Individual skill
tao-finetune-anomalygennext
Validate a user AnomalyGenNext dataset and recipe, freeze its validation set, and prepare a canonical texture fine-tuning recipe. Use when AnomalyGenNext task weights do not yet exist. Do not use for ordinary defect generation.
skills/tao-finetune-anomalygennext/SKILL.md
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- tao Declared skill tag
- data Declared skill tag
- anomalygen-next Declared skill tag
- fine-tuning Declared skill tag
- synthetic-data Declared skill tag
- data Derived category
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BENCHMARK.mddoc · 7,116 bytesSKILL.mdcore · 5,253 bytesSKILL.mdcore · 5,253 bytesassets/default_recipe.yamlasset · 593 bytesconfig/skillspector-baseline.yamlasset · 1,680 bytesevals/evals.jsonasset · 1,059 bytesreferences/container-runtime.mddoc · 2,372 bytesreferences/input-contract.mddoc · 2,864 bytesreferences/nn-score-contract.mddoc · 837 bytesreferences/skill_info.yamlasset · 2,580 bytesscripts/finetune_anomalygennext.shruns · 3,447 bytesscripts/prepare_finetune_recipe.pyruns · 13,148 bytesscripts/tests/test_nn_improvement.pyruns · 3,126 bytesscripts/tests/test_prepare_finetune_recipe.pyruns · 9,120 bytesscripts/validate_nn_improvement.pyruns · 6,596 bytesskill-card.mddoc · 5,310 bytesskill.oms.sigasset · 7,325 bytes
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# Fine-tune AnomalyGenNext
This leaf prepares a user-owned dataset and optional recipe for task-specific
AnomalyGenNext LoRA training. The pinned image is declared in
`references/skill_info.yaml`; do not replace it with the older 1.0 release.
Read `references/input-contract.md` when validating a dataset or adapting a
recipe, and `references/container-runtime.md` before submission.
## Inputs
```text
DATASET/
defect_spec.jsonl
TEXTURE/