ai-research-explore 是做什么的？
来自 lllllllama/rigorpilot-skills 的 AI 研究探索代理技能。
来自 lllllllama/rigorpilot-skills 的 AI 研究探索代理技能。
ai-research-explore 是一个专为 AI 代理设计的技能，旨在帮助用户主动探索和发现 AI 领域的最新研究动态。该技能通过集成多个权威研究来源（如 arXiv、学术会议、研究者博客等），自动或按需检索、筛选和总结高质量的学术论文和项目。它支持多种 AI 代理平台（如 Claude Code、Cursor、Codex），并能与其他技能协作，实现从发现到应用的完整工作流。用户可以根据关键词、作者、研究方向等条件定制搜索策略，获得简洁的摘要和关键信息，从而节省大量手动追踪研究进展的时间。
npx skills add https://github.com/lllllllama/rigorpilot-skills/tree/main/skills/ai-research-exploreInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
来自 lllllllama/rigorpilot-skills 的 AI 研究探索代理技能。
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.