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.