literature-review 是做什么的？
使用多视角对话模拟进行全面的文献综述。生成多样化的专家角色，进行基于文献的问答对话，并将发现综合为结构化知识。适用于启动新研究项目或撰写综述章节时。
使用多视角对话模拟进行全面的文献综述。生成多样化的专家角色，进行基于文献的问答对话，并将发现综合为结构化知识。适用于启动新研究项目或撰写综述章节时。
该技能通过模拟多专家视角的对话来辅助文献综述工作。它能够自动生成具有不同专业背景的专家角色，并让这些角色围绕特定研究问题进行问答和讨论。所有对话均基于实际文献内容，确保讨论的准确性。最终，技能会将讨论结果综合成结构化的知识摘要，便于用户快速把握研究现状。此技能支持 Claude Code 等 AI 代理平台，尤其适合在启动新研究项目或撰写论文综述部分时使用，能显著提高文献调研的效率和质量。
npx skills add https://github.com/lingzhi227/agent-research-skills/tree/main/skills/literature-reviewInstalled? 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 →
使用多视角对话模拟进行全面的文献综述。生成多样化的专家角色，进行基于文献的问答对话，并将发现综合为结构化知识。适用于启动新研究项目或撰写综述章节时。
This repo contains 1 individual skill — each has its own dedicated page.
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.