finetuning-technique
awslabs/agent-pluginsSelects a fine-tuning technique (SFT, DPO, RLVR, or RLAIF) for the user's use case and validates it against the selected model's available recipes. Use when…
Scores out of 100 · grade A
2026-08-13Works
40% of the score100/100
- Loads cleanly: valid frontmatter, required fields present, no dangling references.
Maintained
25% of the score100/100
- no commits in the last 12 weeks
Adopted
20% of the score40/100
- 860 stars on the source repo.
Documented
15% of the score75/100
- 292-word body.
- Ships 2 bundled files.
Install
npx skills add awslabs/agent-plugins/finetuning-techniqueWhat it says it does
Selects a fine-tuning technique (SFT, DPO, RLVR, or RLAIF) for the user's use case and validates it against the selected model's available recipes. Use when the user has decided to finetune and needs to choose a technique, or when the technique needs to be validated against a model. Requires a base model to already be selected (via model-selection skill).
Also in awslabs/agent-plugins
| Artifact | Score | What the check found | Type | Reach | Last commit |
|---|---|---|---|---|---|
| aws-lambda-microvmsawslabs/agent-plugins | clean | Skill | 860 stars | today | |
| aws-architecture-diagramawslabs/agent-plugins | clean | Skill | 860 stars | today | |
| hyperpod-performance-debuggerawslabs/agent-plugins | clean | Skill | 860 stars | today | |
| hyperpod-slurm-debuggerawslabs/agent-plugins | clean | Skill | 860 stars | today | |
| model-selectionawslabs/agent-plugins | clean | Skill | 860 stars | today | |
| dataset-evaluationawslabs/agent-plugins | clean | Skill | 860 stars | today |
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