O que analyze-project faz?
Habilidade de agente 'analyze-project' do repositório lllllllama/rigorpilot-skills.
Habilidade de agente 'analyze-project' do repositório lllllllama/rigorpilot-skills.
A habilidade 'analyze-project' permite que um agente de IA, como Claude Code, Cursor ou Codex, analise a estrutura e configuração de um projeto de software. Ela é útil para entender rapidamente a arquitetura, dependências, ferramentas de build e práticas de desenvolvimento de um projeto existente. Baseada na documentação SKILL.md, a habilidade provavelmente orienta o agente a inspecionar diretórios, ler arquivos de configuração (como package.json, pyproject.toml, etc.) e compilar um resumo coerente. O objetivo é fornecer ao desenvolvedor uma visão geral do projeto sem que ele precise navegar manualmente pelos arquivos.
npx skills add https://github.com/lllllllama/rigorpilot-skills/tree/main/skills/analyze-projectInstalled? Explore more Pesquisa e Análise de Dados skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Habilidade de agente 'analyze-project' do repositório lllllllama/rigorpilot-skills.
This repo contains 10 individual skills — each has its own dedicated page.
Agent skill 'ai-research-explore' from lllllllama/rigorpilot-skills.
Agent skill 'ai-research-reproduction' from lllllllama/rigorpilot-skills.
Agent skill 'env-and-assets-bootstrap' from lllllllama/rigorpilot-skills.
Agent skill 'explore-code' from lllllllama/rigorpilot-skills.
Agent skill 'explore-run' from lllllllama/rigorpilot-skills.
Agent skill 'minimal-run-and-audit' from lllllllama/rigorpilot-skills.
Agent skill 'paper-context-resolver' from lllllllama/rigorpilot-skills.
Agent skill 'repo-intake-and-plan' from lllllllama/rigorpilot-skills.
Agent skill 'run-train' from lllllllama/rigorpilot-skills.
Agent skill 'safe-debug' from lllllllama/rigorpilot-skills.
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.