القائمة
Systematic competitive intelligence with parallel agent analysis. Analyzes competitors thoroughly and synthesizes into actionable insights.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
Plan the v1→v2→v3 agency progression for AI features. Walk through mapping how autonomy increases over time, define promotion criteria, and generate artifacts for stakeholder alignment. Based on CC/CD framework.
Expert system for designing and architecting AI agent workflows based on proven Meta methodologies. Use when users need to build AI agents, create agent workflows, solve problems using agentic systems, integrate multiple tools into agent architectures, or need guidance on agent design patterns. Helps translate business problems into structured agent solutions with clear scope, tool integration, and multi-layer architecture planning.
Calculate AI feature costs and challenge if you actually need it. Invokes ai-cost-analyzer agent for detailed economics modeling.
Diagnose why an AI feature is underperforming, hallucinating, or behaving inconsistently. Uses 4D audit to work backwards from symptoms to root cause.
Pre-launch health check that blocks you from shipping broken AI features. Grades 6 dimensions (model selection, data quality, cost, monitoring, failure UX, optimization).
Post-launch AI feature calibration workflow. Document error patterns, review eval performance, and decide on agency promotion. Based on CC/CD framework for continuous calibration of AI products.
استنادا إلى تصنيف SOC المهني
| 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:
/strategy-session "competitive positioning" - Discuss findings strategicallyPhilosophy (Teresa Torres):