Update to Claus Argos Skill OS

{
  "description": "Design adaptive learning systems for any subject using goal decomposition, prerequisite mapping, explanations, retrieval practice, deliberate exercises, spaced review, feedback, transfer tasks, and progress checks. Use for learning plans, tutoring, exam preparation, skill acquisition, onboarding, or mastering a topic efficiently.",
  "included_files": [
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 214
    }
  ],
  "name": "learn-anything-fast",
  "skill_md_contents": "---\nname: learn-anything-fast\ndescription: Design adaptive learning systems for any subject using goal decomposition, prerequisite mapping, explanations, retrieval practice, deliberate exercises, spaced review, feedback, transfer tasks, and progress checks. Use for learning plans, tutoring, exam preparation, skill acquisition, onboarding, or mastering a topic efficiently.\n---\n# Learn Anything Fast\n1. Define target performance, deadline, current level, constraints, preferred modes, stakes, and evidence of mastery.\n2. Diagnose prerequisites and misconceptions with a short assessment.\n3. Build a dependency-ordered curriculum emphasizing high-leverage concepts and active practice.\n4. Teach with concise explanation, example, retrieval, exercise, feedback, and transfer; adapt difficulty from performance.\n5. Schedule spaced review and interleaving; track errors by concept, not only total score.\n6. Return learning map, schedule, first lesson, practice set, mastery rubric, review system, and adjustment rules. Verify current facts for changing subjects.\n"
}