Dataset Generator

This skill is a tool-native dataset pipeline for Codex, Antigravity, and Claude Code.

• Use the IDE's own tools for browsing, reading, search, and reasoning.
• Use local Python scripts for deterministic normalization, state tracking, verification, deduplication, and export.
• Do not call external LLM-provider APIs as part of this skill.

Command surface

• dataset generate "<request>" [--count <n>]
• dataset collect "<topic or query>" [--urls url1 url2] [--paths ./dir]
• dataset verify <path/to/file>
• dataset audit [<path/to/file>]
• dataset export --format <openai|huggingface|csv|jsonl|all> [--schema-file path] [--split 0.1]

If dataset generate does not include a size, default to 500 records. If dataset collect does not include --max-results, default to 10 results per query.