Research & Search
Research agent skills teach AI agents to gather and synthesize information properly: literature reviews, competitive analysis, web research with citations, and structured summaries. Each SKILL.md encodes a method, not just a prompt, so results stay consistent across runs.
-
modest-curator478 Skill Resume Optimizer 2AUTO-TRIGGER: Apply this skill automatically when the user pastes or shares a job posting, job description, or any role they are considering applying for. Also trigger when the user asks Claude to review, tailor, score, or optimize their resume against a role. Trigger when the user asks "how well do I match," "am I a good fit," "should I apply," or shares a LinkedIn job posting, job board listing, or recruiter message containing a role description. Do NOT trigger for general career advice, salary research, or interview prep questions that do not include a specific job posting. This skill scores the user's fit against the role, selects the right resume version, and delivers a tailored resume ready to submit. The user has two resume versions on file. The skill selects and tailors the right one automatically based on the job posting.
-
modest-curator478 Skill Competitive Intelligence 2AUTO-TRIGGER: Apply this skill when the user mentions a company they are interviewing with, preparing for an interview at, or researching for a job application. Trigger phrases include: "I have an interview at," "I'm interviewing with," "tell me about [company]," "research [company] for me," "what do I need to know about [company]," or any request to prepare for a specific company meeting or interview. Also trigger when the user shares a company name alongside a job title, job posting, or recruiter name -- these signals indicate interview prep. Do NOT trigger for general industry research, trend analysis, or news requests that are not tied to a specific company and interview.
-
timsmykov Bundle Peer Review 2Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments. Use for authorized review of scientific manuscripts, protocols, preprints, or research proposals; reporting-guideline selection; claim–evidence checks; methods, statistics, reproducibility, ethics, figure/table, and citation critique; or revision-response planning.
-
timsmykov Bundle Systematic Review 2Build and run a reproducible systematic-search, deduplication, and screening workflow with explicit eligibility criteria and decision reasons. Use for systematic, scoping, or evidence reviews that require an auditable record flow; do not use for an informal literature overview or fabricate database coverage.
-
timsmykov Bundle Citation Management 2Comprehensive citation management for academic research. Search OpenAlex, PubMed, and Google Scholar for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.
-
timsmykov Bundle Experimental Design 2Design experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so results are interpretable. Use whenever someone is planning a study, asks how to assign subjects/samples to groups, mentions randomization, blocking, stratification, controls, factorial or fractional-factorial designs, design of experiments (DOE), screening many factors, response-surface optimization, crossover or repeated-measures or split-plot designs, cluster/group randomization, Latin squares, plate layouts, batch/run-order effects, replication vs. pseudoreplication, or sequential/adaptive/group-sequential designs. Trigger even for informal phrasings like "how should I set up this experiment", "how do I avoid confounding", "what's the best way to test these 6 factors", or "assign these mice to conditions". For computing the sample size or power once the design is chosen, use statistical-power; for analyzing data already collected, use statistical-analysis.
-
timsmykov Bundle Hypothesis Generation 2Formulate evidence-bounded scientific questions, candidate hypotheses, rival explanations, causal or associational claims, discriminating predictions, measurements, and preregistration-ready analysis plans. Use when turning observations or preliminary findings into transparent, testable research plans without treating hypotheses as facts.
-
timsmykov Bundle Life Science Protocols 2Add life-science-specific protocol, biological-control, bias, biosafety-boundary, reporting, and acquisition-metadata checks to a study or image workflow. Use when a life-science project is being planned or biological images are analysed; do not provide clinical decisions or experimental safety authorization.
-
timsmykov Bundle Research Image Analysis 2Inspect scientific or research images while preserving source identity, acquisition context, transformations, measurement definitions, exclusions, and interpretation limits. Use for microscopy, experimental photographs, scans, or instrument images; do not use merely to make decorative figures or infer unsupported diagnoses.
-
timsmykov Bundle Literature Review 2Plan and conduct reproducible literature reviews with explicit search boundaries, documented screening decisions, structured evidence extraction, quality appraisal, synthesis, and verified citations. Use for systematic, scoping, rapid, or narrative reviews; use paper-lookup for a bounded paper search and writing-skill only after the evidence set is stable.
-
timsmykov Bundle Qualitative Analysis 2Develop and apply a traceable qualitative codebook to interviews, open-ended responses, field notes, or text corpora, preserving coded excerpts, reflexive notes, disagreements, and negative cases. Use for qualitative coding and thematic synthesis; do not substitute generic summarization or tabular statistics.
-
timsmykov Bundle Evidence Lab Meeting Capture 2Turn an Evidence Lab meeting transcript, recording note, or rough minutes into a source-bounded summary and save the finished page in the canonical Notion meeting register. Use when asked to summarize, capture, document, or file an Evidence Lab meeting, including course, consulting, product, or team discussions. Do not use for ordinary meetings outside Evidence Lab, transcript extraction alone, or task-board intake without a meeting summary.
-
wang-q-l Bundle Pm Market Research 2产品经理市场调研与竞品分析技能。适用场景:(1) 需要做市场规模分析(TAM/SAM/SOM),(2) 进行竞品对比分析,(3) 分析行业趋势和机会,(4) 输出市场调研报告,(5) 用户说「做竞品分析」「分析市场」「市场调研」「竞争对手分析」时触发
-
aisa-team Bundle Youtube Serp 2YouTube SERP for agents. Search top-ranking videos, channels, and trends for content research and competitor tracking.
-
aisa-team Bundle Last30days 2Research the last 30 days across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and grounded web search. Returns a ranked, clustered brief with citations. Use when the task needs recent social evidence, competitor comparisons, launch reactions, trend scans, or person/company profiles.
-
aisa-team Bundle Crypto Market Data 2Query real-time and historical cryptocurrency market data via CoinGecko — simple prices, coin details, historical charts, OHLC candles, token prices by contract address, market-cap rankings, exchange data and tickers, categories, trending searches, and crypto news. Use for crypto research, price tracking, on-chain token lookup, portfolio analysis, and market-cap screening.
-
aisa-team Bundle Aisa Twitter API 2Twitter/X research, monitoring, watchlists, and OAuth-approved posting through AIsa. Use when: the user needs one flagship Twitter skill for trend tracking, competitor monitoring, timeline analysis, or approved posting without sharing passwords. Supports search, watchlists, relay-based reads, and OAuth-gated text or media posting.
-
aisa-team Bundle Perplexity Search 2Perplexity Sonar search and answer generation through AIsa. Use when the task is specifically to call Perplexity Sonar, Sonar Pro, Sonar Reasoning Pro, or Sonar Deep Research for citation-backed web answers, analytical reasoning, or long-form research reports.
-
aisa-team Bundle Multi Source Search 2Multi-source intelligent search for agents. Retrieval across web, scholar, Tavily, and Perplexity Sonar models.
-
khanhhuyenngo985-sys Skill Bolder 2Amplify safe or boring designs to make them more visually interesting and stimulating. Increases impact while maintaining usability. Use when the user says the design looks bland, generic, too safe, lacks personality, or wants more visual impact and character.
-
delorenj Bundle Bmad Sprint Status 2Summarize sprint status and surface risks. Use when the user says "check sprint status" or "show sprint status"
1 -
delorenj Bundle Bmad Domain Research 2Conduct domain and industry research. Use when the user says wants to do domain research for a topic or industry
1 -
delorenj Bundle Bmad Market Research 2Conduct market research on competition and customers. Use when the user says they need market research
1 -
doubleslashse Bundle Design Thinking 2Design thinking methodology for human-centered problem solving. Use when facilitating design thinking workshops, user research sessions, or creative problem-solving activities.
-
haomingz Bundle Research Writer 2提供高质量的研究写作支持:从资料调研、补充引用,到优化开头、完善结构大纲,并实时提供逐节反馈与打磨建议。当用户提出写作协助请求,如“帮忙调研资料”、“优化开头”、“梳理大纲”,或需要逐节审阅、补充引用、润色文章时触发。
-
haomingz Bundle Research Advisor 2协助科研人员进行选题构思、项目规划、问题排查与科研决策,输出具体的研究方案、风险评估矩阵或决策树等文档。当用户提出新研究想法、分享当前项目遇到的卡点、咨询战略性问题,或使用“选题”、“开题”、“项目构思”、“研究方向”、“研究路径”、“风险评估”、“问题排查”、“卡住了”、“下一步怎么走”等关键词时触发。
-
haomingz Bundle Research Paper Refiner 2学术论文英文润色助手,按学术写作标准逐段审查语法、用词、语态与逻辑衔接,输出修改建议与润色后的文本。当用户请求论文润色、语法检查、或提交英文论文片段寻求改进,例如说“帮我润色这段英文”、“这段论文语法有没有问题”、“改成学术英语”,或提及paper polishing、academic writing、manuscript editing、SCI润色等关键词时触发。
-
khanhhuyenngo985-sys Skill Quieter 2Tones down visually aggressive or overstimulating designs, reducing intensity while preserving quality. Use when the user mentions too bold, too loud, overwhelming, aggressive, garish, or wants a calmer, more refined aesthetic.
-
light0305 Bundle Light Citation 2Verify scholarly references and claim-citation support for Light stage 10. Use when auditing a manuscript, claim map, bibliography, DOI/arXiv/PMID/ISBN/URL, BibTeX/CSL, citekeys, chimeric or fabricated citations, retraction/correction alerts, or preparing a canonical citation registry for typesetting. Builds provenance-preserving inventories, confirms metadata with independent authoritative sources, distinguishes CONFIRMED/CONFIRMED-MISSING/UNAVAILABLE/UNRESOLVED, records Crossref update direction, and emits the citation gate plus delivery artifacts.
-
light0305 Bundle Light Paper Writing 2Light 科研主线第 8 步·论文写作:围绕「如何让审稿人相信值得发表」组织,初稿→审稿人视角循环打磨; 每个 claim 都有证据、措辞强度匹配证据强度、绝不过度宣称。何时用:实验+分析做完要写论文 / 写/改摘要·引言· 贡献句·结论 / 担心「claim 无证据 或 措辞夸大」/ 要让贡献三处(摘要·引言·结论)一致 / 引言四段式(痛点→不足→ 洞察→贡献) / 要当审稿人自己挑一遍 / 论文初稿润色去 AI 腔/被动/语法。 触发词:写论文 / 论文写作 / 写摘要 abstract / 写引言 introduction / 贡献句 contribution / 写结论 / 润色 polish / 改写 / 措辞 / 过度宣称 overclaim / claim 无证据 / 审稿人视角 / 自我审稿 / 贡献一致 / hedge / 学术腔 / AI 腔 / 被动语态 / paper writing / draft。 核心纪律:**claim 无证据 = critical 诚信门**(spec §4.2,STAGE_GATES[8]=[claim_evidence,overclaim]); 过度宣称 / 贡献三处不一致 = warn(critical 措辞红线在 research-ethics 交付门);**措辞强度必须匹配证据强度**、 不显著只能报「未见显著差异」、绝不过度宣称;机检措辞有边界,逻辑/创新/论证终判仍需人/审稿人。 本技能是 **8→7(claim 无证据→result-analysis)/ 8→6(实现缺口→experiment-coding)回炉发起方**。
-
light0305 Bundle Light Research Plan 2Light 科研主线第 5 步·研究方案与实验设计:把 idea-critique 放行的 idea 与 data feasibility 拆成**能真执行、能写进论文、 能复现**的 question/estimand、实验矩阵与预注册包。何时用:idea 已通过审查要落地 / 要设计实验·消融·对比·敏感性· 泛化·鲁棒性 / 写研究方案 PROJECT_PLAN / 锁 primary outcome、排除/停止规则或 preregistration / 规划样本量、种子与统计功效 / 算实验算力预算 / 复现已有论文 / 担心 baseline 放水或假设推不翻。触发词:研究方案 / 实验设计 / 实验矩阵 / 假设 / 对照 baseline / 消融 ablation / 公平比较 / 可证伪 / 统计功效 power / 多少种子 / 复现 / reproducibility / research plan / experiment design / 可复现。核心纪律:**对照不公平(baseline 放水)/不可证伪 = critical 一票否决** (spec §4.2,STAGE_GATES[5]=[fair_baseline,falsifiable]);消融不隔离/欠功效 = warn;功效是计划阶段反推非结果检验; lint 是启发式有边界,公平/可证伪终判仍需人/领域判断,绝不吹"证明了对照绝对公平"。
-
light0305 Bundle Light Idea Generation 2Light 科研主线第 3 步·提 idea:从模糊方向/数据/文献**结构化发散**(激发算子系统生成,不是泛泛头脑风暴) → 产**值得做且做得成的分层候选 idea**(moonshot 冲刺/solid 稳妥/safe 保底),每个必答**为什么值得做·创新点· 比现有强在哪·解决什么具体问题·能投什么层次**,且**提出时就自带撞车前置自查**(最像的前作+delta,吃上游 literature-search 领域地图)。何时用:用户问"这个方向/数据能做什么" / 要创新点·研究思路·选题·突破口 / 帮我想 idea / brainstorm research ideas / 这 idea 行不行(先生成再送 idea-critique 严审)。触发词:提 idea / 想 idea / 创新点 / 研究思路 / 选题 / 突破口 / 差异化 / 这个方向能做什么 / 有什么可做的 / brainstorm / research idea / ideation / 新点子 / 立项。核心纪律:**不下 novel/无创新的最终判决**(那是 idea-critique 的 critical 门,生成端只产撞车 warn 信号);用**证据根→机制/假设 delta→信息增益→最小判别实验**谱系约束候选; 过 **innovation_engine 反拼接门**,把原创来源分型(新问题/新机制/新测量/新数据/新理论/跨域迁移/工程增量)与 claim 强度绑定; 数量/七角度只作 advisory,机制多样性才是硬门。
-
light0305 Bundle Light Research Ethics 2Light 科研诚信与伦理全生命周期常驻红线门:在研究分诊、审批、采集、变更、分析、投稿、发布与出版后检查 学术不端/数据造假/统计自洽/结论夸大/幻觉与撤稿 引用/自我抄袭/隐私/版权/署名与 AI 披露/软著专利权属/论文工厂洗稿等风险,把"别造假别夸大"从口头建议 落成**可机检、可阻断、可被总控 run_checkpoint 聚合的机读门**(产 light.findings.v1,Critical fail → exit 1)。 何时用:投稿/camera-ready 前、数据或代码发布前、软著提交前、涉人或涉动物实验设计时——这些是硬闸门; 以及任意写作/分析/引用任务的后台诚信扫描。触发词:伦理 / 诚信 / 学术不端 / 造假 / p-hacking / 夸大 / SOTA / 撤稿 / 查重 / 抄袭 / 隐私 / IRB / 知情同意 / 署名 / AI 披露 / 论文工厂 / 软著权属。核心纪律:**信号≠定罪**, AI 不能自评 → 一律"机读门 + 人工复核";查不到写"待核查/UNRESOLVED",绝不编造;全程在线核实、零本地知识库、零付费 key。
-
light0305 Bundle Light Literature Search 2Light 科研主线第 1 步·文献调研:在线多源检索(OpenAlex/arXiv/Crossref/Europe PMC/DOAJ,全程免 key)→ 产出**不是论文列表,是可直接喂 idea 的"领域地图"**:近三年前沿 + 经典奠基 + 跨领域方法移植**三层分别 检索分别排序**,合成研究脉络 + 方法谱系 + 未解问题地图,揪出**最像你设想的那一篇**→喂 idea-critique 撞车预警,诚实标检索覆盖度。何时用:调研某方向 / 找综述 / 了解某领域有哪些工作 / 提 idea 前摸清前作 / 收集中英文论文·专利·标准·数据集·开源·竞赛方案·行业报告。触发词:文献调研 / 文献综述 / 调研方向 / 领域地图 / 研究现状 / 有哪些工作 / 相关工作 / related work / literature review / survey / 前沿 / 综述 / 找论文 / 撞车 / 新颖性摸底 / 跨领域 / 检索式。核心纪律:不臆造 DOI/被引(查不到写 unknown);三层分别排序 不一锅 relevance;撞车只产**信号**不下 novel 判决(归 idea-critique);覆盖度按真实 HTTP 码诚实标。
-
limited-grisaille833 Skill Java Commit 2Generates a Conventional Commits message for staged Java changes. Use when user asks to "write a commit message", "help me commit", "what should my commit say", "summarize my changes", "draft a commit", or "create commit message".
-
promptingcompany Bundle Aiq Research 2Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.
Frequently asked questions
What are Research & Search agent skills?
Research agent skills teach AI agents to gather and synthesize information properly: literature reviews, competitive analysis, web research with citations, and structured summaries. Each SKILL.md encodes a method, not just a prompt, so results stay consistent across runs.
Which Research & Search skills are most installed?
Popular Research & Search skills on SkillMD right now include resume-optimizer, competitive-intelligence, peer-review. Rankings shift as installs change; sort this page by "Most installs" for the live list.
Do Research & Search skills work with Claude Code and Cursor?
Yes. Every skill here ships as a SKILL.md file, an open format that works in Claude Code, Claude.ai, Cursor, Codex, Windsurf, and 60+ other agents. Install one with npx skillmds@latest add <owner>/<name>, or copy the file into your agent's skills directory.