Evaluate high-stakes decisions using the STREAM 6-layer framework.
npx skills add https://github.com/fortunto2/solo-factory --skill solo-stream
Please help me install this Agent Skill. Skill: solo-stream Source: https://github.com/fortunto2/solo-factory/tree/main/skills/stream Command: npx skills add https://github.com/fortunto2/solo-factory --skill solo-stream
Streamlines high-stakes decision making by guiding founders through a disciplined STREAM 6-layer framework to generate a clear verdict and action plan.
Describe your decision in one sentence to start the STREAM analysis.
High-intent search queries and answers about installing and using this skill.
To evaluate high-stakes startup decisions under uncertainty, you can use a structured decision-analysis framework like STREAM to generate formal verdicts, scores, and action plans. It guides founders through strategic bets and product pivots.
The STREAM framework is a 6-layer decision-analysis model covering Epistemological, Temporal, Action, Stakes, Social, and Meta perspectives. It provides founders with structured scoring and synthesized recommendations for strategic bets.
To analyze a product pivot using a multi-layer framework, describe your decision in one sentence to initiate the STREAM analysis. It evaluates the pivot across six perspectives to produce a clear verdict and action plan.
Yes, you can use this STREAM decision-analysis tool for evaluating partnerships. It is designed for strategic bets, partnerships, and market pivots where risk and uncertainty are high, providing structured recommendations.
The framework integrates with optional decision-saving workflows to preserve your evaluation results. This allows you to document the structured scoring and synthesized recommendations generated for your strategic bets.
Use a 6-layer decision framework over standard risk assessment when facing high-stakes choices under uncertainty, such as resource allocation or market pivots. It provides a formal, multi-layer analysis with synthesized recommendations rather than simple metrics.
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