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Skill optimizer

Advanced

Location: /studio/[project]/skillopt

Screenshot coming soon
Overview

The SkillOpt (AI skill optimization) tab automatically iterates on a user-edited 'skill document' (a scenario-improvement instruction). The optimizeSkill loop generates skill candidates each step, applies them to the current scenario, scores via the existing evaluator (/api/owntent/evaluate), and accepts an edit only when the held-out (craft) axis improves. With chosen epochs and an LR budget it shows initial-to-best scores and a per-step accept/reject log, and you can save the best skill or apply it to the project brief.

How to use
  1. 1Open the SkillOpt tab and edit the skill document (improvement instruction) or seed it from the brief.
  2. 2Choose epochs and an LR budget, then run Optimize.
  3. 3Watch the per-step accept/reject log and the initial-to-best score change (cancellable mid-run).
  4. 4Name and Save skill, or Apply to brief to use it in the project.
  5. 5Reload a saved skill to re-optimize, or delete it.
Models used

Scoring during optimization uses the same LLM backend as Evaluate: CLI agent (Codex/Claude Code) preferred or BYOK (OpenAI/Anthropic/Google). Saved skills are stored locally per project.

Tip

Optimization requires both a scenario and an LLM backend and incurs cost per evaluation step; start with small epochs/LR budget to confirm the score actually rises.

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