Skills

Taxonomy Builder

Build a 2+ level taxonomy (`outline/taxonomy.yml`) from a core paper set and scope...

Install

npx skills add WILLOSCAR/research-units-pipeline-skills --skill taxonomy-builder -g -a claude-code -y
Category
Engineering
Updated
1mo ago
License
See repository
Context cost
Lightabout 963 tokens
Runs scripts
Yes, review before use

What it does

Build a 2+ level taxonomy (`outline/taxonomy.yml`) from a core paper set and scope constraints, with short descriptions per node.

Taxonomy Builder (router, compatibility mode)

Triggers & routing

  • Trigger: taxonomy, taxonomy builder, 分类, 主题树, taxonomy.yml.
  • Use when: survey/snapshot 的结构阶段(NO PROSE),已有 papers/core_set.csv,需要生成可映射且读者友好的主题结构。
  • Skip if: 已经有批准过且可映射的 taxonomy(不要无意义重构)。
  • Network: none.
  • Guardrail: 避免泛化占位桶;保持 2+ 层且每节点有具体描述。

Build outline/taxonomy.yml from papers/core_set.csv.

P0 compatibility note:

  • The output contract stays the same (outline/taxonomy.yml, YAML list, >=2 levels, concrete descriptions).
  • Curated domain taxonomies now live in assets/domain_packs/*.yaml instead of Python prose.
  • scripts/run.py stays a deterministic scaffold/helper: detect domain pack -> load pack when available -> otherwise fall back to the generic builder.

Load Order

  1. references/overview.md
  2. references/taxonomy_principles.md
  3. If a domain pack applies, read its references/domain_pack_<domain>.md and assets/domain_packs/<domain>.yaml
  4. Otherwise read references/archetypes_generic.md
  5. Calibrate naming/description quality with references/examples_good.md and references/examples_bad.md

Current compatibility packs:

  • llm_agents
  • gen_image
  • embodied_ai
  • rag_evaluation

Explicit refinement marker

Create outline/taxonomy.refined.ok only after reviewing a manually refined taxonomy. The marker is honored only while it is newer than the taxonomy, its upstream evidence, and the generator; stale markers are removed and the prior taxonomy is backed up before regeneration.

Inputs

  • papers/core_set.csv (required)
  • Optional: papers/papers_dedup.jsonl
  • Optional: DECISIONS.md, GOAL.md, queries.md

Outputs

  • outline/taxonomy.yml

Asset contract

  • assets/taxonomy_schema.json: machine-readable shape for domain packs / output expectations
  • assets/domain_packs/*.yaml: compatibility domain packs for supported domains

Script role

Read the whole SKILL.md on GitHub

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