Install one, then just prompt in plain English. The FLOW.md fires the right skill at the right moment. No re-orchestration, no babysitting.
Featured
tunelab moves repetitive LLM calls — tool calling, classification, extraction — onto small local models.
@rchazBuild a training dataset for fine-tuning, distillation, or continued pretraining. Use when the user wants to turn logs/CSV/JSONL into fine-tuning data, label…
@rchazThe tunelab front door — decides whether a task needs fine-tuning at all, by running EXPERIMENTS on the user's data, not just interviewing. Use whenever the…
@rchazEvaluate a fine-tuned, distilled, or continued-pretrained model with held-out test discipline — the honest scoreboard at the end of the tunelab pipeline.…
@rchazThe tunelab capstone — drives a self-improving AI system. Use when the user wants a deployed model/cascade/workflow to keep getting better from feedback, run…
@rchazDrive a local MLX-LM training run on Apple Silicon (LoRA/QLoRA, full fine-tuning, CPT) after tune-decide has validated a Level 2-3 plan. Use to pick a base…
@rchaz© 2026 Flowy · Free and open source
Built for Claude Code · Not affiliated with Anthropic
