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Systematic competitive intelligence with parallel agent analysis. Analyzes competitors thoroughly and synthesizes into actionable insights.
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Based on SOC occupation classification
| name | competitive-research |
| description | Systematic competitive intelligence with parallel agent analysis. Analyzes competitors thoroughly and synthesizes into actionable insights. |
Conduct systematic competitive research using the competitor-researcher agent. Analyzes each competitor thoroughly and synthesizes findings into actionable insights.
Inspired by Teresa Torres' workflow for systematic competitive intelligence.
When this skill is invoked, start with:
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COMPETITIVE RESEARCH
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Systematic competitive intelligence that compounds over time.
What competitors do you want to analyze?
(Names or URLs)
What's your focus?
• Pricing
• AI features
• UX/product experience
• Go-to-market
• All of the above
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/competitive-research
Then provide:
On first run, you'll be asked where to save research:
Where should I save competitive research files?
Recommendation: Create a directory OUTSIDE your company codebase, like:
- ~/Documents/pm-work/competitive-research
- ~/pm-research
- ~/competitive-intel
This keeps sensitive competitive analysis separate from your company's git repos.
This is your FIRST analysis - thorough and time-consuming. Next time you update this research? Minutes, not hours. That's how systems compound.
| Analysis Round | Time | What Happens |
|---|---|---|
| First | 1 hour | Thorough, structured research |
| Second | 15 min | Update existing files |
| Third | 15 min | Compare to previous versions |
[research-dir]/
└── YYYY-MM-DD-[topic]/
├── competitor-1.md # Individual analysis
├── competitor-2.md # Individual analysis
├── competitor-3.md # Individual analysis
└── synthesis.md # Comparison & recommendations
The synthesis file includes:
If Linear MCP is configured:
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