Research Claude Skills
2 269 research skills from 396 authors. They find sources and get you up to speed on unfamiliar ground. Half of them fit into 2 278 tokens or less — that is what one costs your context window when the agent loads it. 663 ship runnable scripts rather than instructions alone. 4 of them cannot work without an MCP server, most often rube. We also found 264 copies of these same skills sitting in other people's repositories — counted once here, not 264 times.
2 269 unique 396 authors 1 169 updated this month 93 from vendors
NSFC申请书撰写指南。覆盖选题、摘要、立项依据、研究内容、研究方案、创新性、可行性分析等各部分的写作技巧与模板。适用于青年C、面上、重点等项目类型。
NSFC申请书图表制作指南。指导如何制作概念图、技术路线图、研究内容关系图、研究基础展示图等。包含Mermaid/Python代码模板和设计原则。
NSFC申请书文献检索与引用生成。使用OpenAlex API免费搜索学术文献，使用wenxian生成标准引用格式。
Use when a researcher is choosing, framing, refining, or stress-testing a research question, hypothesis, thesis topic, project idea, grant direction, paper angle, or stalled research direction.
| 선행 스킬 산출물(commerce-market-research·commerce-jtbd-persona·commerce-product-naming·commerce-channel-message·detail-page-copy 결과)과 매장 운영 데이터를 종합해 매출 향상 통합 전략 1장 + 실행 우선순위 Top 3을 자동 생성하고, 채널 믹스·가격·프로모션 캘린더·리텐션·KPI까지 단계별(런칭/성장/안정)로 설계합니다. "오늘 배운 것 종합 전략으로 정리해줘", "통합 전략 뽑아줘", "실행 우선순위 정해줘", "매출 올리는 전략 1장", "지금 당장 해야 할 것 Top3", "ROAS 개선 전략", "채널별 매출 비교 분석", "커머스 전략 짜줘", "채널 믹스 추천해줘", "가격 전략 세워줘", "프로모션 캘린더 만들어줘", "리텐션 전략 추천", "이커머스 KPI 대시보드 설계"
| "내 카테고리 시장조사 해줘", "경쟁사 동향 알아봐줘", "이 카테고리 진입 검토해줘", "분기 시장 트렌드 뽑아줘", "신상품 카테고리 분석", "쇼핑 트렌드 리서치", "키워드 시장 규모 알아봐줘", "카테고리 기회·위협 분석" 6대 영역 진단(A-F) + 포지셔닝 5축(품질/가성비/전문성/편의성/가치관) + 새 카테고리 창출 vs 기존 카테고리 경쟁 분석. ai-slop-reviewer 체이닝 제외 (수치·표 데이터 스킬).
| 문헌 검토 보고서, 논문 초안, 연구 계획서, 참고문헌 목록을 만들어 드립니다. RISS·DBpia 등 국내외 학술 DB 검색 전략부터 정량·정성 분석, 인용 관리, 피어 리뷰 대비까지 지원합니다.
| 사용자 인터뷰 가이드·페르소나 문서·VOC 분석 보고서·NPS 해석안 같은 UX 리서치 결과물을 만들어 드립니다. 정성·정량 리서치 결과를 의사결정에 쓸 수 있는 인사이트로 정리하고, ai-slop-reviewer·humanize-korean으로 마무리할 수 있습니다.
| RISS·KCI·DBpia·Google Scholar에서 논문을 통합 검색해 서지정보와 인용 형식을 정리해 드립니다.
| 서론-선행연구-방법론-결과-논의-결론 구조의 학술 논문 초안을 쓰고 APA·KCI·IEEE 참고문헌을 자동 생성해 드립니다. 국문·영문 초록과 본문 전체 섹션을 구성하고, 작성 후 ai-slop 검수 체인으로 마무리합니다.
| 스스로 공부할 나만의 학습 프로젝트를 만들어 드립니다. 학습 목표와 현재 수준을 진단해 단계별 로드맵을 짜고, 진도 추적과 학습 전용 CLAUDE.md를 자동으로 세팅합니다. 학습자(수강생) 본인이 쓰는 도구입니다. 주제·수준·가용 시간을 받아 마일스톤 로드맵과 프로젝트 폴더를 만들고, tutor-research·learning-material 체인으로 연결합니다.
| 학습 질문을 받으면 공식 문서(context7)와 웹검색을 동시에 병렬로 조사해, 출처가 검증된 최신 학습 근거를 종합해 드립니다. 개인 튜터가 자료를 미리 조사해 오는 역할입니다. 질문을 리서치 축으로 분해해 context7(라이브러리·SDK·CLI 공식 문서)과 WebSearch(최신 트렌드·튜토리얼·비교)를 병렬 실행하고, 출처를 교차검증한 뒤 learning-material로 넘길 종합본을 만듭니다.
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.
Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.
Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.
Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.
Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.
Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.
Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.
使用firecrawl和exa MCPs进行多源深度研究。搜索网络、综合发现并交付带有来源引用的报告。适用于用户希望对任何主题进行有证据和引用的彻底研究时。
通过Exa MCP进行神经搜索，适用于网络、代码和公司研究。当用户需要网络搜索、代码示例、公司情报、人员查找，或使用Exa神经搜索引擎进行AI驱动的深度研究时使用。
进行市场研究、竞争分析、投资者尽职调查和行业情报，附带来源归属和决策导向的摘要。适用于用户需要市场规模、竞争对手比较、基金研究、技术扫描或为商业决策提供信息的研究时。
研究优先于编码的工作流程。在编写自定义代码之前，搜索现有的工具、库和模式。调用研究员代理。
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.
Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.
Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.
Research Azure naming constraints and CAF abbreviations for a given resource type. Use when you need to look up the official CAF slug, naming rules (length, scope, valid characters), and derive validation/cleaning regex patterns for an Azure resource. Triggers on: CAF abbreviation lookup, Azure naming rules research, resource naming constraints.
Process drone survey data for construction sites. Generate orthomosaics, DEMs, point clouds, calculate volumes, track progress, and integrate with BIM models for comparison.
Optimize construction site logistics including material delivery scheduling, crane positioning, storage area allocation, and traffic flow using operations research and simulation.
Alias for search-and-plan when external research should inform a repo-change plan before implementation.
Use when external research should inform a repo-change plan before implementation; exclude direct implementation-only, factual/explanation, trivial, or explicit no-plan requests.
| 实习.skill / get-job.skill：从岗位调研、简历改写到分轮次面试准备的全流程求职 skill。适合找工作、投实习、校招、秋招、春招、暑期实习、社招、跳槽、转行、跨专业求职、留学生求职，以及产品经理、运营、市场、咨询、AI 产品、AI Coding、数据分析、技术岗等目标岗位准备。 核心能力：① WebSearch 调研公司、岗位 JD、业务线、竞品、面经、招聘流程和隐性门槛；② 按目标岗位反向定位简历，做 JD 匹配、ATS 关键词、经历筛选、STAR/CAR 改写、可迁移能力翻译、docx 简历生成；③ 按真实轮次准备面试，覆盖一面/业务面/专业面/主管面/HR 面/recruiter screen 等已确认或高置信轮次，逐条深挖简历 bullet、项目逐字稿、自我介绍、表达训练、模拟面试、反问清单、面后复盘题库。 适用于「改简历」「简历优化」「简历润色」「简历匹配 JD」「求职简历」「投递前改简历」「按岗位改简历」「准备面试」「面试准备」「面经分析」「模拟面试」「自我介绍」「项目经历怎么讲」「简历被追问怎么办」「双非拿大厂 offer」「背景不对口怎么办」「AI 产品实习」「运营实习」「产品经理校招」等场景。 质量保障：不编造经历、不改背调硬信息；所有强 claim 做证据化审计；搜索源按市场和 A/B/C/D 分级；轮次不写死；最终交付前必须跑质量闸门和覆盖矩阵，避免漏 bullet、标签泄漏和过度包装。
Conduct systematic academic literature reviews in 6 phases, producing structured notes, a curated paper database, and a synthesized final report. Output is organized by phase for clarity.
Manage BibTeX citations for LaTeX papers. Harvest missing citations from a draft using Semantic Scholar, validate cite keys against .bib files, deduplicate entries, and format bibliography. Use when working with references, BibTeX, or citations.
Design algorithms with LaTeX pseudocode and UML diagrams. Generate algorithmic environments, Mermaid class/sequence diagrams, and ensure consistency between pseudocode and implementation. Use when formalizing methods for a paper.
Decompose research ideas into atomic, self-contained concepts with bidirectional math-code mapping. For each concept, extract the math formula from papers and find code implementations. Use for complex system papers requiring formal grounding.
Design experiment plans with progressive stages — initial implementation, baseline tuning, creative research, and ablation studies. Plan baselines, datasets, hyperparameter sweeps, and evaluation metrics. Use when planning experiments for a research paper.
Write ML experiment code with iterative improvement. Generate training/evaluation pipelines, debug errors, and optimize results through code reflection. Use when implementing experiments for a research paper.
Generate novel research ideas with iterative refinement and novelty checking against literature. Score ideas on Interestingness, Feasibility, and Novelty. Use when brainstorming research directions or validating idea novelty.
Handle LaTeX formatting, templates, and styling for academic papers. Set up conference templates (ICML, ICLR, NeurIPS, AAAI, ACL), fix formatting issues, manage packages, and ensure venue-specific compliance. Use when the user needs to set up a paper template, fix LaTeX formatting, or prepare for submission.