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feasibility-aware-study-planner

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Designs a realistic, execution-aware biomedical study version under explicit constraints of samples, time, budget, data access, lab capacity, team skill, and validation resources. Always use this skill when the user has a real study idea, a candidate route, or a partially framed project but cannot assume ideal conditions. If critical feasibility inputs are missing, first clarify what resources are currently available, what resources may be obtainable, and what resources are realistically unavailable. Do not invent access, capabilities, collaborations, or validation resources. Focus first on feasibility-constrained study framing, route narrowing, dependency control, and minimum viable study design.

When to use

• feasibility-constrained study framing
• route narrowing
• dependency control
• minimum viable study design
• resource-matched study design
• execution burden control
• constraint-aware protocol framing

When not to use

• inventing access, capabilities, collaborations, or validation resources
• assuming ideal conditions
• confusing ambitious study design with good study design

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