Explorar skills

Extrai legendas e transcrições de vídeos do YouTube usando yt-dlp. Utilize para transcrever, obter legendas, extrair o conteúdo falado, resumir ou obter metadados de vídeos do YouTube. Suporta legendas automáticas e manuais em qualquer idioma.

Pesquise qualquer tópico da web, transcrições do YouTube, PDFs, posts do X/Twitter ou repositórios do GitHub. Esta skill gera uma nota Markdown com notas de rodapé e um mapa mental Mermaid para coleta de informações externas e criação de notas.

Content quality and E-E-A-T assessment for AI citability — evaluate experience, expertise, authoritativeness, trustworthiness, and content structure

Use when reviewing novel chapters or manuscripts for logic consistency, character authenticity, plot cohesion, foreshadowing payoff, emotional resonance, narrative vividness, and content compliance. Also triggers for first-chapter editorial audits against web novel platform submission standards. Triggers on requests like "check the story", "review this chapter", "is this consistent with character"

Validates Claude Code skills against official best practices from Anthropic documentation. Fetches latest documentation dynamically to ensure current standards. Checks frontmatter, structure, line count, descriptions, references, workflows, and provides actionable recommendations. Use when asked to validate skill, check skill quality, review skill, or audit skill compliance.

Documentação completa do Tailwind CSS, cobrindo classes de utilidade, design responsivo, modo escuro, animações, configurações personalizadas, plugins e questões de estilo, incluindo melhores práticas.

Use the codebase knowledge graph for structural code queries. Triggers on: explore the codebase, understand the architecture, what functions exist, show me the structure, who calls this function, what does X call, trace the call chain, find callers of, show dependencies, impact analysis, dead code, unused functions, high fan-out, refactor candidates, code quality audit, graph query syntax, Cypher

Frame the value of an AI feature in terms of user outcomes and business impact, not model capabilities. Use this skill when a team needs to articulate why an AI feature is worth building and what success looks like.

Verifica sistematicamente declarações, artigos e alegações usando pesquisa web em tempo real e verificação lateral de fontes. É acionado quando o usuário pede para verificar fatos, a precisão de informações, ou discute desinformação e credibilidade de fontes.

CLARITY: 7-stage development pipeline. Canvas → Look → Architect → Review → Implement → Test → Yield. Run /clarity [stage] to begin. Works on any repo.

Generates the working markdown documentation files for an MVP project (CLAUDE.md, README.md, ARCHITECTURE.md, DECISIONS.md, ROADMAP.md, plus optional DEMO-DATA.md and BRAND.md) from an existing {{ProjectName}}_BRD.md file in the working directory. Use this skill whenever the user wants to set up project documentation for an MVP, scaffold the working markdowns, generate CLAUDE.md, create the projec

Analyze an implementation plan (defaults to .flow/specs/), discover relevant skills from the ecosystem, install them, and rewrite the plan to leverage installed skills. Use when user has a build plan, flow-next epic spec, or feature request and wants to equip the agent with the best available skills before building. Triggers on 'select skills for', 'equip for plan', 'find skills for this plan', 's