market-research
Skill1 starsChanged 51 days agoMITView on GitHub
Size and describe a market - segments, customers, trends, pricing norms and demand signals - from public sources, with every number sourced. Use when the user asks how big a market is, who the customers are, whether there is demand, or wants a market overview for a product idea.
113 other projects use a version of this.
Adopted by
Most recently taken up by
- Rojios/everything-claude-codetheir own version, first seen Nov 8, 2026
- Adelie-Squad/solosquadtheir own version, first seen Nov 8, 2026
- darkweb19/skillstheir own version, first seen Nov 8, 2026
- ahmadvahidi/skill-atlastheir own version, first seen Nov 8, 2026
- CatCatUncle/openworkbuddytheir own version, first seen Nov 5, 2026
- Cure-Consulting-Group/ProductEngineeringSkillstheir own version, first seen Nov 4, 2026
Used with
Projects with it also use everything-claude-code, everything-claude-code-conventions and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
InfopibeSkilleverything-claude-code
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- +1 more from Infopibe
Other versions113 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 113
- affaan-m/ECC★ 246ksame name
- xu-xiang/everything-claude-code-zh★ 1.9ksame name
- CatCatUncle/openworkbuddy★ 398same name
- shawnpang/startup-founder-skills★ 331same name
- loulanyue/awesome-claude-notes★ 272same name
- alexsmedile/hormozi-skills★ 208same name
- okikusan-public/stock_skills★ 134same name
- cohen-liel/hivemind★ 108same name
- extruct-ai/gtm-skills★ 108same name
- tpavanipradeep/everything-claude-code★ 104same name
103 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository15 other files it gives its agents.
- academic-researchSkill
- codebase-auditSkill
- code-documentationSkill
- code-reviewSkill
- competitive-analysisSkill
- data-analysisSkill
- email-assistantSkill
- fullstack-dev-teamSkill
- github-integrationSkill
- pdf-analysisSkill
- research-paperSkill
- sql-analysisSkill
- ui-ux-designSkill
- web-researchSkill
- web-searchSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 99 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 40
Demand signals: search trends, funding activity, job postings, community size.
- Distinctive: line 53
No access to paid databases.
“Common” is measured: kept by at least 6 in 10 of the 99 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Market Research
Overview
Produces a sourced market overview: definition, size (top-down and bottom-up), segments, buyer needs, trends, pricing, and demand signals — with assumptions visible so the user can challenge them.
When to Use
- "How big is the market for…", "who would buy…", "is there demand for…"
- Early product or startup validation, investor memo prep, go-to-market planning.
For a head-to-head look at specific competitors, use competitive-analysis.
Usage
- Define the market precisely: product category, geography, customer type (B2B/B2C), year.
- Size it two ways:
- Top-down: find published market estimates; note publisher, year and method. Estimates often disagree — show the range.
- Bottom-up:
number of target customers × adoption rate × price. Source each input; label assumptions as assumptions.
- Segment by the dimension that changes buying behaviour (company size, use case, income, region).
- Customer needs: what job they hire the product for, current alternatives, switching costs. Use reviews, forums and surveys as evidence.
- Trends: 3–5 forces changing the market (regulation, technology, cost curves), each with a source.
- Pricing norms: typical price points and models.
- Demand signals: search trends, funding activity, job postings, community size.
- Output as a brief with a TL;DR, the sections above, a sizing table with formulas, and a source list. End with the 3 biggest unknowns.
Examples
Prompt: "How big is the market for AI meeting-notes tools for small businesses in India?"
The agent defines the segment (SMBs with 10–200 employees), finds SMB counts from government statistics, estimates adoption from comparable SaaS categories, applies local pricing, and shows the top-down range from analyst reports alongside the bottom-up estimate.
Limitations
- Public market-size reports vary wildly in quality; treat them as rough ranges.
- Bottom-up numbers are only as good as their assumptions — they are shown so the user can change them.
- No access to paid databases.
Changelog
- 1.0.0 — Initial release.
Does it work?
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