grant-builder

Featured

Grant and challenge proposal support for radiology and medical AI projects. Structures significance, innovation, approach, milestones, and consortium roles while keeping claims evidence-based and executable.

Web & Frontend 223 stars 55 forks Updated yesterday MIT

Install

View on GitHub

Quality Score: 95/100

Stars 20%
78
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Grant-Builder Skill ## Purpose This skill supports competitive proposal writing for: - national R&D grants - multi-institution consortia - challenge proposals - internal pilot funding - translational medical AI project plans - **Korean government grants** (산학협력 / 연구계획서 — MOHW 복지부, MOTIE 산자부, MSS 중기부, and regional industry-academia programs) It is optimized for projects where clinical relevance, multi-site coordination, and executable milestones matter as much as technical novelty. --- ## Korean Government Grant Mode (산학과제 / 연구계획서) When the user requests a Korean industry-academia grant (산학과제) or research plan (연구계획서), apply the adaptations below. Korean program terms are preserved in parentheses because they are the literal form used on the funding agency's template. ### Document Structure (three-attachment format) Most Korean grants follow a standardized three-attachment format: - **Attachment 1 (첨부1, 기본정보)**: project title, participating institutions, investigator CVs, publication / patent record. - **Attachment 2 (첨부2, 매칭확인서)**: per-institution cost-share confirmation, typically finalized after a kickoff meeting between the institutions. - **Attachment 3 (첨부3, 연구계획서)**: the 10-page research plan — structure below. ### Attachment 3 Standard Structure ``` 1. Significance & Aims (약 2p) - clinical problem with quantitative framing - domestic + international trends (3–5 year literature / guideline window) - differentiation of the proposed work 2. Rese...

Details

Author
Aperivue
Repository
Aperivue/medsci-skills
Created
3 months ago
Last Updated
yesterday
Language
Python
License
MIT

Bundled in these plugins

Similar Skills

Semantically similar based on skill content — not just same category