Skill Optimizer

Train an existing SKILL.md the way a deep-learning optimizer trains weights: via rollouts, gradient-like reflections, validation-gated acceptance. No model retraining; only the skill markdown changes.

When to use

Use this skill when:

• A pro-workflow skill has accumulated 8+ learn-rule rows for it
• The user reports the skill is "getting bloated" or "rules keep being repeated"
• The user wants offline, budget-capped improvement over multiple sessions

Do not use when:

• Skill has fewer than 8 trajectories (nothing to learn from)
• The user wants real-time edits (this is offline, single-shot)
• No ANTHROPIC_API_KEY (or equivalent provider key) is available

Architecture (mirrors SkillOpt's six-stage loop)