data-generation

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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.

Red-Hat-AI-Innovation-Team By Red-Hat-AI-Innovation-Team schedule Updated 6/4/2026

name: data-generation description: "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." allowed-tools: ["Bash(${CLAUDE_PLUGIN_ROOT}/scripts/sdg_generate.sh:)", "Bash(${CLAUDE_PLUGIN_ROOT}/scripts/sdg_detect.sh:)", "Bash(${CLAUDE_PLUGIN_ROOT}/scripts/sdg_flows.sh:*)"]

Run Data Generation

Execute synthetic data generation using sdg_hub flows. For approach selection, custom flow authoring, and block reference, consult the synthetic-data-generation skill.

Step 1: Check Environment

"${CLAUDE_PLUGIN_ROOT}/scripts/sdg_detect.sh"

If not ready

  • library=missing or config=missing: invoke the setup-guide skill.

If ready (library=installed, config=found)

Proceed to Step 2.

Step 2: Execute Generation

If the user doesn't specify a flow, invoke the flow-browser skill to find one.

Recommend starting with --sample 2 for a dry run.

"${CLAUDE_PLUGIN_ROOT}/scripts/sdg_generate.sh" $ARGUMENTS

Step 3: Present Results

  1. Generation status — Whether generation completed successfully
  2. Row counts — Input rows processed and output rows generated
  3. Output location — Path to the generated dataset
  4. Errors — If any rows failed, report the count

If generation failed, consult the synthetic-data-generation skill for troubleshooting.

Install via CLI
npx skills add https://github.com/Red-Hat-AI-Innovation-Team/sdg_hub --skill data-generation
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