Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install willoscar-research-units-pipeline-skills-codex-skills-concept-graphgit clone https://github.com/WILLOSCAR/research-units-pipeline-skills.gitcp research-units-pipeline-skills/SKILL.MD ~/.claude/skills/willoscar-research-units-pipeline-skills-codex-skills-concept-graph/SKILL.md---
name: concept-graph
description: |
Use when an approved tutorial spec exists and the run needs a deterministic prerequisite graph before module planning.
**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。
---
# Concept 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.yml` exists
- all nodes have stable ids
- the graph is a DAG
## Non-goals
- module clustering
- exercise generation
- tutorial prose