用 Python (FastMCP) 或 Node/TypeScript (MCP SDK) 构建 MCP 服务器以集成外部 API 或服务时使用。

全面的 PDF 操作工具包，用于提取文本和表格、创建新 PDF、合并/拆分文档以及处理表单。当 Claude 需要填写 PDF 表单或以编程方式大规模处理、生成或分析 PDF 文档时使用。

演示文稿创建、编辑和分析。当 Claude 需要处理演示文稿（.pptx 文件）时使用，包括：(1) 创建新演示文稿，(2) 修改或编辑内容，(3) 处理版式，(4) 添加批注或演讲者备注，或其他任何演示文稿任务

创建高效技能的指南。当用户想要创建新技能（或更新现有技能）以扩展 Claude 的能力，包括专业知识、工作流程或工具集成时，应使用此技能。

用于创建针对 Slack 优化的动画 GIF 的知识和工具集。提供约束条件、验证工具和动画概念。当用户请求为 Slack 创建动画 GIF 时使用，例如"为 Slack 制作一个 X 做 Y 的 GIF"。

用于为作品应用主题样式的工具包。这些作品可以是幻灯片、文档、报告、HTML 落地页等。提供 10 个预设主题，包含颜色/字体配置，可应用于任何已创建的作品，也可以即时生成新主题。

用于使用现代前端 Web 技术（React、Tailwind CSS、shadcn/ui）创建复杂的、多组件的 claude.ai HTML artifact 的工具套件。适用于需要状态管理、路由或 shadcn/ui 组件的复杂 artifact - 不适用于简单的单文件 HTML/JSX artifact。

使用 Playwright 与本地 Web 应用程序交互及进行测试的工具包。支持验证前端功能、调试 UI 行为、捕获浏览器截图以及查看浏览器日志。

全面的电子表格创建、编辑和分析功能，支持公式、格式化、数据分析和可视化。当 Claude 需要处理电子表格（.xlsx、.xlsm、.csv、.tsv 等）时使用，包括：(1) 创建带有公式和格式的新电子表格，(2) 读取或分析数据，(3) 修改现有电子表格同时保留公式，(4) 电子表格中的数据分析和可视化，或 (5) 重新计算公式

Alive skill router — reads the current project's stack and loads/unloads skills dynamically. Invoke at session start or when project context changes.

>

>

>

>

>

>

>

>

>

Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".

Disciplined diagnosis loop for hard bugs and performance regressions. Reproduce → minimise → hypothesise → instrument → fix → regression-test. Use when user says "diagnose this" / "debug this", reports a bug, says something is broken/throwing/failing, or describes a performance regression.

Edit and improve articles by restructuring sections, improving clarity, and tightening prose. Use when user wants to edit, revise, or improve an article draft.

Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.

Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".

Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (CONTEXT.md, ADRs) inline as decisions crystallise. Use when user wants to stress-test a plan against their project's language and documented decisions.

Compact the current conversation into a handoff document for another agent to pick up.

Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.

Migrate test files from `as` type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace `as` in tests, or needs partial test data.

Search, create, and manage notes in the Obsidian vault with wikilinks and index notes. Use when user wants to find, create, or organize notes in Obsidian.

Build a throwaway prototype to flesh out a design before committing to it. Routes between two branches — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route. Use when the user wants to prototype, sanity-check a data model or state machine, mock up a UI, explore design options, or says "prototype this", "let me play with it", "try a few designs".

Interactive QA session where user reports bugs or issues conversationally, and the agent files GitHub issues. Explores the codebase in the background for context and domain language. Use when user wants to report bugs, do QA, file issues conversationally, or mentions "QA session".

Create a detailed refactor plan with tiny commits via user interview, then file it as a GitHub issue. Use when user wants to plan a refactor, create a refactoring RFC, or break a refactor into safe incremental steps.

Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/PRD asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".

Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.

Sets up an `## Agent skills` block in AGENTS.md/CLAUDE.md and `docs/agents/` so the engineering skills know this repo's issue tracker (GitHub or local markdown), triage label vocabulary, and domain doc layout. Run before first use of `to-issues`, `to-prd`, `triage`, `diagnose`, `tdd`, `improve-codebase-architecture`, or `zoom-out` — or if those skills appear to be missing context about the issue tracker, triage labels, or domain docs.

Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.

Test-driven development with red-green-refactor loop. Use when user wants to build features or fix bugs using TDD, mentions "red-green-refactor", wants integration tests, or asks for test-first development.

Break a plan, spec, or PRD into independently-grabbable issues on the project issue tracker using tracer-bullet vertical slices. Use when user wants to convert a plan into issues, create implementation tickets, or break down work into issues.

Turn the current conversation context into a PRD and publish it to the project issue tracker. Use when user wants to create a PRD from the current context.

Triage issues through a state machine driven by triage roles. Use when user wants to create an issue, triage issues, review incoming bugs or feature requests, prepare issues for an AFK agent, or manage issue workflow.

Extract a DDD-style ubiquitous language glossary from the current conversation, flagging ambiguities and proposing canonical terms. Saves to UBIQUITOUS_LANGUAGE.md. Use when user wants to define domain terms, build a glossary, harden terminology, create a ubiquitous language, or mentions "domain model" or "DDD".

Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, or build a new skill.

Shape an article as a journey of beats, choose-your-own-adventure style. The user picks a starting beat from the raw material, you write only that beat, then offer options for where to pivot next, beat by beat, until the article reaches a natural end. Use when the user has raw material and wants to assemble it as a narrative rather than an argument.

Grilling session that mines the user for fragments — heterogeneous nuggets of writing (claims, vignettes, sharp sentences, half-thoughts) — and appends them to a single document as raw material for a future article. Use when the user wants to develop ideas before imposing structure, or mentions "fragments", "ideate", or "raw material" for writing.

Take a markdown file of raw material and shape it into an article through a conversational session — drafting candidate openings, growing the piece paragraph by paragraph, arguing about format (lists, tables, callouts, quotes) at each step. Use when the user has a pile of notes, fragments, or a rough draft and wants help turning it into something publishable.

Tell the agent to zoom out and give broader context or a higher-level perspective. Use when you're unfamiliar with a section of code or need to understand how it fits into the bigger picture.

>

Operational modes (quick/standard/deep) should be first-class skills, not hard-coded branching — each mode defines its own phases, priorities, and completion criteria

Discover installable agent skills from ctx's shipped Skills.sh catalog, the Skills.sh search API, and the npx skills CLI. Use when a user asks whether a skill exists, wants to add/update a skill, or needs a repeatable procedure for finding candidate skills safely.

Keeps README badge + inline counts in sync with the real number of skills, agents, graph nodes/edges, communities, converted pipelines, and pytest tests. Runs automatically on every commit via a git pre-commit hook. Use when the README drifts from reality or before publishing a release.

Pre/post dev toolbox — named bundles of skills/agents loaded before development work and councils of experts invoked after. Run /toolbox or the toolbox.py CLI to list, activate, initialize, export, import, and validate toolboxes. Invoke at the start or end of a dev session, when setting up a new repo, or when sharing toolboxes with a team.

智能配图与 PPT 信息图生成器。支持三种模式：(1) 文章配图模式 - 分析文章内容，生成插图；(2) PPT/Slides 模式 - 生成批量信息图；(3) Cover 模式 - 生成封面图。所有模式默认生成图片，`--prompt-only` 只输出 prompt。支持 Bento Grid 功能展示图风格（--style bento）。触发词：配图、插图、PPT、slides、封面图、thumbnail、cover、bento grid、功能展示图、feature showcase。

>

Use after installing the sponsio-openclaw plugin to wire the runtime end-to-end. The plugin install only registers hooks + skills; the contract library and per-environment overrides are configured here. Bootstraps the per-plugin contract library tree at ~/.sponsio/plugins/, generates fresh starter libraries for OpenClaw plugins / MCP servers via `sponsio plugin scan` (with `--introspect` to auto-discover tool inventory; the agent then applies the prompt from `sponsio plugin prompt openclaw` to extract semantic contracts using its own LLM context — no separate API call), tunes the shipped rules to the user's actual environment, and verifies with a smoke test. Use when the user says any of "configure sponsio-openclaw", "set up sponsio-openclaw", "first-time setup of sponsio for OpenClaw", "wire up sponsio in this OpenClaw session", "add Sponsio guardrails for my OpenClaw plugins", "tune the plugin for my environment", "the plugin is too strict / too loose", "calibrate sponsio rules", "scan this OpenClaw plugin", "generate sponsio rules for my OpenClaw plugin", "I just installed Y plugin / MCP server in OpenClaw, what should sponsio block", or asks how to make sponsio-openclaw actually block things.

Install, observe, tune, enforce, and periodically refresh Sponsio — a runtime contract layer for LLM agents that blocks unsafe tool calls and scores output quality against declared rules. Use when the user wants to set up / add / install Sponsio, add guardrails or runtime safety to an LLM agent, generate or refine a sponsio.yaml, audit tool configurations for risks (data leaks, unguarded writes, missing confirmations), explain or review existing contracts, check what Sponsio would have blocked (`sponsio report`), refresh the contract library from recent traces (`sponsio refresh`), move from observe to enforce mode, or debug why a contract is (or isn't) firing. Triggers on phrases like "set up sponsio", "add sponsio", "install sponsio", "add guardrails", "monitor my agent", "harden my agent", "audit my agent", "generate contracts", "explain my sponsio.yaml", "sponsio report", "refresh contracts", "update my sponsio.yaml from traces", "flip to enforce", "false positive", "why is this rule firing".

Automate Ably tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Abstract tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Abuselpdb tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Abyssale tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Accelo tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Accredible Certificates tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Acculynx tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate ActiveCampaign tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Addresszen tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Adobe tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Adrapid tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Adyntel tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Aero Workflow tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Aeroleads tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Affinda tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Affinity tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Agencyzoom tasks via Rube MCP (Composio). Always search tools first for current schemas.

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

Automate Agent Mail tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Agentql tasks via Rube MCP (Composio). Always search tools first for current schemas.