Does it support saving to my local files?

Yes. It primarily targets Obsidian vaults via MCP, but includes a fallback mechanism to save markdown files directly to your local 'docs/study/' directory.

How does the skill ensure information accuracy?

The skill performs cross-verification between multiple specialized agents and prioritizes official documentation and academic papers over blogs, assigning a 'High', 'Medium', or 'Low' reliability rating to findings.

How is this different from the standard research skill?

While the standard research skill focuses on data for decision-making, the Learning Research skill is optimized for pedagogy—structuring information to help you master a topic from basic concepts to advanced implementation.

What are the requirements for 'deep-study' mode?

Deep-study mode requires a topic and a purpose. It then spawns 6 parallel expert agents to cover entry-level, intermediate, and advanced tiers of the subject for a complete learning roadmap.

Learning Research Assistant

Name: Learning Research Assistant
Author: aimskr

byaimskr

0•

学習とドキュメンテーション

Conducts multi-agent research to generate structured, hierarchical learning notes and study materials for deep topical understanding.

The Learning Research Assistant is a specialized capability that transforms Claude into a research coordinator using a parallel expert agent architecture. It breaks down complex subjects into conceptual, architectural, and practical dimensions, synthesizing information from diverse sources into structured, Obsidian-compatible notes. Whether you need a quick conceptual overview or a multi-level deep dive, this skill automates the collection, cross-verification, and organization of knowledge to accelerate your learning process and build a comprehensive personal knowledge base.

主な機能

010 GitHub stars

02Cross-Verification & Synthesis: Identifies informational conflicts and assigns reliability ratings based on source hierarchy.

03Blind Spot Detection: Includes a Codex synthesis layer to identify non-obvious insights and independent viewpoints often missed by standard searches.

04Parallel Expert Sub-agents: Deploys specialized agents for theory, history, architecture, tutorials, and ecosystem analysis.

05Obsidian Integration: Automatically organizes and saves formatted research notes directly into your Obsidian vault.

06Dual Learning Modes: Offers 'study' for quick logical flows and 'deep-study' for a comprehensive three-tier curriculum (Entry, Mid, Advanced).

ユースケース

01Mastering a new technology stack or architectural pattern such as Transformer models or Kubernetes networking.

02Generating high-quality, verified study guides for technical interviews or professional certifications.

03Building an automated documentation pipeline for internal technical research and onboarding materials.

主な機能

010 GitHub stars

02Cross-Verification & Synthesis: Identifies informational conflicts and assigns reliability ratings based on source hierarchy.

03Blind Spot Detection: Includes a Codex synthesis layer to identify non-obvious insights and independent viewpoints often missed by standard searches.

04Parallel Expert Sub-agents: Deploys specialized agents for theory, history, architecture, tutorials, and ecosystem analysis.

05Obsidian Integration: Automatically organizes and saves formatted research notes directly into your Obsidian vault.

06Dual Learning Modes: Offers 'study' for quick logical flows and 'deep-study' for a comprehensive three-tier curriculum (Entry, Mid, Advanced).

ユースケース

01Mastering a new technology stack or architectural pattern such as Transformer models or Kubernetes networking.

02Generating high-quality, verified study guides for technical interviews or professional certifications.

03Building an automated documentation pipeline for internal technical research and onboarding materials.