oma-scholar

Search scholarly literature and generate validated YAML sidecars.

1|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/first-fluke/mapple --skill oma-scholar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oma-scholar
Source: https://github.com/first-fluke/mapple/tree/main/.agents/skills/oma-scholar
Command: npx skills add https://github.com/first-fluke/mapple --skill oma-scholar

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Researchers often struggle to efficiently find, validate, and synthesize scholarly literature. This Skill simplifies scholarly research by automating literature searches, sidecar generation, validation, and comparative analysis, reducing manual effort and enhancing accuracy.

Core Features & Use Cases

  • Academic Literature Search: Find relevant research papers using semantic queries across platforms.
  • Sidecar Generation & Validation: Create and check structured YAML representations of research papers based on the Knows schema.
  • Research Synthesis & Peer Review: Produce summaries, conduct reviews, or compare two papers structurally to identify key differences or potential contradictions.
  • Use Case: A researcher wanting to quickly gather claims, evidence, and citation structures from multiple papers for a systematic review can automate this process with this Skill.

Quick Start

Ask the AI to fetch a paper related to machine learning and generate its structured sidecar for review purposes.

Frequently Asked Questions about oma-scholar

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

FAQPage Schema
How do I automate literature search and paper analysis for a systematic review?

Automate literature search by using semantic queries to find relevant papers, then generate structured sidecar representations to extract claims and citation structures for systematic reviews. This reduces manual effort and accelerates research synthesis.

What is sidecar generation and validation in academic research?

Sidecar generation creates structured YAML representations of research papers based on the Knows schema. Validation checks these structured sidecars to ensure accurate capture of claims, evidence, and citation structures for peer review.

Can I structurally compare two research papers to find contradictions?

Yes, you can structurally compare two research papers to identify key differences or potential contradictions. The skill conducts structural reviews and produces summaries to facilitate comparative academic analysis.

Does this research tool require external dependencies to run semantic searches?

No external dependencies are required. The skill integrates semantic search across platforms and performs structured paper analysis natively, streamlining scholarly research workflows without needing additional environment setup.

What is the best way to extract claims and evidence from multiple research papers?

The best way is to use semantic search to gather relevant literature and generate structured sidecar representations. This automates the extraction of claims, evidence, and citation structures, significantly enhancing research accuracy.