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From startup-superpowers
Runs initial market research, updates findings, and answers questions about market size, customer segments, buying behavior, pricing benchmarks, and industry trends for startup founders.
npx claudepluginhub sergeigorbatiuk/startup-superpowers --plugin startup-superpowersHow this skill is triggered — by the user, by Claude, or both
Slash command
/startup-superpowers:market-researchThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Help the founder understand the market they're entering — whether it's real, who's in it, how buyers behave, and what they expect to pay. This context strengthens interviews, sharpens hypotheses, and gives the founder a confident answer to "what's the market opportunity?"
Conducts market research, competitive analysis, investor diligence, and tech scans with sourced findings, contrarian views, and decision recommendations.
Researches markets via interactive questioning on scope, then deploys parallel agents for trend analysis, consumer insights, competitive landscape, size estimates (TAM/SAM/SOM), and go/no-go recommendations.
Conducts market research, competitive analysis, investor due diligence, and technology scans with source attribution and decision-oriented summaries.
Share bugs, ideas, or general feedback.
Help the founder understand the market they're entering — whether it's real, who's in it, how buyers behave, and what they expect to pay. This context strengthens interviews, sharpens hypotheses, and gives the founder a confident answer to "what's the market opportunity?"
Read startup/core.md to load project context (name, seed description, type of business — B2B or B2C — and all fields under ## Core).
Check if startup/market-research.md exists.
Load it for context. Infer intent from the conversation — don't ask "what do you want to do?" If the founder is:
last_updated in frontmatterstatus: needs-refresh in frontmatter and offer to re-run the full research or a targeted pass on specific sectionsweb-researcher agent (fast model) with a focused prompt about that market dimension; incorporate findings into the relevant section; save the full output to startup/research/{YYYY-MM-DD}-{topic-slug}-research.md with frontmatter date, topic, and source_skill: market-researchWhen updating the file, follow the format conventions:
version (number), last_updated (ISO date), type (b2b or b2c), and status (draft, complete, or needs-refresh)Market Research — {Project Name}Read before writing, propose before saving, get confirmation.
Load the reference file for the guided first-time workflow:
.claude/skills/market-research/references/initial-market-research.md
The reference file's instructions take over from this point.
Not every web question needs a subagent:
WebSearch / WebFetch (you, the main agent): single-fact lookups ("what does Pendo charge?", "is ACME still active?"), quick verification of a claim the founder made, one data point asked about in flow. Stays in conversation, no persistence needed.web-researcher: multi-source passes that benefit from an isolated context (scanning pricing across a whole category, surveying buyer-behavior signals across communities, structured landscape passes). Output is structured and gets saved to startup/research/{YYYY-MM-DD}-{topic-slug}-research.md for later reference.Rough rule: one fact in flow → inline. Multi-source or results-should-persist → dispatch.