skills.rest
NikhilVijayakumar
NikhilVijayakumarCOMMUNITY
Explore all skills by this author →
GitHub

novelty-analyst

Classify code modules as NOVEL, INCREMENTAL, STANDARD, or NONE with evidence mapping.

Updated Nov 25, 2025
Search Tags:#evidence#code-analysis#experimentation#publications#novelty#research-evaluation#academic-contribution
One-click install
npx skills add https://github.com/NikhilVijayakumar/Yantra --skill novelty-analyst
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: novelty-analyst
Source: https://github.com/NikhilVijayakumar/Yantra/tree/main/.agent/skills/novelty-analyst
Command: npx skills add https://github.com/NikhilVijayakumar/Yantra --skill novelty-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identify and quantify novel scientific contributions in code modules to strengthen academic value.

Core Features & Use Cases

  • Automated novelty classification per module (NOVEL, INCREMENTAL, STANDARD, NONE) with evidence mapping.
  • Output generation of a novelty document per module at docs/paper/modules/{module}/novelty.md including Contribution sections and Novelty Gaps.
  • Comparative guidance and actionable recommendations to strengthen research value and framing.

Quick Start

Run novelty analysis on a module to generate its novelty.md documentation.

Frequently Asked Questions about novelty-analyst

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I assess the academic novelty of code modules in a research project?▼

To assess academic novelty of code modules, this Skill classifies contributions as NOVEL, INCREMENTAL, STANDARD, or NONE using evidence-backed claims to distinguish novel ideas from incremental changes across domains.

What is the best way to quantify novel scientific contributions in software libraries?▼

Quantifying novel scientific contributions requires analyzing code modules against related work to generate explicit differentiation and evidence mapping, strengthening the academic value of software research projects.

How do I generate novelty documentation for my research codebase?▼

Generating novelty documentation involves running an automated analysis that outputs a per-module novelty.md file at docs/paper/modules/{module}/novelty.md, including detailed Contribution sections and identified Novelty Gaps.

Does novelty analysis require specific formatting to evaluate academic contribution?▼

Yes, novelty analysis requires a frontmatter with name and description, a per-module novelty.md document, evidence-backed claims, and explicit differentiation from related work to properly evaluate academic contribution.

Can I use this to strengthen the research value and framing of my software project?▼

Yes, you can strengthen research value and framing by using the comparative guidance and actionable recommendations generated during the novelty evaluation to better position your software's scientific contributions.

Related Skills

Explore More Education & Research Skills→
satsuki-64satsuki-64
2

novelty-check

Evaluate research method novelty against 2024-2026 literature and arXiv sources.

Community
Advanced
Dimen01Dimen01
7

ai-paper-en

Revise English academic papers in AI systems, chips, compilers, and computer architecture.

Community
Advanced
abhishek2chikunabhishek2chikun

evidence-discipline

Classify factual claims and enforce citation discipline in consulting research outputs.

Community
Intermediate
aviskaaraviskaar
6

research-paper-review

Critique AI/ML research papers across methodology, experiments, and limitations.

Official
Basic