¿Qué hace ai-research-reproduction?
Habilidad de agente 'ai-research-reproduction' de lllllllama/rigorpilot-skills.
Habilidad de agente 'ai-research-reproduction' de lllllllama/rigorpilot-skills.
Esta habilidad permite a un agente de IA reproducir resultados de investigaciones de manera sistemática y fiable. Es útil para investigadores, desarrolladores y científicos de datos que necesitan verificar la reproducibilidad de experimentos basados en IA o aprendizaje automático. La habilidad se enfoca en ejecutar pipelines de datos, entrenar modelos, y evaluar métricas de rendimiento siguiendo pasos definidos en un documento SKILL.md. Soporta plataformas como Claude Code, Cursor y Codex, y su funcionamiento se basa en instrucciones claras para replicar entornos de software, configuraciones de hiperparámetros y procesos de análisis, minimizando errores humanos y asegurando consistencia entre ejecuciones.
npx skills add https://github.com/lllllllama/rigorpilot-skills/tree/main/skills/ai-research-reproductionInstalled? Explore more Investigación y análisis de datos skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Habilidad 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.