O que ai-research-explore faz?
Habilidade de agente 'ai-research-explore' do repositório lllllllama/rigorpilot-skills.
Habilidade de agente para explorar e pesquisar tópicos de IA.
Esta habilidade permite que agentes de IA realizem pesquisas exploratórias em tópicos de inteligência artificial, coletando informações, analisando tendências e gerando resumos. É útil para desenvolvedores e pesquisadores que desejam automatizar a descoberta de conhecimento em áreas como aprendizado de máquina, processamento de linguagem natural e visão computacional. A habilidade funciona integrando-se a fontes de dados como APIs de pesquisa acadêmica, bases de conhecimento e repositórios de código, e pode ser utilizada em plataformas como Claude Code, Cursor e Codex. Baseada na documentação SKILL.md, ela oferece funcionalidades como busca de artigos, extração de insights e formatação de resultados para fácil consumo pelo usuário.
npx skills add https://github.com/lllllllama/rigorpilot-skills/tree/main/skills/ai-research-exploreInstalled? 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 'ai-research-explore' do repositório lllllllama/rigorpilot-skills.
This repo contains 10 individual skills — each has its own dedicated page.
Agent skill 'ai-research-reproduction' from lllllllama/rigorpilot-skills.
Agent skill 'analyze-project' 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.