research

Query multiple indexed academic sources in parallel for research answers.

1|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/yodem/academic-writer --skill research-yodem
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/yodem/academic-writer/tree/main/plugins/academic-writer/skills/research
Command: npx skills add https://github.com/yodem/academic-writer --skill research-yodem

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables users to quickly find information and answer questions by searching through their indexed academic sources without needing to write an article.

Core Features & Use Cases

  • Parallel Subagent Queries: Simultaneously searches multiple data sources (RAG, Candlekeep, MongoDB, NotebookLM) for faster results.
  • Flexible Question Answering: Handles direct questions, topic explorations, comparisons, and quote searches.
  • Use Case: A researcher needs to find out what Foucault says about power in Discipline and Punish. They can ask the skill, which will then query all enabled sources in parallel to retrieve the relevant passages and present a concise answer with citations.

Quick Start

Ask the research skill what Foucault says about power in Discipline and Punish.

Frequently Asked Questions about research

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

FAQPage Schema
How do I retrieve specific quotes from academic sources without writing a full article?

To retrieve specific quotes from academic sources, you can query your indexed data using parallel agents. The system searches multiple databases simultaneously to extract relevant passages and present concise answers with citations.

Can I compare topics across RAG, Candlekeep, and MongoDB simultaneously?

Yes, you can compare topics across RAG, Candlekeep, and MongoDB simultaneously. The skill executes parallel subagent queries across these indexed sources to synthesize comparative information efficiently.

What's the best way to explore indexed academic sources for topic discovery?

The best way to explore indexed academic sources for topic discovery is by asking direct questions to the research skill. It queries enabled data sources in parallel to retrieve relevant passages and present synthesized answers.

Does information retrieval from MongoDB require manual search queries?

Information retrieval from MongoDB does not require manual search queries. The skill automates the process using parallel agents to query MongoDB and other connected sources, instantly returning synthesized answers.

How does parallel agent execution work for academic knowledge discovery?

Parallel agent execution for academic knowledge discovery works by simultaneously querying multiple indexed sources like RAG, Candlekeep, and NotebookLM. This approach retrieves and synthesizes relevant passages faster than sequential searching.