Research
Research, information gathering, and multi-source synthesis
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".
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]".
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.
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]".
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.
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.
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.
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]".
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.
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。"
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".
karlmarx-skill
by firmamental-liveborninfant247
Use Marxist methodology for deep structural analysis. Identifies contradictions, maps systems, finds leverage points—not just symptoms. Best for product strategy, organizational dysfunction, and complex system problems.
zhuanxing-ai-daily
by wikicc2013
转型有术 · 企业 AI 每日早报 Agent。当用户希望了解过去 24 小时全球企业 AI 动态、阅读每日 AI 早报、扫描企业级 AI 资讯（产品发布/融资/部署案例/组织变革/基础设施/咨询研究/监管）时，必须使用本技能。触发词包括：「转型有术日报」「转型有术早报」「跑一下日报」「跑一下转型有术早报」「zhuanxing-ai-daily」「采集 AI 文章」「今天的 AI 新闻」「AI 早报」「AI 日报」「企业 AI 资讯」「扫一下 AI」「过去 24 小时 AI 动态」「昨天 AI 圈发生了什么」「补充 X 篇」。即便用户只说「采一下」「跑下今天的 AI」「看看昨天的 AI 动态」「日报跑一下」，只要上下文涉及企业 AI 资讯的批量采集→去重→筛选→翻译→Markdown 交付，必须触发本技能。本技能聚焦「企业 AI」视角（B2B、落地、商业化、组织变革、咨询研究），不报道纯学术论文、消费级 AI 玩具、AI 艺术等。本版本（v5.1）在 Claude.ai 对话内单次执行，使用 web_fetch + web_search 抓取 181 个信源（全覆盖审计）——Karpathy 2026/01 推荐的 92 信源 + v4 原 64 + 用户扩展 28 个，由 Claude 直接翻译并输出一份完整 Markdown 早报，目标 30-50 篇按实际输出。v5.1 在 v5 跑过两次后修复了"抓取覆盖率不可见、Tier 0 24h 窗口太窄、Substack/微信公众号反复 fetch 失败、新增 28 源 0 利用率、目标 60 落差大"等真实问题。区别于同家族 skill：本技能是「每日全景早报」，不同于 enterprise-ai-radar（单家企业深度情报）、enterprise-ai-product-radar（周/月产品扫描）、ai-report-radar（研究报告扫描）、global-case-radar（已定型案例扫描）。
meihua-yishu
by fdghsfdhsr
Meihua Yishu (梅花易數) Plum Blossom I Ching divination skill. Use when users request divination, fortune telling, hexagram casting, or character analysis (測字). Triggers on: 占卜, 算卦, 問卦, 起卦, 解卦, 測字, 拆字, meihua, plum blossom, I Ching divination, 梅花易數.
Constraint Enumeration Protocol
by Droptops
It remains decision-useful rather than merely verbose.
carrier-relationship-management
by affaan-m
Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.
google-maps-reviews-api-skill
by browser-act
"This skill is designed to help users automatically extract reviews from Google Maps via the Google Maps Reviews API. Agent should proactively apply this skill when users request to find reviews for local businesses (e.g., coffee shops, clinics), monitor customer feedback for a specific brand or location, analyze sentiment of reviews for competitors, extract reviews for a chain of stores or services, track reputation of a local restaurant, gather user testimonials for a specific venue, conduct market research on service quality of local businesses, monitor reviews for a new retail location, collect feedback on public attractions or parks, identify common complaints for a specific service provider, research the best-rated places in a city, analyze recurring themes in reviews for a specific industry."
google-news-api-skill
by browser-act
"This skill helps users automatically extract structured news data from Google News via BrowserAct API. Agent should proactively apply this skill when users express needs like searching for news about a specific topic, tracking industry trends, monitoring public relations or sentiment, collecting competitor updates, getting latest reports on specific keywords, monitoring brand exposure in media, researching market hot topics, summarizing daily industry news, tracking media activities of specific individuals, retrieving hot events from the past 24 hours, extracting structured data for market research, monitoring global breaking news."
google-maps-search-api-skill
by browser-act
"This skill is designed to help users automatically extract business data from Google Maps search results. The Agent should proactively apply this skill when the user makes the following requests searching for coffee shops in a specific city, finding dentists or medical clinics nearby, tracking competitors' locations in a certain area, extracting business leads from Google Maps lists, gathering restaurant data for market research, finding hotels or accommodation options in a region, locating specific services like coworking spaces or gyms, monitoring new business openings in a neighborhood, collecting contact information and addresses for sales prospecting, analyzing price ranges and cuisines of local eateries, getting ratings and review counts for a list of businesses, exporting local business data into a CRM or database."
amazon-reviews-api-skill
by browser-act
"This skill helps users automatically extract Amazon product reviews via the Amazon Reviews API. Agent should proactively apply this skill when users express needs like getting reviews for Amazon product with ASIN B07TS6R1SF, analyzing customer feedback for a specific Amazon item, getting ratings and comments for a competitive product, tracking sentiment of recent Amazon reviews, extracting verified purchase reviews for quality assessment, summarizing user experiences from Amazon product pages, monitoring product performance through customer reviews, collecting reviewer profiles and links for market research, gathering review titles and descriptions for content analysis, scraping Amazon reviews without requiring a login."
web-research-assistant
by browser-act
AI-powered web research assistant that leverages BrowserAct API to supplement restricted web access by searching the internet for additional information. Designed for OpenClaw and Claude Code.
amazon-product-api-skill
by browser-act
"This skill helps users extract structured product listings from Amazon, including titles, ASINs, prices, ratings, and specifications. Use this skill when users want to search for products on Amazon, find the best selling brand products, track price changes for items, get a list of categories with high ratings, compare different brand products on Amazon, extract Amazon product data for market research, look for products in a specific language or marketplace, analyze competitor pricing for keywords, find featured products for search terms, get technical specifications like material or color for product lists."
amazon-product-api-skill
by browser-act
"This skill helps users extract structured product listings from Amazon, including titles, ASINs, prices, ratings, and specifications. Use this skill when users want to search for products on Amazon, find the best selling brand products, track price changes for items, get a list of categories with high ratings, compare different brand products on Amazon, extract Amazon product data for market research, look for products in a specific language or marketplace, analyze competitor pricing for keywords, find featured products for search terms, get technical specifications like material or color for product lists."