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523 results for "research"
prediction-market-oracle-research
Research prediction markets as data sources or oracle signals for products, agents, dashboards, and corporate decision intelligence. Use for source-grounded analysis of market-implied probabilities, caveats, and integration patterns without investment advice. Use when evaluating prediction markets as a data source or oracle signal for a product, agent, or dashboard.
affaan-mresearch-ops
Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.
affaan-mmarket-research
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.
affaan-mdeep-research
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.
affaan-mresearch-ops
基于证据的当前状态研究工作流，适用于ECC。当用户需要基于当前公开证据和提供的本地上下文获取最新事实、进行比较、丰富信息或获得推荐时使用。
affaan-mdeep-research
使用 firecrawl 和 exa MCP 进行多源深度研究。搜索网络、综合发现，并提供带引用的报告及来源归属。当用户希望对任何主题进行带有证据和引用的彻底研究时使用。
affaan-mmarket-research
进行市场调研、竞争分析、投资者尽职调查和行业情报，提供来源归属和面向决策的摘要。当用户需要市场规模估算、竞争对手比较、基金研究、技术扫描或为商业决策提供依据的研究时使用。
affaan-m
dogfood
Web 应用探索性 QA 测试：排查 Bug、采集证据、生成报告。
nousresearch
research-decision-room
Turn messy user research notes, interviews, support tickets, surveys, and product context into an evidence-backed decision room: a single HTML artifact with an evidence ledger, theme map, confidence heatmap, opportunity matrix, decision memo, and experiment queue. Use when teams need to move from qualitative signals to product or design decisions without fabricating certainty.
nexu-ioswiss-user-research-video-template
Swiss-style user-research narrative template in warm-paper editorial aesthetics. Use when users ask for a premium research deck or story-first live artifact with minimalist typography, high-clarity layout, subtle motion, donut breakdowns, and keyboard/click navigation across slides in a single HTML file.
nexu-io
agent-researcher
Agent skill for researcher - invoke with $agent-researcher
ruvnet
lead-research-assistant
通过分析您的业务、搜索目标公司并提供可执行的联系策略，为您的产品或服务识别高质量潜在客户。非常适合销售、业务拓展和市场营销专业人士。
composiohqcontent-research-writer
协助撰写高质量内容，通过进行研究、添加引用、改进开头、迭代大纲以及为每个部分提供实时反馈。将您的写作过程从单打独斗转变为协作伙伴关系。
composiohq
research-lookup
Compile current scholarly evidence for a scientific manuscript or research brief. Use when the user explicitly asks to gather literature, references, background evidence, competing findings, or a manuscript research packet. Uses Parallel Search by default, Parallel Extract for source verification, Parallel Research for explicitly deep/exhaustive work, optional explicit Parallel Chat, and optional Perplexity only when requested or allowed as a failure fallback.
k-dense-aimarket-research-reports
Build evidence-traceable market research reports and assumption-driven market sizing or forecast scenarios. Use for market definition, industry and customer evidence, competitive landscapes, TAM/SAM/SOM reconciliation, forecast sensitivity, and auditable report scaffolds.
k-dense-airesearch-grants
Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
k-dense-ai
deep-research
通用深度研究 Agent 团队。由 13 个 Agent 构成的流水线，可针对任意主题开展严谨的学术研究。提供 8 种模式：全流程深度研究、快速简报、论文评审、文献综述、事实查核、三段式文献扫描、苏格拉底式引导研究对话，以及可选 meta 分析的系统性综述。覆盖研究问题提炼、导师级苏格拉底式引导、研究方法设计、系统性文献检索、文献来源验证、跨来源综合合成、偏倚风险评估、meta 分析、APA 7.0 格式报告撰写、主编评审、魔鬼代言人质询、伦理审查以及研究后文献动态监测。触发词包括：research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, WHY HOW WHAT papers, 3W literature scan, guide my research, help me think through, 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 三段式文獻掃描, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題, 심층 연구, 문헌 조사, 체계적 문헌고찰, 메타분석, 사실 확인, 연구 방향을 잡아줘, 연구 주제 정하는 것을 도와줘.
imbad0202academic-pipeline
全流程学术研究管线编排器：研究 -> 写作 -> 学术诚信检查 -> 审稿 -> 修改 -> 复审 -> 二次修改 -> 终极学术诚信检查 -> 终稿定稿。高效协同 deep-research、academic-paper 和 academic-paper-reviewer，打造包含强制性学术诚信校验、两轮同行评审与可复现质量关卡的无缝 10 阶段工作流。触发词：academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow, 연구부터 논문까지, 연구 주제 설정부터 논문 완성까지, 논문 전체 워크플로。
imbad0202academic-paper
由 12 个 Agent 协作组成的学术论文写作流水线。提供 11 种工作模式（全流程/规划/大纲/修改/审稿意见辅导/摘要/文献综述/格式转换/引用检查/AI使用声明/审稿反驳审计）。支持 6 种论文类型、5 种引用格式、中英双语摘要，可导出 LaTeX、DOCX（基于 Pandoc）、PDF 及 Markdown。内置文风校准（Style Calibration）、写作质量检查（Writing Quality Check）以及带“铁律（IRON RULE）”标记的违规避坑指南。触发词包含：write paper, academic paper, guide my paper, parse reviews, audit my rebuttal, check my response draft, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見, 評估回覆, 논문 작성, 초록 작성, 논문 수정, 논문 계획을 도와줘, 심사 의견 반영, 답변서 점검, AI 사용 고지。
imbad0202academic-paper-reviewer
基于动态审稿人人设的多视角学术论文审稿工具。模拟 5 位具备特定领域专业知识的独立审稿人（主编 + 3 位同行审稿人 + 魔鬼代言人）。支持全盘审稿、修回复审（验证模式）、快速评估、聚焦研究方法、苏格拉底式引导以及审稿人校准模式。触发词包括：review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy, 논문 심사, 동료 심사, 모의 심사, 심사자 관점에서 평가, 심사자 보정。
imbad0202
autoresearch
适用于任何编程任务的自主迭代实验循环。引导用户定义目标、可衡量的指标和范围约束，然后运行一个自主循环：代码修改、测试、测量，并保留或丢弃结果。灵感来自 Karpathy 的 autoresearch。用途：自主改进、迭代优化、实验循环、自动研究、性能调优、自动化实验、爬山法、自动尝试、优化代码、运行实验、自主编码循环。不适用于：一次性任务、简单 bug 修复、代码审查，或没有可衡量指标的任务。
github
customer-research
当用户想要进行、分析或综合客户研究时使用。当用户提到“客户研究”、“ICP研究”、“与客户交谈”、“分析转录稿”、“客户访谈”、“调查分析”、“支持工单分析”、“客户之声”、“VOC”、“构建用户画像”、“客户画像”、“待完成工作”、“JTBD”、“客户怎么说”、“客户在为什么挣扎”、“Reddit挖掘”、“G2评论”、“评论挖掘”、“数字水坑”、“社区研究”、“论坛研究”、“竞品评论”、“客户情绪”或“找出客户流失/转化/购买的原因”时使用。既用于分析现有研究资产，也用于从在线来源收集新研究。如需根据研究撰写文案，请参见copywriting。如需根据研究优化页面，请参见cro。
coreyhaines31
gpt-researcher
Autonomous deep research from Codex via MCP
assafelovic
persona-researcher
组织研究——管理参考文献、笔记和协作。
googleworkspace