Research
Research, information gathering, and multi-source synthesis
customer-journey-map
by TurboSnails
"Create an end-to-end customer journey map with stages, touchpoints, emotions, pain points, and opportunities. Use when mapping the customer experience, identifying friction points, improving onboarding, or visualizing the user journey."
wicked-garden-ground
by mikeparcewski
Grounding / assumption-check: pull deeper context from the knowledge layer (wicked-estate memory + knowledge) and the bus when uncertain, before acting. Use when: getting mixed signals from the codebase, about to commit to a non-obvious decision, prior decisions might exist for this exact problem, or you want to verify an assumption before action ("am I sure about this?", "have we decided this before?"). Returns relevant memories, knowledge chunks, recent bus events, and linked priors ranked by relevance — not a wall of text. Aliases: grounding, sanity-check, verify-assumption. NOT for: routine "what does this code do" questions (use Read or Grep), broad codebase exploration (use your harness's exploration agent, or search inline), or fetching specific symbols (use the wicked-estate MCP SearchEntity tool directly).
ai-news-digest
by 403544208-crypto
AI每日情报技能。每天自动抓取Y Combinator/Product Hunt/Hacker News等来源的AI创投+技术动态，推送至飞书。触发词：AI情报 / 每日情报 / 跑情报
script-pipeline
by lumeierecollection-blip
Full script generation pipeline — researches topics per channel, checks for duplicates, selects optimal hooks based on retention data, and generates production-ready scripts with strong hooks and retention structure.
ocr-and-documents
by Russ534
"Extract text from PDFs/scans (pymupdf, marker-pdf)."
synthetic-market-research
by BayramAnnakov
Fast, cheap market research using LLM-generated synthetic survey responses with Semantic Similarity Rating (SSR). Runs purchase intent, concept tests, and pricing research in minutes instead of weeks, at $0 per respondent. Based on PyMC Labs' validated methodology (90% correlation with real humans across 57 surveys). Triggers: synthetic research, market research, survey, purchase intent, concept test, consumer research, SSR, synthetic survey, product validation, pricing research, Likert scale.
academic-research-proposal-humanizer
by Daisuke134
Revise a pasted research proposal into natural, evidence-preserving academic prose without adding claims, citations, methods, results, or institutional facts.
wiki-entity-enrichment-from-article
by kzinmr
Create or enrich wiki entity and concept pages from raw articles, multi-source web research, newsletters, and tool/project investigations. Supports both article-driven enrichment and from-scratch entity page creation via website + docs + X/Twitter + GitHub/NPM research.
research-brief
by proompteng
Generate a concise research brief with uncertainty and citations.
ocr-and-documents
by kzinmr
"Extract text from PDFs/scans (pymupdf, marker-pdf)."
spike
by kzinmr
"Throwaway experiments to validate an idea before build."
web-search-researcher
by pratos
Conducts comprehensive web research to find accurate, relevant information. Use when you need modern information only discoverable on the web, documentation, best practices, or technical solutions.
news-shopping
by Merit-Systems
Search Google News and Google Shopping using Serper APIs via x402. USE FOR: - Finding recent news articles on a topic - Current events and breaking news - Product searches and price comparisons - Shopping research and product discovery - Industry news monitoring TRIGGERS: - "news about", "latest news", "recent articles" - "current events", "breaking", "headlines" - "shopping", "buy", "price", "product search" - "compare prices", "where to buy", "deals on" Use agentcash.fetch for Serper endpoints. Both endpoints are $0.04 per call.
pre-adr-drafting
by igor1309
Use when research and discussion need to be turned into structured architectural exploration with options, tradeoffs, provisional boundaries, and open questions before committing to an ADR.
news-shopping
by Merit-Systems
Search Google News and Google Shopping using Serper APIs via x402. USE FOR: - Finding recent news articles on a topic - Current events and breaking news - Product searches and price comparisons - Shopping research and product discovery - Industry news monitoring TRIGGERS: - "news about", "latest news", "recent articles" - "current events", "breaking", "headlines" - "shopping", "buy", "price", "product search" - "compare prices", "where to buy", "deals on" Use npx agentcash fetch for Serper endpoints. Both endpoints are $0.04 per call.
UX Researcher
by viamin
Expert in user research, usability testing, feedback analysis, and user-centered design
account-research
by luisschmitzheadline
Research a company or person and get actionable GTM intel. Works standalone with web search, supercharged when you connect data enrichment or CRM. Trigger with "research [company]", "look up [person]", "intel on [prospect]", "who is [name] at [company]", or "tell me about [company]".
customer-persona-builder
by luisschmitzheadline
Jobs-to-be-Done (JTBD) customer persona development with priority matrix, buying journey mapping, and decision criteria analysis. Creates actionable buyer personas for product and marketing decisions.
competitor-intel
by luisschmitzheadline
Analyzes competitors using web research to provide verified business metrics, actionable leverage strategies, and predicted next moves. Use when user needs competitive intelligence, competitor analysis, market positioning insights, or strategic leverage opportunities.
reddit-insights
by BrianRWagner
Search and analyze Reddit content using semantic AI search via reddit-insights.com MCP server. Use when you need to: (1) Find user pain points and frustrations for product ideas, (2) Discover niche markets or underserved needs, (3) Research what people really think about products/topics, (4) Find content inspiration from real discussions, (5) Analyze sentiment and trends on Reddit, (6) Validate business ideas with real user feedback. Triggers: reddit search, find pain points, market research, user feedback, what do people think about, reddit trends, niche discovery, product validation.
litmus
by Kuberwastaken
"Parallel autonomous ML research agents with a Director, git worktrees for per-agent experiment branches, a Skills library for validated technique reuse, a Synthesizer that distills collective knowledge overnight, and circadian rhythm (leisure 03:00–06:00 for paper reading and creative thinking). Uses OpenClaw sessions_spawn, cron, and steer natively. Use when: (1) start or run ML research agents overnight, (2) check agent status or experiment results, (3) view leaderboard or morning digest, (4) steer or stop agents, (5) ask what agents discovered or are exploring, (6) set up Litmus for the first time. NOT for: general coding, non-ML tasks, or machines without a GPU."
tech-advisor
by CyranoB
ALWAYS use this skill when a user needs help choosing between tech products or evaluating whether a technology is ready for adoption. Searches the web for current data and produces structured, evidence-based recommendations with comparison tables and sourced evidence. Two modes: (1) Product comparison — "X vs Y", choosing between devices, editors, services, frameworks, laptops, or any tech products. (2) Maturity assessment — "is X production ready", "should we adopt X". Trigger on: "MacBook vs ThinkPad", "Supabase vs Firebase", "is Bun stable enough", "help me pick a message broker", "which iPad for note-taking", "our CTO wants us to evaluate X", or any question about choosing tech or evaluating readiness. Do NOT trigger for general web research, news, fact-checking, competitive intel, or debugging.
web-research
by CyranoB
Deep web research skill that searches the web and fetches full page content to produce comprehensive, well-sourced research reports. Use this skill whenever the user asks to research a topic, investigate a question, do a deep dive, compare products or services, look something up online, find information about a product/company/technology, or gather current information from the web. Trigger on phrases like "can you find out about X", "look up X", "what do you know about X (current/recent)", "tell me about X", "research X for me", "help me understand X", "what are people saying about X", "I'm choosing between X and Y", or "search the web for X" when current web info would be valuable. Also trigger when the user needs recent news, pricing, reviews, or real-world adoption data that may have changed since training. Don't trigger for purely conceptual questions that Claude can answer from training data without needing live web sources — unless the user explicitly asks to search the web.
external-pattern-integrator
by Jamie-BitFlight
Integrates patterns from external sources (URLs or local files) into local skills, agents, and plugins. Use when comparing external agent definitions against local equivalents, extracting best practices from frameworks like GSD or BMAD-METHOD, enhancing local skills with external workflow patterns, or adding interoperability with external tool ecosystems. Runs a 3-phase workflow — parallel candidate mapping, contextual enhancement, and validation — with source attribution and backlog tracking for deferred enhancements.