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2 months ago
Catalog Refreshed
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Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill openclaw/skills --skill firm-market-research-pack- _meta.json313 B
- SKILL.md3.7 KB
Overview
This skill provides a complete market research and competitive intelligence pack for firms of any size. It bundles six tools to run competitive analysis, market sizing (TAM/SAM/SOM), financial benchmarking, structured web-based research, professional report generation, and continuous competitor monitoring. Outputs are formatted for cross-department use — CEO, CFO, CTO, Marketing, Sales, Legal, and HR.
How this skill works
Each tool focuses on a specific research task and can be run independently or combined into a workflow. The competitive analysis creates feature matrices, SWOTs, and positioning maps; market sizing runs top-down and bottom-up TAM/SAM/SOM estimates; financial benchmarking compares unit economics and pricing; web research gathers OSINT from specified sources; report generation compiles findings into a professional Markdown report; monitoring tracks ongoing competitor signals. Inputs include sector, geography, competitor lists, metrics, and watch attributes to tailor outputs.
When to use it
- Assess new market entry or expansion strategy
- Build competitive battlecards for sales and product teams
- Estimate market size for pitch decks and financial planning
- Benchmark pricing, CAC, LTV and other unit economics
- Automate monitoring of competitor moves, funding, headcount, and pricing
Best practices
- Provide a clear sector and geography to focus data collection and reduce noise
- Combine top-down and bottom-up sizing for conservative and aggressive scenarios
- Standardize competitor lists and metric definitions before benchmarking to ensure comparability
- Use web_research with a short list of trusted sources for higher signal-to-noise ratio
- Run monitoring as an ongoing process and export periodic report snapshots for stakeholders
Example use cases
- Pre-launch market assessment: TAM/SAM/SOM plus target customer segments and positioning map
- Investor-ready materials: financial benchmark tables and a concise executive report
- Sales enablement: competitive feature matrix and battlecards for objection handling
- Product strategy: feature gap analysis and technology landscape for roadmap prioritization
- Continuous intel: add competitors to monitoring to get alerts on pricing, funding, or hiring changes
FAQ
Sizing combines top-down and bottom-up approaches; accuracy depends on input assumptions and source quality. Treat outputs as estimates and verify high-impact assumptions.
Can I limit web research to specific sources?
Yes. You can pass a list of sources (for example, Crunchbase, G2, LinkedIn) to focus OSINT collection and reduce irrelevant results.