O que ai-research-reproduction faz?
Habilidade de agente 'ai-research-reproduction' de lllllllama/rigorpilot-skills.
Habilidade de agente 'ai-research-reproduction' de lllllllama/rigorpilot-skills.
A habilidade 'ai-research-reproduction' é projetada para agentes de IA, como Claude Code e Cursor, com o objetivo de reproduzir resultados de pesquisas científicas de forma automatizada. Ela permite que o agente execute experimentos, analise dados e verifique a reprodutibilidade de estudos acadêmicos diretamente no ambiente de desenvolvimento. Útil para pesquisadores, engenheiros e cientistas de dados, esta skill facilita a validação de descobertas e a replicação de pipelines de pesquisa. Baseada no repositório rigorpilot-skills, ela integra-se a ferramentas de linha de comando e scripts, garantindo que os passos metodológicos sejam seguidos com precisão e transparência.
npx skills add https://github.com/lllllllama/rigorpilot-skills/tree/main/skills/ai-research-reproductionInstalled? 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-reproduction' de 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 '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.