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概要と使いどころ
Envie e receba mensagens criptograficamente assinadas entre agentes de IA usando o Agent Messaging Protocol (AMP). Use quando o usuário pedir para "enviar uma mensagem para um agente", "verificar caixa de entrada do agente", "mensagear outro agente", "responder a uma mensagem", "notificar um agente" ou qualquer tarefa de comunicação entre agentes.
日本語の概要は準備中です。原文の説明を表示しています。
Conversão pixel-perfeita de Figma para React usando coderio. Gera código pronto para produção (TypeScript, Vite, TailwindCSS V4) com alta fidelidade visual. Inclui tratamento robusto de erros, recuperação de checkpoints e execução simplificada via script auxiliar.
日本語の概要は準備中です。原文の説明を表示しています。
Buscar automaticamente documentação atualizada de bibliotecas/frameworks para Claude Code via API Context7
日本語の概要は準備中です。原文の説明を表示しています。
Load this skill whenever the project supports light/dark mode, colour theme switching, high-contrast mode, or responds to prefers-color-scheme. Under no circumstances hard-code colours that break in alternative themes. Absolutely always test colour contrast in both light and dark themes, and respect user OS-level colour preferences via CSS media queries.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user asks to connect an AI agent to external apps via Composio, or when Composio CLI or MCP setup fails.
日本語の概要は準備中です。原文の説明を表示しています。
Use when generating or editing draw.io/diagrams.net architecture diagrams via MCP or native XML.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user wants to configure, authenticate, or use Google NotebookLM via the nlm CLI or MCP.
日本語の概要は準備中です。原文の説明を表示しています。
Use when exposing a WordPress site to AI agents via MCP, or when WordPress MCP setup fails.
日本語の概要は準備中です。原文の説明を表示しています。
Use when auditing UI code for interface-guideline compliance (accessibility, forms, animation, images, performance, UX copy) and/or validating a deployed page against Lighthouse 95+ targets. Produces evidence-based findings (file:line + Lighthouse JSON) and turns confirmed pendencies into Draft SPECs via write-specs. Do NOT use to design/build UI from scratch (use design) or to fix findings inline — fixes go through the SPEC pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
统一 arXiv CLI 技能。通过 `arxiv <subcommand>` 完成搜索、初始化、阅读、复现、实验、部署与贡献全流程。
日本語の概要は準備中です。原文の説明を表示しています。
arXiv 科研与工程实验室（统一 CLI 版）。 在 Claude Code 中通过自然语言或 `arxiv <subcommand>` 完成论文发现、初始化、精读、复现、工程化与贡献闭环。 关键词：arXiv、paper、research、reproduce、工程化、复现、开源贡献。
日本語の概要は準備中です。原文の説明を表示しています。
Detect anomalies in procurement data using Qdrant vector operations. Covers centroid-based outlier detection, near-duplicate finding via batch recommend, amount z-score analysis, and vendor variance scoring. Use when building anomaly detection, fraud detection, or data quality features.
日本語の概要は準備中です。原文の説明を表示しています。
Improves Agent Skills via validate → rule-based eval cases → plugin-eval → prompt evals → bounded edits with held-out gates. Use when tuning skill quality, routing, or adopting Chrome/Microsoft T-named quality gates—not for bulk validate-only or SkillOpt automation.
日本語の概要は準備中です。原文の説明を表示しています。
Chooses ecosystem-native release and changelog tooling (Changesets, Melos, release-plz) plus binary distribution (GitHub Release tarballs, install.sh) when the product is an executable. Use for release CI, install.sh, versioning, CHANGELOGs, shipping MCP/CLI without clone, or meta repos that only ship skills via npx skills—not domain app tutorials.
日本語の概要は準備中です。原文の説明を表示しています。
Use between coding-agent runs (Codex, Claude Code, Cursor, Aider, etc.) to stop the project from drifting, overbuilding, or accumulating dead weight. Forces a read-only audit that classifies every active item as KEEP / DELAY / REMOVE and ends with a single, unambiguous next action. Trigger on "audit before continuing", "what should I do next", "this project got too big", "between runs", "trim scope", "stop adding stuff", or any signal that the project feels noisy and the next step is unclear. Do NOT load for trivial one-line fixes, when the next action is already obvious, or when you're mid-run and just need to keep going.
日本語の概要は準備中です。原文の説明を表示しています。
INTERNAL/HELPER skill — do NOT invoke directly from a user query. This is the shared formatter/poster used by answer-issue-questions and breakdown-issues. It formats a scope GitHub Issue body (label cc-triage-scope, used before code analysis), runs the pre-posting checklist, and executes `gh issue create`. Invoke this skill ONLY from one of the parent skills via the Skill tool, after the parent has finalized the task breakdown. If a user asks to 'create a scope issue' or similar, route them to the appropriate parent skill (/breakdown-issues for fresh breakdowns, /answer-issue-questions for derived sub-tasks) rather than invoking this one directly.
日本語の概要は準備中です。原文の説明を表示しています。
Create an aggregated Epic PR from a `cc-epic-<Issue number>` branch to the default branch. Takes the Epic Issue number as argument, assumes sub-PRs have already been merged into the epic branch, and automatically generates the PR title and description from the commit log against the base branch (including sub-PR / sub-Issue references). The PR is posted via `gh pr create` with no label and `Closes #<Epic Issue>`.
日本語の概要は準備中です。原文の説明を表示しています。
INTERNAL/HELPER skill — do NOT invoke directly from a user query. This is the shared formatter/poster used by create-issue, create-issue-from-issue-number, and update-issue. It formats an implementation-ready GitHub Issue body, runs the pre-posting checklist, executes `gh issue create` or `gh issue edit`, and optionally posts a 確認事項 follow-up comment. Invoke this skill ONLY from one of the three parent skills via the Skill tool, after the parent has completed analysis. If a user asks to 'format an issue body' or similar, route them to the appropriate parent skill (/create-issue, /create-issue-from-issue-number, or /update-issue) rather than invoking this one directly.
日本語の概要は準備中です。原文の説明を表示しています。
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback
日本語の概要は準備中です。原文の説明を表示しています。
Search the web with LLM-optimized results via the Tavily CLI. Use this skill when the user wants to search the web, find articles, look up information, get recent news, discover sources, or says "search for", "find me", "look up", "what's the latest on", "find articles about", or needs current information from the internet. Returns relevant results with content snippets, relevance scores, and metadata — optimized for LLM consumption. Supports domain filtering, time ranges, and multiple search depths.
日本語の概要は準備中です。原文の説明を表示しています。
Extract clean markdown, text, or targeted chunks from one or more known, publicly accessible webpage URLs via the Tavily CLI. Use when the URLs are already supplied or discovered and the user wants page content rather than more URLs. Do not use to find an unknown page (tavily-search), list a site's URL structure (tavily-map), bulk-extract a site section (tavily-crawl), or retrieve named platform, authenticated, cookie-dependent, or platform-native content (Agent Reach). Can process up to 20 public URLs per request.
日本語の概要は準備中です。原文の説明を表示しています。
Produce comprehensive synthesis with explicit citations from multiple ordinary public-web sources via the Tavily CLI. Use for detailed reports, comparisons, market or literature research, and questions whose answer requires multi-source web evidence rather than a quick lookup. Do not use for simple discovery (tavily-search), one known URL (tavily-extract), one-site URL discovery or bulk extraction (tavily-map/crawl), or research centered on named social, community, career, code, media, authenticated, or cross-platform sources (Agent Reach). Takes 30-120 seconds.
日本語の概要は準備中です。原文の説明を表示しています。
Crawl websites and extract content from multiple pages via the Tavily CLI. Use this skill when the user wants to crawl a site, download documentation, extract an entire docs section, bulk-extract pages, save a site as local markdown files, or says "crawl", "get all the pages", "download the docs", "extract everything under /docs", "bulk extract", or needs content from many pages on the same domain. Supports depth/breadth control, path filtering, semantic instructions, and saving each page as a local markdown file.
日本語の概要は準備中です。原文の説明を表示しています。
Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.
日本語の概要は準備中です。原文の説明を表示しています。