research-to-decision-pro-skill
by Roy Yuen
Turn messy research into rigorous, evidence-backed decision memos with specialized modes for technical and business leads.
- Compare complex product options using weighted tradeoff frameworks
- Synthesize raw research notes into structured technical decision memosHighlight
- Map evidence-backed logic chains to justify high-stakes investments
Secure checkout via Stripe
Included in download
- Compare complex product options using weighted tradeoff frameworks
- Synthesize raw research notes into structured technical decision memosHighlight
- terminal automation included
- Ready for Claude Code
Sample Output
A real example of what this skill produces.
Decision: Migrate to Postgres or stay on Firebase? Mode: Technical Recommendation: Postgres. Evidence: Firebase costs grew 40% last quarter; Postgres supports our complex relational joins natively. Tradeoff: Postgres requires higher dev-ops overhead. Next Step: Benchmark migration of 'Users' table.
research-to-decision-pro-skill
by Roy Yuen
Turn messy research into rigorous, evidence-backed decision memos with specialized modes for technical and business leads.
Secure checkout via Stripe
Also available in a bundle
Included in download
- Compare complex product options using weighted tradeoff frameworks
- Synthesize raw research notes into structured technical decision memosHighlight
- terminal automation included
- Ready for Claude Code
- Instant install
Sample Output
A real example of what this skill produces.
Decision: Migrate to Postgres or stay on Firebase? Mode: Technical Recommendation: Postgres. Evidence: Firebase costs grew 40% last quarter; Postgres supports our complex relational joins natively. Tradeoff: Postgres requires higher dev-ops overhead. Next Step: Benchmark migration of 'Users' table.
About This Skill
What it does
The Research-to-Decision Pro skill transforms information overload into actionable clarity. It moves beyond standard "research dumps" by applying rigorous decision-making frameworks to compare options, evaluate tradeoffs, and provide a single, evidence-backed recommendation.
Why use this skill
Prompting an AI for a recommendation often results in vague summaries or "hallucinated" confidence. This skill enforces a structured logic chain that separates verified evidence from inferred assumptions. It is specifically designed for developers, founders, and product leaders who need to justify high-stakes choices with a formal decision memo.
Specialized Personas
The skill operates in four distinct modes to ensure the logic aligns with your specific goals:
- Technical: Focuses on architecture, migration costs, and vendor lock-in.
- Founder: Prioritizes ROI, execution speed, and downside risk.
- PM: Focuses on user impact, delivery risk, and dependencies.
- General: Balanced support for operational or business questions.
What the output looks like
Every response follows a standardized format including a clear decision question, a weighted criteria matrix, a comparison of tradeoffs, identified unknowns, and immediate next steps. You receive a professional decision memo ready for stakeholders or internal documentation.
Use Cases
- Compare complex product options using weighted tradeoff frameworks
- Synthesize raw research notes into structured technical decision memosHighlight
- Map evidence-backed logic chains to justify high-stakes investments
- Generate prioritized recommendations based on custom decision criteria
Known Limitations
- Not suitable for real-time financial trading decisions. - Accuracy depends on the quality of provided research or external data sources. - Does not replace legal or compliance counsel.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/research-to-decision-pro-skill | tar xz -C ~/.claude/skills/Free skills install directly. Paid skills require purchase - use the download button above after buying.
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