Concept Graph Agent Skill
| Use when an approved tutorial spec exists and the run needs a deterministic prerequisite graph before module planning.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill concept-graphWhat comes with it
1 359 bytes besides the instructionThe instruction itself
7 sections, as written by the authorConcept Graph
Materializes the tutorial spec's structured concept inventory into outline/concept_graph.yml.
Input
output/TUTORIAL_SPEC.md
Output
outline/concept_graph.yml
Contract
The graph must contain:
nodes:{id, title, summary, source_ids, objective_refs}edges:{from, to}meaning prerequisite order
Script boundary
scripts/run.py should:
- load structured spec data
- emit stable node ids and prerequisite edges
- fail if the result would be cyclic or empty
Do not duplicate spec-parsing heuristics in multiple places; keep them in shared tutorial tooling.
Acceptance
outline/concept_graph.ymlexists- all nodes have stable ids
- the graph is a DAG
Non-goals
- module clustering
- exercise generation
- tutorial prose
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How to use it
Take willoscar/concept-graph from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.