O que my-claude-skills faz?
Minha coleção de Skills personalizadas para Claude Code — github-push / CV-create / llm-pipeline-scaffold / arxiv-paper-reporter
Minha coleção de Skills personalizadas para Claude Code — github-push / CV-create / llm-pipeline-scaffold / arxiv-paper-reporter
Este pacote reúne Skills personalizadas desenvolvidas para o Claude Code, visando automatizar tarefas recorrentes de engenharia de software e pesquisa. Inclui ferramentas para enviar commits e push para GitHub (github-push), gerar currículos profissionais formatados (CV-create), criar scaffolds de pipelines de LLM (llm-pipeline-scaffold) e gerar relatórios de papers do arXiv (arxiv-paper-reporter). Cada skill funciona de forma autônoma dentro do ecossistema do Claude Code, permitindo que o desenvolvedor execute fluxos complexos com comandos simples. A coleção é ideal para desenvolvedores e pesquisadores que desejam acelerar seu fluxo de trabalho com IA, eliminando trabalho manual repetitivo e garantindo consistência nos resultados.
npx skills add 0010Grent/my-claude-skillsInstalled? Explore more Pesquisa e Análise de Dados skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Minha coleção de Skills personalizadas para Claude Code — github-push / CV-create / llm-pipeline-scaffold / arxiv-paper-reporter
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.