Individual skill
together-core-workflow-a
Prepare, submit, monitor, and disposition a Together AI fine-tuning job using SDK v2, validated training data, explicit cost approval, and separate deployment verification. Use when adapting a model to custom examples or preferences. Trigger with "Together fine-tune", "train a Together model", or "Together DPO job".
plugins/saas-packs/together-pack/skills/together-core-workflow-a/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Last checked
- Nov 12, 2026
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Repository context
- Repository stars (not skill ratings)
- 2,917
- Repository last updated
- Nov 12, 2026
- License
- MIT
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- together-ai Declared skill tag
- fine-tuning Declared skill tag
- devops Derived category
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SKILL.mdcore · 4,200 bytesreferences/official-docs.mddoc · 3,032 bytes
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# Together AI Fine-Tuning Workflow
## Overview
This skill governs the expensive path from dataset qualification through an asynchronous fine-tune job and a separately approved serving handoff.
## Prerequisites
- A supported base model and tuning method confirmed in current Together documentation
- Sanitized, licensed training and optional validation JSONL
- Dataset-quality and holdout criteria
- A cost ceiling, job owner, cancellation rule, and deployment decision owner
## Tool Discipline
