Research
Research, information gathering, and multi-source synthesis
lead-enrich
by outreachmagic
Research anyone by name and company. Pulls back their LinkedIn, job title, bio, company domain, and website. Works standalone with a Serper API key, no heavy setup. With Outreach Magic, it checks your pipeline so you never pay twice for the same lead data.
fact-checker
by Shubhamsaboo
Systematic fact verification and misinformation identification using evidence-based analysis. Use when: verifying claims, checking facts, identifying misinformation, evaluating source credibility, or when user asks to "fact check", "verify", "is this true", or mentions claims that need validation.
strategy-advisor
by Shubhamsaboo
High-level strategic thinking and business decision guidance for planning and direction-setting. Use when: making strategic decisions, evaluating business options, setting direction, analyzing trade-offs, or when user mentions strategy, business planning, competitive analysis, or long-term planning.
academic-researcher
by Shubhamsaboo
Academic research assistant for literature reviews, paper analysis, and scholarly writing. Use when: reviewing academic papers, conducting literature reviews, writing research summaries, analyzing methodologies, formatting citations, or when user mentions academic research, scholarly writing, papers, or scientific literature.
deep-research
by Shubhamsaboo
Comprehensive research assistant that synthesizes information from multiple sources with citations. Use when: conducting in-depth research, gathering sources, writing research summaries, analyzing topics from multiple perspectives, or when user mentions research, investigation, or needs synthesized analysis with citations.
sprint-planner
by Shubhamsaboo
Agile sprint planning with story estimation, capacity planning, and sprint goal setting. Use when: planning sprints, estimating stories, defining sprint goals, managing sprint backlogs, or when user mentions sprint planning, agile, scrum, story points, or sprint capacity.
decision-helper
by Shubhamsaboo
Structured decision-making frameworks for evaluating options and making informed choices. Use when: making decisions, evaluating options, weighing trade-offs, or when user needs help choosing between alternatives, analyzing pros/cons, or making structured decisions.
nature-citation
by Yuan1z0825
Add strict Nature/CNS citations to manuscript text by splitting long passages into citable segments, searching only accepted flagship and subjournal titles from Nature Portfolio, the AAAS Science family, and Cell Press, filtering by publication time range, and exporting one reference-manager-ready output by default. Use this skill whenever the user asks to input text and automatically get references, add citations to a paragraph/manuscript, find Nature-series or CNS support for statements, create text-to-reference correspondence, "分段引用", "自动给出引用", "Nature系列引用", "CNS及子刊", "支撑文献", "补引用", "找引用", or export EndNote/RIS/ENW/Zotero RDF. Also trigger on general academic-writing citation needs even without the word "Nature", such as adding references while writing a paper, finding sources/literature for a claim, building a reference list, citation/referencing for academic writing, and Chinese phrasings like 学术写作引用、写论文加引用、写paper找文献、加参考文献、配文献、引用文献、文献支撑.
nature-academic-search
by Yuan1z0825
Multi-source literature search, citation verification, MeSH search strategy, citation file management (.nbib/.ris/.bib conversion), and reference management (BibTeX, related articles, ID conversion) via MCP tools (PubMed, CrossRef, arXiv, Scopus, ScienceDirect). Use when the user needs coordinated multi-step literature workflows beyond a single MCP call. Also trigger on general literature-search needs during academic writing even without the word "Nature", such as searching for papers/literature, doing a literature review, verifying a citation, converting citation files, and Chinese phrasings like 文献检索、查文献、找文献、 文献综述检索、查论文、引文核对、参考文献管理、文献去重.
openai-knowledge
by openai
Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable openaiDeveloperDocs.
scientific-problem-selection
by anthropics
This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".
knowledge-synthesis
by anthropics
Combines search results from multiple sources into coherent, deduplicated answers with source attribution. Handles confidence scoring based on freshness and authority, and summarizes large result sets effectively.
source-management
by anthropics
Manages connected MCP sources for enterprise search. Detects available sources, guides users to connect new ones, handles source priority ordering, and manages rate limiting awareness.
account-research
by anthropics
Research a company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect enrichment tools or your CRM. Trigger with "research [company]", "look up [person]", "intel on [prospect]", "who is [name] at [company]", or "tell me about [company]".
competitive-analysis
by anthropics
Research competitors and compare positioning, messaging, content strategy, and market presence. Use when analyzing a competitor, building battlecards, identifying content gaps, comparing feature messaging, or preparing competitive positioning recommendations.
company-research
by deanpeters
Create a company research brief with executive quotes, product strategy, and org context. Use when preparing for interviews, competitive analysis, partnerships, or market-entry work.
ctf-osint
by ljagiello
Provides open source intelligence techniques for CTF challenges. Use when gathering information from public sources, social media, geolocation, DNS records, username enumeration, reverse image search, Google dorking, Wayback Machine, Tor relays, FEC filings, or identifying unknown data like hashes and coordinates.
competitive-intelligence
by anthropics
Research your competitors and build an interactive battlecard. Outputs an HTML artifact with clickable competitor cards and a comparison matrix. Trigger with "competitive intel", "research competitors", "how do we compare to [competitor]", "battlecard for [competitor]", or "what's new with [competitor]".
webclaw
by 0xMassi
Web extraction engine with antibot bypass. Scrape, crawl, extract, summarize, search, map, diff, monitor, research, and analyze any URL — including Cloudflare-protected sites. Use when you need reliable web content, the built-in web_fetch fails, or you need structured data extraction from web pages.
user-research-synthesis
by anthropics
Synthesize qualitative and quantitative user research into structured insights and opportunity areas. Use when analyzing interview notes, survey responses, support tickets, or behavioral data to identify themes, build personas, or prioritize opportunities.
call-prep
by anthropics
Prepare for a sales call with account context, attendee research, and suggested agenda. Works standalone with user input and web research, supercharged when you connect your CRM, email, chat, or transcripts. Trigger with "prep me for my call with [company]", "I'm meeting with [company] prep me", "call prep [company]", or "get me ready for [meeting]".
stock_analyzer
by ZhuLinsen
"分析股票和市场。当用户想要分析单个或多个股票，或进行市场复盘时调用。"
scientific-problem-selection
by anthropics
This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".
brand-strategy-guide
by DevinKuang
品牌全案策略指南 — 基于《品牌全案策略指南2.0》知识体系，通过深度对话式信息收集， 自动生成包含市场调研、战略定位、战略执行三阶段的完整品牌全案方案。 三种工作模式： - 标准模式：3 阶段深度对话（信息收集→战略定位提问→执行校验提问）→ 内容生成 → 格式化输出 - brief 模式（推荐深度方案）：用户填写 Word 问卷（output/brief_questionnaire.docx）→ skill 读取 Word 提取信息 → 3 个 Agent 分工生成（验证→市场研究→策略定位→执行规划）→ 合并 → 格式化输出。适合需要 80+ 页深度方案的场景。 - MD 输出模式（内容与排版解耦）：策略内容生成 → 结构化 MD brief 交付（非散文，精确到每页标题/数据/图表/案例）→ 用户审阅确认后，单独使用 guizang-ppt-skill 或 ppt-master 将 MD 转为可视化成品。适合 80-100+ 页大型方案，避免策略内容与排版代码在同一上下文窗口中互相挤占。 用途：输入行业、品牌、产品、团队等基本信息，通过三阶段深度对话（信息收集→战略定位提问→执行校验提问）， 生成包含市场调研、战略定位、战略执行的完整品牌全案方案。每个关键策略判断必有案例佐证。 输出格式：HTML（调用 guizang-ppt-skill）或 PPTX（调用 ppt-master），或结构化 MD brief（MD 输出模式，供下游排版 skill 使用）。禁止输出非结构化散文式 MD 作为最终交付物。 触发词：「做品牌全案」「品牌策略」「品牌方案」「帮我做个品牌定位」「新品牌怎么做」 「品牌战略规划」「生成品牌全案」「帮我做品牌策划」「打造品牌」。 English triggers: "brand strategy", "brand positioning", "brand plan", "create a brand", "brand blueprint", "how to build a brand", "brand consulting". DO NOT activate for: 纯设计需求（logo设计用 logo-generator）、已完成的品牌方案修改、 纯市场调研不涉及策略生成、翻译任务。