¿Qué hace ai-research-explore?
Habilidad para agente 'ai-research-explore' de lllllllama/rigorpilot-skills.
Habilidad para agente 'ai-research-explore' de lllllllama/rigorpilot-skills.
Esta habilidad permite que un agente de IA, como Claude Code o Cursor, realice tareas de exploración y síntesis de investigaciones académicas y técnicas. Es útil para desarrolladores y expertos en IA que necesitan mantenerse actualizados sobre los últimos avances, resumir artículos, o identificar tendencias clave. La habilidad se basa en técnicas de procesamiento de lenguaje natural y recuperación de información, y está diseñada para funcionar con plataformas de agentes que soporten scripts personalizados. Al ejecutarse, el agente puede buscar documentos, extraer citas relevantes, y generar informes concisos, todo mediante la integración con APIs de servicios de investigación.
npx skills add https://github.com/lllllllama/rigorpilot-skills/tree/main/skills/ai-research-exploreInstalled? Explore more Investigación y análisis de datos skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Habilidad para agente 'ai-research-explore' de 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.