fxbaogao-deep-research は何をしますか？
Claude Skill，围绕行业、公司或主题做深度研究。采用"先想后搜"方法：先明确研究边界，用 MECE 原则拆解关键子问题，再基于子问题去发现报告定向搜索研报、筛选核心研报，精读后沉淀事实、对比推导，最终形成结构化结论。
Claude Skill，围绕行业、公司或主题做深度研究。采用"先想后搜"方法：先明确研究边界，用 MECE 原则拆解关键子问题，再基于子问题去发现报告定向搜索研报、筛选核心研报，精读后沉淀事实、对比推导，最终形成结构化结论。
fxbaogao-deep-research is a Claude Code agent skill that claude Skill，围绕行业、公司或主题做深度研究。采用"先想后搜"方法：先明确研究边界，用 MECE 原则拆解关键子问题，再基于子问题去发现报告定向搜索研报、筛选核心研报，精读后沉淀事实、对比推导，最终形成结构化结论。.
npx skills add fxbaogao/fxbaogao-deep-researchInstalled? Explore more 研究＆データ分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Claude Skill，围绕行业、公司或主题做深度研究。采用"先想后搜"方法：先明确研究边界，用 MECE 原则拆解关键子问题，再基于子问题去发现报告定向搜索研报、筛选核心研报，精读后沉淀事实、对比推导，最终形成结构化结论。
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.