taxonomy-builder

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

Taxonomy Builder (router, compatibility mode)

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

Use scripts/run.py only for deterministic help:

• never overwrite non-placeholder user taxonomy
• preserve current CLI flags / output path
• load a supported domain taxonomy only when GOAL.md / queries.md explicitly match its detection contract
• keep the generic fallback builder for non-packed domains

When to refine manually

Refine the generated taxonomy before marking the unit DONE if:

• top-level buckets feel like keyword clusters instead of chapter-level questions
• leaf names are generic (Overview, Benchmarks, Open Problems, Misc)
• descriptions lack scope cues or representative paper anchors
• domain detection chose the wrong pack

Quick start

• uv run python .codex/skills/taxonomy-builder/scripts/run.py --help
• uv run python .codex/skills/taxonomy-builder/scripts/run.py --workspace <workspace>

Execution notes

When running in compatibility mode, scripts/run.py currently reads:

• papers/core_set.csv as the required corpus input
  • papers/papers_dedup.jsonl when present for generic corpus signals
  • GOAL.md and queries.md as the authoritative domain-pack selection intent; corpus term co-occurrence cannot override them

Script

Quick Start

• uv run python .codex/skills/taxonomy-builder/scripts/run.py --workspace <workspace>

All Options

• --workspace <dir>
• --top-k <int>
• --min-freq <int>
• --unit-id <id>
• --inputs <a;b;...>
• --outputs <a;b;...>
• --checkpoint <C*>

Examples

• uv run python .codex/skills/taxonomy-builder/scripts/run.py --workspace <workspace>

Troubleshooting

• If the wrong domain pack is chosen, inspect GOAL.md, queries.md, and the pack detect rules before changing Python.
• If outline/taxonomy.yml already contains a real non-placeholder taxonomy, the script intentionally returns without overwriting it.
• If no pack matches, the script falls back to the generic builder.