claudecodex

sdg-hub

Synthetic data generation — composable blocks and YAML-defined flows for building LLM training datasets

171 on GitHubby Red Hat AI Innovation TeamApache-2.0updated 1 month ago
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Plugin sdg-hub from marketplace sdg-hub in Red-Hat-AI-Innovation-Team/sdg_hub. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (4)

  • data-generation

    Use when the user wants to run synthetic data generation via scripts — detect environment, execute a flow, and present results. For detailed guidance on approaches, blocks, flow authoring, and troubleshooting, consult the synthetic-data-generation skill.

  • flow-browser

    Use when the user wants to list, search, or inspect available SDG flows and data generation pipelines. Applies to browsing flow catalogs, finding flows by use case, or understanding what a specific flow does.

  • setup-guide

    Use when the user wants to set up synthetic data generation for the first time, or when sdg_hub is not yet installed/configured in the current environment.

  • synthetic-data-generation

    Generate synthetic data using sdg_hub with composable blocks and YAML flows. Use when the user wants to create training datasets, generate QA pairs, run data generation pipelines, build custom flows, produce synthetic data from documents, use agent frameworks for data generation, or distill MCP tool

View source on GitHub ai-innovation.team

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