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