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Red-Hat-AI-Innovation-TeamRed-Hat-AI-Innovation-TeamOfficial·1 Agent Skills Included

sdg_hub

Composable pipelines for synthetic training data generation

Builds synthetic training datasets by chaining LLM, parsing, transform, and filtering blocks into YAML-defined flows. Eliminates manual prompt scripting, brittle parsing code, and one-off data pipelines that are hard to reuse. Includes pre-built flows for QA generation, text analysis, and MCP tool-use distillation, with support for 100+ model providers and resumable checkpointed runs.
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npx skills add Red-Hat-AI-Innovation-Team/sdg_hub --all -g -y
Available:

Points your AI agent to the right knowledge-base documents for tasks like adding blocks, authoring flows, writing tests, and reviewing code, along with the correct commands to run them.

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Red-Hat-AI-Innovation-TeamRed-Hat-AI-Innovation-Team

Synthetic Data Generation

Create synthetic datasets with modular Python and YAML pipelines.

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Frequently Asked Questions

FAQPage Schema
How to install SDG Hub?▼

Run `npx skills add Red-Hat-AI-Innovation-Team/sdg_hub --all -g -y` in your terminal to install all skills in this suite globally.

How to generate synthetic training data?▼

Pick a pre-built flow or write your own YAML pipeline, set your model with flow.set_model_config(), then call flow.generate(dataset). Always run flow.dry_run() on a small sample first to validate the pipeline.

Which LLM providers does SDG Hub support?▼

It supports 100+ providers through LiteLLM, including OpenAI, Anthropic, Azure, Google Gemini, AWS Bedrock, Groq, and local models via vLLM or Ollama.

Can I build custom data generation pipelines?▼

Yes. You can chain 20+ built-in blocks in a custom YAML flow, write ad-hoc Python scripts, or connect external agent frameworks like Langflow and LangGraph.

Does SDG Hub work with Claude Code and Codex?▼

Yes. It ships as a plugin with setup-guide, data-generation, and flow-browser skills that run directly inside Claude Code and Codex CLI.

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