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概要と使いどころ
Turn an audio track into a timed `## Scene N` script: song sections → per-scene durations, auto mode adds mood + lip-sync lines. Triggers 'music video', 'from the song', 'cut to the beat'.
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 hardening a Linux host you operate — SSH posture, a default-deny firewall baseline, and unattended security upgrades, each verified on the box rather than assumed from a config 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。
Use for deep Symfony project analysis: kernel/bootstrap, container wiring, routing/request flow, Doctrine, security, Messenger, and Symfony-specific failure patterns.
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 for deep Node.js / Express project analysis: boot flow, middleware order, async behavior, data layer, auth/security, and Node-specific runtime failure patterns.
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 running the package's skill linter against all skills and rules to validate frontmatter, required sections, and execution metadata.
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。
When turning a locked still + blueprint into a provider-tuned motion prompt — camera, primary + secondary motion, physics, native-audio sync. Triggers 'motion prompt for Veo/Kling/Sora'.
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。
Wire up DevContainers / GitHub Codespaces — `devcontainer.json`, container images, secrets, VS Code features, port forwarding. NOT for tuning Copilot itself (use `copilot-config`).
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 says "review this", "check my code", or wants feedback on changes. Reviews for correctness, quality, security, and coding standards.
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 for an adversarial red-team / blue-team / auditor review of an AI agent's CONFIG + behaviour (rules, skills, MCP, hooks, permissions) — attack-chain → defensive-gap list, not a code audit.
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 working with AWS resources — ECS Fargate, ECR, EFS, Secrets Manager, gomplate templates, multi-env deployments — even when the user says 'deploy to staging' without naming AWS.
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 polling external AIs (OpenAI, Anthropic) outside the host session for a neutral second opinion on a roadmap, diff, prompt, or file set — or 'cross-check with another model'.
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。
Crie designs de websites premium com qualidade Awwwards como componentes React (.jsx) que pareçam ter sido construídos por uma agência de primeira linha cobrando R$250k+ por projeto. Use esta skill sempre que o usuário pedir um website, landing page, portfólio, ou componente web que deve parecer caro, premium, luxo, editorial, high-end, ou de qualidade agência. Também dispare quando o usuário mencionar Awwwards, FWA, design premiado, ou referenciar marcas como Apple, Aesop, Bottega Veneta, Stripe, ou qualquer marca luxury/fashion/design-forward. Dispare quando o usuário disser coisas como "faça parecer profissional", "faça parecer caro", "quero que fique realmente bom", "design de alta qualidade", "não genérico", ou expressar insatisfação com aesthetics típicos de websites gerados por IA. NÃO dispare para dashboards, admin panels, ferramentas internas, ou UI funcional onde aesthetics são secundárias à utilidade — a skill padrão frontend-design cuida disso.
日本語の概要は準備中です。原文の説明を表示しています。
Guia completo de desenvolvimento backend para microserviços Node.js/Express/TypeScript. Use ao criar routes, controllers, services, repositories, middleware ou trabalhar com Express APIs, acesso a banco de dados com Prisma, rastreamento de erros com Sentry, validação com Zod, unifiedConfig, injeção de dependências ou padrões assíncronos. Cobre arquitetura em camadas (routes → controllers → services → repositories), padrão BaseController, tratamento de erros, monitoramento de performance, estratégias de testes e migração de padrões legados.
日本語の概要は準備中です。原文の説明を表示しています。
Email tem o maior ROI de qualquer canal de marketing. R$ 36 para cada R$ 1 gasto. Mas a maioria das startups trata como secundário - envios em massa, sem personalização, caindo em spam. Esta skill cobre email transacional que funciona, automação de marketing que converte, entregabilidade que atinge caixas de entrada, e decisões de infraestrutura que escalam. Use quando: keywords, file_patterns, code_patterns.
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 you are filing, reviewing, or generating accessibility bug reports — whether from automated tool output, manual testing, user reports, or testing with disabled people. The purpose of this skill is to make accessibility findings easier to report accurately, connect them to real people and tasks, and let developers reproduce, understand, and fix them without unnecessary back-and-forth. Absolutely always describe the barrier and its task impact before citing a WCAG criterion. Under no circumstances guess a disability diagnosis, treat automated tool output as a conformance conclusion, or expose secrets/personal data in a report.
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。
Apply the Opquast Digital Quality Framework (245 rules, 14 categories) when building, reviewing, or auditing websites and web applications. Use for web development quality assurance, accessibility compliance, security hardening, privacy implementation, e-commerce best practices, and holistic digital quality checks.
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 for QA analysis, test planning, test cases, or root-cause analysis of a defect. Also use for post-merge PR review analysis: auditing recent closed PRs for Devin/GitHub/security bot comments, verifying whether requested corrections were applied, and turning pending fixes into SPECs.
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。
Central entry point of the afonsoft agent harness. Use when starting a new project, resuming an existing one, planning features/Epics/releases, or running any multi-step agent-driven work. Validates and reconciles SPECs (SDD), audits the codebase and harness for gaps (security, architecture, performance, hygiene), proposes improvements, fragments work into GitHub Issues, delegates implementation/QA/review to specialized skills, and re-validates everything until delivery. Also use to review unapproved SPECs, reconcile open GitHub Issues with code, or run a final gap check before closing a release.
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 designing, reviewing, or implementing an Inspector panel for an Apple-platform app — contextual selected-item details and safe editable properties, grouped sections, ⌘I toggle, and a compact-width 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。
Use when designing, reviewing, or implementing Settings/Preferences for Apple-platform apps — what belongs in Settings vs Inspector/Toolbar, grouped forms, native controls, secure storage, launch at login, and destructive actions.
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 designing, reviewing, or implementing a sidebar for an Apple-platform app — top-level navigation only, grouped sections, NavigationSplitView, consistent SF Symbols, and safe compact-width behavior.
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。
Conduct comprehensive AI-powered research with citations via the Tavily CLI. Use this skill when the user wants deep research, a detailed report, a comparison, market analysis, literature review, or says "research", "investigate", "analyze in depth", "compare X vs Y", "what does the market look like for", or needs multi-source synthesis with explicit citations. Returns a structured report grounded in web sources. Takes 30-120 seconds. For quick fact-finding, use tavily-search instead.
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。
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。