learning-research

Coordinate parallel sub-agents to collect learning resources and generate structured Obsidian notes.

Updated Jan 7, 2026
One-click install
npx skills add https://github.com/aimskr/aims-claude-toolkit --skill learning-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: learning-research
Source: https://github.com/aimskr/aims-claude-toolkit/tree/main/skills/learning-research
Command: npx skills add https://github.com/aimskr/aims-claude-toolkit --skill learning-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill coordinates parallel sub-agents to collect and organize learning materials across topics, then generates structured, up-to-date study notes and autosaves them to an Obsidian vault.

Core Features & Use Cases

  • Parallel expert sub-agents gather topic materials (concepts, history, architecture, tutorials, advanced topics, ecosystem resources).
  • Notes are structured by proficiency level (beginner, intermediate, advanced) and stored in Obsidian for easy navigation and revision.
  • Input-driven research planning supports Topic, Purpose, and Mode to steer scope, depth, and output format.

Quick Start

Provide a topic, purpose, and mode to start a parallel learning-research session and auto-generate Obsidian notes.

Frequently Asked Questions about learning-research

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

FAQPage Schema
How do I organize learning research notes for topics like Kubernetes or Transformer models?

Parallel sub-agents collect learning resources across your chosen topic and auto-save structured notes directly to an Obsidian vault, categorizing materials by proficiency level for easy navigation and revision.

What is the best way to automatically generate structured study notes from multiple sources?

Using parallel expert sub-agents to gather concepts, architecture, and tutorials across topics synthesizes scattered materials into structured notes categorized by beginner, intermediate, and advanced proficiency levels.

How do I plan and gather learning materials using parallel agents?

Provide a Topic, Purpose, and Mode as input to steer the scope, depth, and output format, directing parallel sub-agents to collect concepts, history, architecture, tutorials, and ecosystem resources for study planning.

Does this research tool support autosaving notes to an Obsidian vault?

Yes, the tool supports autosaving notes to an Obsidian vault by generating Obsidian-ready formatted outputs, allowing for immediate navigation and revision of synthesized study materials.

Can I use parallel agents to collect ecosystem resources and advanced tutorials for a specific topic?

Yes, parallel expert sub-agents collect ecosystem resources and advanced tutorials alongside concepts, history, and architecture, covering the full scope of a topic to support advanced proficiency study planning.

What input is required to start a parallel learning research session?

You need to provide three inputs: the Topic you want to study, the Purpose of your research, and the Mode to steer the scope, depth, and output format of the synthesized learning notes.