Closed-loop, low-cost skill-tuning pipeline: a cheap model mass-generates adversarial evals; a capable model surgically tunes; curated scenarios become a public eval set.
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Updated
Jun 27, 2026
Closed-loop, low-cost skill-tuning pipeline: a cheap model mass-generates adversarial evals; a capable model surgically tunes; curated scenarios become a public eval set.
Tunes triggers and boundaries with Tune-Skill, then polishes discovery with Findable-Polish — use it only when you want both halves at once. A triggering-only fix belongs to tune-skill, a listing-only one to findable-polish. Not for creating skills (use draft-skill).
To associate your repository with the skill-tuning topic, visit your repo's landing page and select "manage topics."