Loom Learning Graph Skill

Manage a personal knowledge graph for learning with spaced repetition.

16|2|Updated Jan 13, 2026

Search Tags:#context capture #knowledge graph #learning #spaced repetition #node management #qmd

Ready to run

npx skills add https://github.com/pepicrft/openclaw-plugin-loom --skill loom-learning-graph-skill

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Loom Learning Graph Skill
Source: https://github.com/pepicrft/openclaw-plugin-loom/tree/main
Command: npx skills add https://github.com/pepicrft/openclaw-plugin-loom --skill loom-learning-graph-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps users organize and expand their learning by creating and managing a knowledge graph, ensuring that learning is reinforced through spaced repetition and contextualized with real-world examples.

Core Features & Use Cases

Knowledge Graph Management: Create, update, and organize learning nodes and paths.
Spaced Repetition: Schedule reviews for nodes to reinforce learning over time.
Contextual Learning: Capture real-world situations to seed new learning nodes or enrich existing ones.
Use Case: An agent can use this skill to help a user learn a new programming language by creating nodes for concepts, linking them with prerequisites, and scheduling reviews for mastered topics.

Quick Start

Use the Loom Learning Graph Skill to add a new node about 'Nix flakes' with the title 'Understanding Nix Flakes'.

Frequently Asked Questions about Loom Learning Graph Skill

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

FAQPage Schema

How do I build a personal knowledge graph for learning new topics?▼

Build a personal knowledge graph by creating learning nodes for individual concepts, linking them with prerequisite paths, and scheduling spaced repetition reviews to reinforce retention over time.

What is spaced repetition and how does it work with knowledge graph nodes?▼

Spaced repetition schedules timed reviews of individual knowledge graph nodes, reinforcing learning by prompting you to revisit concepts at calculated intervals to prevent forgetting.

How do I capture real-world context to enrich my learning nodes?▼

Capture real-world context by recording situational examples and feeding them into the knowledge graph to seed new learning nodes or enrich existing ones with practical context.

Can an agent use this skill to help me learn a programming language?▼

An agent can use this skill to help you learn a programming language by creating concept nodes, linking prerequisites, and scheduling spaced repetition reviews for mastered topics.

How does QMD indexing work for searching learning nodes?▼

QMD indexing organizes knowledge graph nodes to enable efficient search and retrieval, allowing you to quickly locate specific learning concepts and paths within your graph.

What's the best way to organize learning paths with prerequisite concepts?▼

Organize learning paths by creating nodes for individual concepts and explicitly linking them with prerequisite relationships, enabling structured progression through complex topics.