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Red-Hat-AI-Innovation-TeamRed-Hat-AI-Innovation-Team/sdg_hub/.claude/skills/data-generation/SKILL.md

data-generation

Skill161 starsChanged 6 months agoApache-2.0View on GitHub

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.

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

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

    line 27
  2. Very specific:

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

    line 42

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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.

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