AI导哈

设计与多媒体

k2f-grant-proposal

suzheng/k2f

Turn research ideas, preliminary data, and agency solicitations into reviewer-ready grant proposals with a fundable hypothesis, independent specific aims, and agency-aligned significance and innovation. Use when the user asks for a grant proposal, specific aims page, NIH R01/R21/K, NSF proposal, or foundation grant narrative. Create grant proposals with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.

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安装命令

npx skills add https://github.com/suzheng/k2f --skill k2f-grant-proposal

SKILL.md

K2F Grant Proposal — AI-Native Aesthetic Design

Purpose

Teach agents to blueprint fundable grant narratives before layout: a falsifiable hypothesis, explicit gaps, independent aims, reviewer-scannable hierarchy, and honest feasibility—without inventing data or drowning reviewers in prose.

Built on K2F

This skill produces grant packages as .K2F documents. Follow the k2f skill for authoring: unpack or init a workspace, edit the semantic tree, run pack/verify, then export. K2F keeps agents on meaning (section roles, aims, evidence)—not pixel coordinates—while the engine compiles layout, typography, and theme into consistent output across PDF, DOCX, and other formats.

Before you build, install the core skill: npx skills add suzheng/k2f --skill k2f.

When to Use

  • Drafting or restructuring NIH, NSF, ERC, or foundation proposals from notes or prior work.
  • Rebuilding a weak Specific Aims page before the full research strategy.
  • Aligning content depth and visual hierarchy to mechanism limits and review rubrics.

Workflow

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