O que notebooklm-skill faz?
📄 Consulte cadernos do Google NotebookLM usando o Claude Code para obter respostas precisas com citações baseadas em seus documentos.
📄 Consulte cadernos do Google NotebookLM usando o Claude Code para obter respostas precisas com citações baseadas em seus documentos.
Esta skill permite que você consulte cadernos do Google NotebookLM diretamente através do Claude Code. Ela é útil para desenvolvedores e profissionais que desejam extrair informações verificáveis de seus documentos armazenados no NotebookLM, recebendo respostas acompanhadas de citações precisas das fontes originais. A skill funciona integrando o Claude Code à API do NotebookLM, permitindo buscas e consultas estruturadas sem sair do terminal. Suporta plataformas como Claude Code e outras ferramentas de IA que aceitam skills no formato Markdown.
npx skills add dhhn2002/notebooklm-skillInstalled? Explore more Pesquisa e Análise de Dados skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
📄 Consulte cadernos do Google NotebookLM usando o Claude Code para obter respostas precisas com citações baseadas em seus documentos.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.