Data Science & Analytics
K2F Academic Paper
Turn research questions, data, and literature into submission-ready academic manuscripts with venue-aligned structure, claim–evidence flow, and reader-scannable hierarchy. Use when the user asks for an academic paper, journal article, conference paper, thesis chapter, IMRaD manuscript, abstract, or manuscript outline from notes or a draft. Create academic papers 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.
- Publisher / source
- suzheng/k2f (found on skills.sh)
- Upstream record
- suzheng/k2f
- Version
- Version 3
- Published
- Publication review
- Approved for publication
- Content fingerprint
0e3b7664ea0e8842d819d719cd723db53c0a34011dac11fca869fd536096fcae