AI/ML · Global library
Fine-Tuning Workflow Creator
Create fine-tuning workflows with dataset preparation, evaluation baselines, and rollback-ready deployment checkpoints.
CodexClaude CodeKimi Codeorchestrator-mcp
Best use case
Use Fine-Tuning Workflow Creator when you need to create fine-tuning workflows with dataset preparation, evaluation baselines, and rollback-ready deployment checkpoints, especially when the work is driven by fine tuning and training loop.
Trigger signals
fine tuningtraining loopevaluation set
Validation hooks
data-quality-checkertraining-convergence-validatorevaluation-metrics-verifier
Install surface
Copy the exact command path you need.
Inspect
pip install "orchestrator-mcp[dashboard]"
orchestrator-mcp skills show fine-tuning-workflow-creator
Use
orchestrator-mcp skills export fine-tuning-workflow-creator --to ./skillforge-packs
# copy the exported pack into your preferred agent environment
Export
cp -R skills/fine-tuning-workflow-creator ./your-agent-skills/fine-tuning-workflow-creator
# or open skills/fine-tuning-workflow-creator/SKILL.md in a markdown-first client
File patterns
**/*.py**/*.ipynb**/*.yaml**/training/**
Model preferences
deepseek-ai/deepseek-v3.2moonshotai/kimi-k2.5deepseek-r1:32b
Related skills
Adjacent packs to compose next.
Design robust communication protocols for agent systems with message schemas, serialization, and delivery guarantees
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Manage complete agent lifecycles from initialization through graceful shutdown with health monitoring, scaling, and resource optimization
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Design short-term, long-term, and episodic memory layers for agents without turning retrieval into an unbounded context leak.
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