Research

Use when user invokes /refresh-research to re-fetch refreshable research sources, detect meaningful changes, and update synthesis files. Supports specific files, categories, staleness thresholds, backfill of source_type, and audit-only dry runs.

Gathers information from multiple sources in parallel, compares what they say, flags where they agree or conflict, and delivers a clean synthesis with a confidence rating for each finding. Useful for making evidence-backed decisions, when evaluating competing claims, during due diligence on a vendor or market, and for building research briefs before strategy sessions. Use when the user says "research this", "synthesize multiple sources", "compare sources", "research report", "what does the ev...

This skill should be used when the user needs structured research and ranking of US academic programs (PhD, Master

This skill should be used when the user needs deep, multi-step web research with source synthesis, citations, skeptical evidence evaluation, confidence/gap analysis, and optional dense/frontier research using parallel agents.

Research & analysis workflow. Investigates questions, gathers findings, optionally validates with a fresh subagent. Produces a report — no code, no PRs, no commits. Use standalone or as a fellowship teammate.

When the user wants <specific task>. Also use when they say "<phrase>" or need <trigger>.

When the user wants to audit, strengthen, or prepare evidence for Experience, Expertise, Authoritativeness, and Trust. Also use before registering proof entries in `project/brain/log.md` or referencing them in `project/brain/editorial.md`.

When the user wants a rigorous iteration loop for an artifact, prompt, briefing, content structure, or Agentic SEO skill. Also use for Karpathy-style experiment runs that need baseline scoring, explicit metrics, stop rules, and keep/reject decisions.

Creates detailed user personas from research data combining demographics, psychographics, behavioral patterns, goals, and pain points. Use when user needs to build personas, segment users, or says "user persona", "create persona", "user segments", "who is our user", "target audience profile", "персона пользователя", "создай персону".

Generates the strategic story connecting your roadmap to company

Synthesises user signals from multiple research sources into a

Patient observer who watches users, systems, or behaviors in their natural environment before drawing conclusions. Counters the rush to interpret with rigorous observation. Use when behavior is misunderstood, when assumptions need grounding in reality, or when an answer requires watching rather than asking. Triggers on: "Goodall", "observe this", "what are users actually doing", "watch and report", "before we interpret", "what's really happening", "field study", "behavioral analysis", or when...

Problem reframer. Changes the reference frame entirely — challenges the coordinate system the problem is being measured in, not the problem itself. Where Descartes strips assumptions from the ground up, Einstein asks: what if we're measuring from the wrong vantage point? Triggers on: "Einstein", "reframe this problem", "what if we're looking at this wrong", "change the lens", "we can't solve this the same way we created it", "is this the right frame", "flip this around", "what does this look ...

First-principles thinker who strips a problem of inherited assumptions and rebuilds reasoning from the ground up. Forces every premise to justify itself. Use when stuck in a problem framing that doesn't seem right, when inherited solutions feel wrong but the alternative isn't clear, or when the question "why are we doing it this way?" deserves a real answer. Triggers on: "Descartes", "first principles", "strip assumptions", "rebuild from scratch", "why are we doing it this way", "question eve...

Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited reports. Costs $2-5 per task.

Idea brainstorming and validation grounded in evidence. Triggers on "brainstorm", "is this worth building", "has anyone built X", "validate my idea", "check if X exists", "research this idea", "what are the prior-art options for Y". Researches GitHub, npm/PyPI, and the web in parallel, then synthesizes a decision-ready brief — not code or designs.

Research the codebase to answer questions. Search for relevant files, gather context, and provide clear answers.

Research-before-coding workflow: systematically search existing solutions before custom implementation. Use when introducing new libraries, tools, or solving unfamiliar problems.

Generates comprehensive analysis reports, executive summaries, and technical documentation. Invoke when user wants to create written reports from data analysis.

Data quality validation and analysis accuracy verification. Invoke when user wants data quality checks, validation, or result verification.

Generates testable research hypotheses and experimental designs. Invoke when user wants to create hypotheses from data insights or design experiments.

Data-driven SEO research and analysis through the Hyper MCP — keyword research, competitor analysis, content planning, AI search visibility (ChatGPT, Claude, Perplexity, Google AI Overviews), backlink trends, search intent classification, page speed / Core Web Vitals, and full site audits. Use when the user asks for an SEO audit, keyword research, content strategy, competitor benchmarks, brand visibility in AI search, ranking history, or any organic search analysis.

Research competitor Facebook and Instagram ads from the Meta Ads Library via the Hyper MCP — search by keyword, pull full ad creative and metadata, enrich with page contact info for lead generation, and surface structured ad-intelligence summaries in chat. Use when the user wants to scrape the Meta Ads Library, spy on competitor ads, monitor new ads in a category, build a lead list from advertisers, or surface creative trends across an industry.

Mine online communities and analyze existing assets to understand what customers actually think, say, and struggle with. Use when the user wants to do customer research, ICP research, voice-of-customer (VOC), review mining, Reddit mining, YouTube comment analysis, G2/Capterra scraping, build customer personas, map jobs to be done, understand churn reasons, or find authentic customer language for copy. Also use when given transcripts, surveys, or support tickets to synthesize.