market-research
Run market research, competitive analysis, investor due diligence, and industry scans. Use when the user wants market sizing, competitor comparisons, fund research, or tech scans.
How do I install this agent skill?
npx skills add https://github.com/c0x12c/ai-toolkit --skill market-researchIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill is generally safe but carries a minor risk common to web-research tools. It fetches information from the internet and writes reports to local files, which could allow a malicious website to influence the agent's output or the content of the saved files if the data is not properly sanitized.
- Socketpass
No alerts
- Snykwarn
Risk: MEDIUM · 1 issue
What does this agent skill do?
Market Research
Make research that helps decisions, not research for show.
When to Use
- Researching a market, company, investor, or tech trend
- Building TAM/SAM/SOM numbers
- Comparing competitors
- Checking investor fit before outreach
- Testing a thesis before building
Process
1. Pick the Research Type
Figure out which kind of research the user needs:
- Investor / Fund Check
- Competitor Check
- Market Size
- Tech / Tool Research
2. Run Investor / Fund Check
Get:
- Fund size, stage, check size
- Portfolio companies that matter
- Public thesis and recent deals
- Why they fit or don't fit
- Red flags
3. Run Competitor Check
Get:
- What the product really does (not marketing fluff)
- Funding and investors
- Traction if public
- How they get users and what they charge
- Strengths, weaknesses, gaps
4. Run Market Size
Use:
- Top-down from reports
- Bottom-up from real customer numbers
- Show your math. Every guess should be clear.
5. Run Tech / Tool Research
Get:
- How it works
- Trade-offs and who's using it
- How hard to set up
- Lock-in, security, and risk
6. Write It Up
Structure every deliverable as:
- Quick summary (2-3 sentences)
- Key findings
- What this means
- Risks and caveats
- What to do next
- Sources
Rules
- Every big claim needs a source.
- Use recent data. Flag old data.
- Include the bad news too. Show risks.
- End with a decision, not just a summary.
- Keep facts, guesses, and suggestions separate.
- All numbers have sources or are marked as guesses.
- Old data is flagged.
- The suggestion follows from the facts.
- Someone can make a decision from this.
Gotchas
- Top-down TAM is lazy and always wrong. "10% of the $X billion market" is not analysis. Bottom-up from real customer numbers or go home.
- Analyst reports have built-in bias. Reports from vendors (like AWS sizing the cloud market) overstate their own segment. Use independent sources.
- Revenue proxies are unreliable. SimilarWeb traffic estimates can be off by 5x. Combine multiple signals: hiring, social, Crunchbase, app store rankings.
- Don't confuse market size with addressable market. The CRM market is $80B, but if you're building for freelancers, your market is a fraction of that.
- Recency matters. A market growing 40% in 2024 might be flat in 2026. Always check the latest data points, not just the headline number.
Output
Save to the project's 02-research/ folder.
Format each deliverable with: quick summary, key findings, what this means, risks and caveats, next steps, and sources.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/c0x12c/ai-toolkit/market-research">View market-research on skillZs</a>