Structure grant proposals for radiology and medical AI projects.
npx skills add https://github.com/Aperivue/medsci-skills --skill grant-builder
Please help me install this Agent Skill. Skill: grant-builder Source: https://github.com/Aperivue/medsci-skills/tree/main/skills/grant-builder Command: npx skills add https://github.com/Aperivue/medsci-skills --skill grant-builder
This skill provides a structured, rule-based framework to compose competitive grant proposals for radiology and medical AI projects, including Korea's government grant formats, milestone planning, and consortium roles.
Provide a three-attachment grant plan for an AI radiology project.
High-intent search queries and answers about installing and using this skill.
To write a grant proposal for AI in radiology, you need a phase-based structure covering Significance, Innovation, and Approach, along with milestone planning and risk mitigation to align with reviewer expectations and ensure feasibility.
Structuring a multi-institution consortium research plan requires defining collaborative roles, phase-driven milestone planning, and assembling mandated attachments like cost-share and research plan templates to ensure compliance and feasibility.
Yes, you can align with Korean government R&D grant formats by using provisions for 산학과제 and 연구계획서 templates, ensuring required sections for basic information, cost-share, and research plans are correctly assembled.
To prevent overclaiming in radiology AI grant applications, apply anti-hallucination guardrails, use evaluation heuristics, and follow writing tips that improve feasibility and reviewer alignment while maintaining strict compliance.
Yes, the framework helps assemble required attachments for national R&D grants, including Attachment 1 for basic information, Attachment 2 for cost-share, and Attachment 3 for the research plan, with mandated content outlines.
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