# Concept Graph

> Use when an approved tutorial spec exists and the run needs a deterministic prerequisite graph before module planning.

- Skill: `willoscar/concept-graph` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add willoscar/concept-graph`
- Raw SKILL.md: https://api.skillmd.com/api/skills/willoscar/concept-graph/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: WILLOSCAR (https://skillmd.com/u/willoscar)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/willoscar/concept-graph

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# Concept Graph

## Triggers & routing

- **Trigger**: concept graph, prerequisite graph, dependency graph, 概念图, 先修关系.
- **Use when**: `source-tutorial` 的 C2，已有 `output/TUTORIAL_SPEC.md`，需要把教程概念转成可排序的 DAG。
- **Skip if**: 还没有 tutorial spec。
- **Network**: none.
- **Guardrail**: 只做结构，不写 reader-facing prose；图必须保持无环。


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.yml` exists
- all nodes have stable ids
- the graph is a DAG

## Non-goals

- module clustering
- exercise generation
- tutorial prose