adaptive-learner

Meta-skill for continuous AI self-improvement through structured feedback analysis. Creates domain-specific learning skills that accumulate actionable principles over time. Use this skill when: (1) The user wants the AI to learn and improve on a specific domain (e.g., VSL creation, sales coaching, content curation, code review). (2) The user provides examples of good vs bad outputs and wants the AI to extract reusable principles. (3) The user says things like "learn from this", "improve based on feedback", "remember this for next time", "analyze what works", "create a learning profile", "get better at X". (4) The user wants to create structured knowledge from repeated feedback loops. This skill does NOT replace domain expertise — it provides the methodology for extracting and storing transferable principles from user feedback.