finetuning
finetuning is an agent skill published by microsoft, listed under training models. It lives in the microsoft/skills repository, which has 3,148 GitHub stars and is licensed under MIT; we last read it on 2026-09-16.
Fine-tune models on Microsoft Foundry using supervised, preference, or reinforcement learning methods. Requires credentials for access and covers dataset preparation, training job submission, deployment, and evaluation.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads microsoft/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add microsoft/skills
What it connects to
Unverified means a mention in the skill’s own description, not a citation. A wrong claim here costs nothing to correct and nothing to trust yet.
Maintenance
Fine-tune models on Microsoft Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, training job submission, deployment, and evaluation. USE FOR: fine-tune, SFT, DPO, RFT, training data, grader, distillation, fine-tuned model, training job, large file upload, calibrate grader, deploy fine-tuned model, evaluate fine-tuned model. DO NOT USE FOR: general model deployment without fine-tuning (use deploy-model), agent creation (use agents), prompt optimization without training (use prompt-optimizer).
finetuning compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| finetuning (this page) | microsoft | Fine-tune models on Microsoft Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with gr… | 3,148 | 2026-10-25 |
| microsoft-foundry(same repository) | microsoft | Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end… | 3,148 | 2026-10-25 |
| agent-platform-eval-flywheel | Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel met… | 21,580 | 2026-10-25 | |
| agent-platform-tuning | Agent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform… | 21,580 | 2026-10-25 | |
| agent-platform-tuning-management | Manages GenAI tuning jobs in Agent Platform. Use this to list, get, or cancel ongoing model tuning jobs. Don'… | 21,580 | 2026-10-25 | |
| gemini-live-api | Generates a Gemini LiveAPI client service class in the user's chosen programming language. Use when the user… | 21,580 | 2026-10-25 | |
| hf-cloud-sagemaker-deployment-planner | huggingface | Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants… | 11,213 | 2026-10-23 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about finetuning
- What does finetuning do?
- Fine-tune models on Microsoft Foundry using supervised, preference, or reinforcement learning methods. Requires credentials for access and covers dataset preparation, training job submission, deployment, and evaluation.
- How do I install finetuning?
- Run npx skills add microsoft/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes finetuning?
- microsoft.
- Is finetuning maintained, and what licence does it use?
- Its repository has 3,148 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-25. The repository declares the MIT licence.
More agent skills for training models
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- agent-platform-eval-flywheelby google
- agent-platform-tuningby google