tweaktune-synthesizer

What problem does it solve?

This Skill guides users to design and implement tweaktune pipelines that synthesize training data for LLMs. It provides an interactive, question-driven workflow to tailor pipelines for conversations, tool use, and structured JSON datasets, helping you automate data generation and reduce manual setup.

Core Features & Use Cases

• Interactive pipeline design: Step through a Q&A to capture data-generation goals and constraints.
• Production-ready templates: Generate complete pipeline code with imports, configuration, and steps.
• Multi-type data synthesis: Create text, JSON, conversations, and function-calling datasets using tweaktune.
• Use Case: Quickly produce synthetic QA pairs or tool-use conversations for fine-tuning language models.

Quick Start

1. Start the skill in a guided Q&A flow to define your synthesis goals.
2. Receive a production-ready pipeline script (e.g., pipeline.py) tailored to your needs.
3. Run the generated code after exporting your OPENAI_API_KEY.