research

Orchestrate seven research legs into a living medical evidence synthesis.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/lucasmiachon-blip/OLMO --skill research-lucasmiachon-blip
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/lucasmiachon-blip/OLMO/tree/main/.claude/skills/research
Command: npx skills add https://github.com/lucasmiachon-blip/OLMO --skill research-lucasmiachon-blip

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Medical educators and researchers struggle to coordinate multi-source literature reviews across heterogeneous sources and maintain a living synthesis that can be loaded into class context.

Core Features & Use Cases

  • Orchestrates seven research legs with cross-family integration to produce a unified evidence synthesis.
  • Generates a living HTML output per slide or lesson to support classroom discussion and updates.
  • Supports configurable topic arguments and optional queries to tailor the evidence surface.

Quick Start

To begin a new literature synthesis, provide a topic and optional slide-id and the system will dispatch all legs to return a structured, citeable synthesis.

Frequently Asked Questions about research

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

FAQPage Schema
How do I synthesize medical literature across multiple heterogeneous sources?

To synthesize medical literature across multiple sources, you can use an orchestration pipeline that dispatches modular research legs to integrate evidence from MCPs, Perplexity, and Codex pathways. This produces a cohesive, citable synthesis.

What is a living HTML evidence synthesis and when do I need it for classroom lectures?

A living HTML evidence synthesis is a dynamically generated, structured web document that consolidates medical literature into a unified narrative. It is needed when you want to load reproducible, citable evidence directly into classroom context for discussions and updates.

How do I generate a cross-family medical literature review from configurable topic arguments?

You generate a cross-family medical literature review by providing a specific topic and optional slide-id arguments to the system. This dispatches seven research legs to return a schema-driven, structured synthesis tailored to your query.

Can I use Perplexity and Codex pathways together for medical evidence integration?

Yes, you can integrate sources from Perplexity and Codex pathways together. The pipeline orchestrates these heterogeneous sources alongside MCPs to produce a unified, cross-family evidence narrative.

Does the medical research pipeline require specific dependencies to produce schema-driven outputs?

No specific dependencies are required to run the medical research pipeline. It operates independently to dispatch modular legs and deliver schema-driven, reproducible outputs from your configured topic arguments.