synthetic-data-generation
synthetic-data-generation is a Fine-tuning & training data skill for AI agents, published by ProfSynapse in the Synaptic-Tuner repository on GitHub. Skillspace rates synthetic-data-generation B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Complete reference for the SynthChat synthetic dataset generation system. Covers CLI commands (generate, improve, validate), scenario YAML authoring, rubric YAML authoring, settings configuration, evaluation, and full workflow. Use when generating datasets, writing rubrics/scenarios, configuring models/workers, improving dataset quality, or running evaluations. This skill is about USING the system via CLI and YAML — never modifying source code.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 26
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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