ai-research-explore 是做什麼的？
AI 代理技能 'ai-research-explore'，來自 lllllllama/rigorpilot-skills。
一個 AI 代理技能，用於探索和摘要 AI 研究論文。
這個技能讓 AI 代理（如 Claude Code 或 Cursor）能夠探索、搜尋和摘要最新的 AI 研究論文。它從 arxiv 或其他儲存庫中提取論文，並以結構化格式提供摘要、關鍵發現和相關連結。這個技能對研究人員、開發人員和 AI 愛好者特別有用，可以快速掌握新興趨勢，而無需手動瀏覽多個來源。它支援透過可自訂的查詢參數進行搜尋，並整合到基於命令列或 IDE 的工作流程中。
npx skills add https://github.com/lllllllama/rigorpilot-skills/tree/main/skills/ai-research-exploreInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
AI 代理技能 'ai-research-explore'，來自 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.