What problem does it solve? Turning validated research ideas into a reviewer-ready funding application requires agency-specific structure, language, and review criteria that are tedious to get right. This Skill automates the full pipeline from literature positioning and gap statement to aims design, section drafting, external panel review, and revision. ## Core Features & Use Cases - Multi-Agency Templates: Supports KAKENHI (Japan), NSF (US), NSFC (China including 面上/青年/优青/杰青/海外优青/重点), ERC, DFG, SNSF, ARC, NWO, and generic formats, with auto-detected output language. - Structured Pipeline: Chains literature survey, novelty check, aims/claims-evidence matrix design, narrative arc construction, timeline planning, and GPT-5.5 panel review with up to two review-revise rounds. - State Persistence & Checkpoints: Saves progress to GRANT_STATE.json for resume after interruption, and pauses at explicit checkpoints for PI confirmation before each phase. - Use Case: After running idea discovery on a research direction, invoke the skill with "my topic — NSFC Youth" to produce a complete Chinese-language 青年基金 application draft with gap statement, innovation points, feasibility analysis, and yearly milestones. ## Quick Start Ask the assistant to write a grant proposal for your research topic, specifying the funding agency such as KAKENHI, NSF CAREER, or NSFC Youth, and it will draft the full application into the grant-proposal directory.
