Agent Skill
Quantized Export
Export a promoted fine-tuned model in the right deployment format — merged safetensors, LoRA-only, GGUF with imatrix, or FP8. Use after a checkpoint passes promotion, wh…
Prompts about LLM Finetuning
Search and filter the whole catalogue. Results update as you type.
15 prompts
Agent Skill
Trace to Training Data
Convert evaluation traces and production logs into SFT examples and preference pairs. Use when graded traces or failure examples exist and need to become training data…
Agent Skill
Vision Sft
Fine-tune vision-language models (VLMs) with supervised learning on image+text data. Use when adapting a VLM to a visual domain or task, configuring frozen-vision-tower…
Text
Re-gate checkpoint in: “$ARGUMENTS”
Re-gate an existing fine-tuned checkpoint against the current eval harness and export it on PROMOTE
Agent Skill
Checkpoint Promotion
Gate fine-tuned checkpoints with drift budgets, paired comparison, and forgetting checks before promotion. Use after a training run produces a checkpoint, when deciding…
Agent Skill
Dataset Curation
Prepare, format, and validate datasets for supervised fine-tuning and preference training. Use when converting raw data into training format, applying chat templates, co…
Agent Skill
Eval Harness First
Build the evaluation harness that gates every fine-tuning run — golden sets, per-failure-mode graders, judge calibration, and base-model baselines. Use when starting a f…
Agent Skill
Finetuning Method Selection
Decide whether to fine-tune at all, and route to the right method (SFT, DPO/ORPO/KTO, GRPO/RLVR, continued pretraining) and base model. Use when starting any fine-tuning…
Agent Skill
Grpo Rlvr Training
Train reasoning and verifiable-task behavior with GRPO and reinforcement learning from verifiable rewards (RLVR). Use when task success is algorithmically checkable (mat…
Agent Skill
Lora Qlora Recipes
Configure LoRA and QLoRA supervised fine-tuning with current best-practice hyperparameters. Use when writing or reviewing a LoRA/QLoRA training configuration, choosing r…
Custom Agent
LLM Finetuning Architect
Fine-tuning strategist who owns the eval gate and method/model selection. Refuses to plan training without a baselined eval harness. Use PROACTIVELY when a user wants to…
Agent Skill
Preference Optimization
Align a fine-tuned model with preference data using DPO, ORPO, KTO, or SimPO. Use when preference pairs or thumbs-up/down feedback exist, when choosing between preferenc…
Custom Agent
LLM Finetuning Eval Engineer
Evaluation gatekeeper for fine-tuning — builds golden sets and graders, calibrates judges, baselines base models, and issues checkpoint promotion verdicts. Use when cons…
Custom Agent
LLM Finetuning Training Engineer
Fine-tuning implementation workhorse — prepares datasets, generates Unsloth-first training scripts, launches and monitors runs, and exports artifacts. Use after a traini…
Text
Fine-tune for: “$ARGUMENTS”
Run the eval-gated fine-tuning lifecycle end to end — eval harness, method selection, data, environment, training, checkpoint gate, export