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Loom Learning Graph Skill

This skill guides agents on how to use the Loom plugin to build and expand a learning graph over time.

Install in one line

mfkvault install loom-learning-graph-skill

Requires the MFKVault CLI. Prefer MCP?

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🤖 Claude Code Cursor💻 Codex🦞 OpenClaw
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Free to install — no account needed

Copy the command below and paste into your agent.

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Description

# Loom Learning Graph Skill This skill guides agents on how to use the Loom plugin to build and expand a learning graph over time. ## Purpose - Help users navigate learning paths (e.g., Nix, German) through graph nodes. - Expand the graph organically as new knowledge appears. - Keep knowledge warm with spaced repetition reviews. ## Core Model - **Path**: a learning track (e.g., `nix`, `german`). - **Node**: atomic learning unit with prerequisites, unlocks, and review scheduling. - **Context**: real-world capture that should seed new nodes or enrich existing ones. ## What a Node Contains - A short explanation in your own words - A concrete example or mini exercise - Links to prerequisite or follow-up nodes by `id` - A “check yourself” prompt (question or task) ## When to Create Nodes - When a user says “I want to learn X”, **create a path** for X and seed 1-3 starter nodes. - When a user mentions a new concept, term, or confusion point, **create a node**. - When a context capture reveals missing scaffolding, **add prerequisites**. - When a node reaches mastery, **add or unlock a next node** that builds on it. - When a session reveals gaps, **insert a bridging node**. ## How to Expand the Graph - Prefer **small, focused nodes** over large, vague ones. - Use `prerequisites` to gate advanced topics. - Add `unlocks` to highlight natural next steps. - Always link nodes by `id` in body text (wikilinks are fine). ## Workflow (Agent) 1. **Capture context** when the user mentions a real situation. 2. **Create or update nodes** from the context. 3. **Unlock nodes** when prerequisites are mastered. 4. **Recommend next** using `learn next` and prompt review with `learn review`. ## Tooling - `learn_add_node` to add nodes. - `learn_capture` to capture contexts. - `learn_next` to pick the next node. - `learn_review` to schedule repetition. - `learn_query` to search the library. ## Defaults - Nodes are Markdown (`.md`). - Spaced repetition intervals default to `[1, 3, 7, 14, 30, 60, 120, 240]` days. ## Example Triggers - “I read about Nix flakes today” → add node `nix/flakes` with prereqs. - “I got confused ordering coffee in German” → capture context and add node `german/ordering-coffee`.

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