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Readme & install
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Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill openclaw/skills --skill market-research-agent- _meta.json294 B
- README.md1.1 KB
- SKILL.md2.0 KB
Overview
This skill performs structured market research for any industry, competitor, or business opportunity using a proven framework. It delivers market sizing, trend analysis, competitor mapping, customer segmentation, SWOT and Porter's Five Forces, and practical go-to-market guidance. Outputs separate facts from estimates and highlight assumptions and research gaps.
How this skill works
The agent collects secondary data and synthesizes it into defined sections: market overview, competitive landscape, customer analysis, SWOT, and Porter’s Five Forces. It produces quantitative estimates (TAM/SAM/SOM), trend lists, and a competitor matrix, citing assumptions and noting where primary research is required. Final deliverables include prioritized recommendations and suggested next steps for validation.
When to use it
- Evaluating a new product or feature-market fit
- Preparing an investor memo or pitch deck
- Assessing acquisition or partnership targets
- Entering a new geographic market or vertical
- Benchmarking competitors before strategy shifts
Best practices
- Define market boundaries clearly before sizing (product, geography, customer type)
- State all assumptions and provide ranges for estimates
- Use multiple sources for key stats and flag primary-research needs
- Produce a concise competitor matrix with price/features/positioning
- Prioritize top 3 opportunities with rationale and required evidence
Example use cases
- Estimate TAM/SAM/SOM for launching a B2B SaaS in healthcare in North America
- Map direct and indirect competitors for a consumer fintech app
- Identify customer segments and buying criteria for a premium hardware product
- Run a 1-week rapid scan to validate a new vertical before pilot investment
- Produce a go-to-market plan and recommended channels for a seed-stage startup
FAQ
Estimates are informed by public secondary sources and modeled assumptions; I provide ranges and document assumptions. Primary research or paid data will improve precision.
Can you include a competitor feature comparison?
Yes. I produce a competitor matrix comparing price, features, market position, strengths and weaknesses when sufficient public data exists.
What inputs do you need from me?
At minimum: target market definition, geography, customer type, and any known competitors or constraints. The more context provided, the faster and more precise the output.