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
prerequisitesto gate advanced topics. - •Add
unlocksto highlight natural next steps. - •Always link nodes by
idin body text (wikilinks are fine).
Workflow (Agent)
- •Capture context when the user mentions a real situation.
- •Create or update nodes from the context.
- •Unlock nodes when prerequisites are mastered.
- •Recommend next using
learn nextand prompt review withlearn review.
Tooling
- •
learn_add_nodeto add nodes. - •
learn_captureto capture contexts. - •
learn_nextto pick the next node. - •
learn_reviewto schedule repetition. - •
learn_queryto 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/flakeswith prereqs. - •“I got confused ordering coffee in German” → capture context and add node
german/ordering-coffee.