Use this skill to generate a deterministic tiny dataset bundle for tests, demos, and smoke fixtures.
Scanned 9/8/2026
Install to Claude Code
npx -y skills add ma-compbio-lab/SkillFoundry --skill synthetic-toy-dataset-generator-starter --agent claude-codeInstalls into .claude/skills of the current project.
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# Synthetic Toy Dataset Generator Starter
Use this skill to generate a deterministic tiny dataset bundle for tests, demos, and smoke fixtures.
## What This Skill Does
- creates a small sample sheet, feature sheet, and count matrix
- uses a fixed seed for deterministic values
- writes a manifest and a compact JSON summary
- keeps the output small enough to commit as a verified asset
## When To Use It
- when you need a starter for `synthetic-toy-dataset-generation-for-tests`
- when downstream skills need a small reusable fixture bundle
- when you want deterministic tabular test data without external downloads
## Run
```bash
python3 skills/data-acquisition-and-dataset-handling/synthetic-toy-dataset-generator-starter/scripts/generate_synthetic_toy_dataset.py \
--sample-count 6 \
--feature-count 4 \
--seed 17 \
--out-dir scratch/synthetic-toy-dataset/toy_bundle \
--summary-out scratch/synthetic-toy-dataset/toy_bundle_summary.json
```
## Notes
- The generated bundle is intentionally generic and lightweight; it is designed to feed other skills' tests.
- The summary includes simple deterministic checks so regressions are easy to spot in CI.
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