concept-graph

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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。

AI & Automation 498 stars 39 forks Updated today

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Quality Score: 79/100

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90
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100
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50
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Description 5%
100

Skill Content

# 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

Details

Author
WILLOSCAR
Repository
WILLOSCAR/research-units-pipeline-skills
Created
7 months ago
Last Updated
today
Language
Python
License
None

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