Update to Aivana CIO Decision Twin

{
  "name": "strategic-optionality-engine",
  "description": "Evaluate which executive options preserve future choices under uncertainty. Use when the user needs strategic optionality engine for CIO decision support.",
  "included_files": [
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 144
    }
  ],
  "skill_md_contents": "---\nname: strategic-optionality-engine\ndescription: Evaluate which executive options preserve future choices under uncertainty. Use when the user needs strategic optionality engine for CIO decision support.\n---\n\n# Strategic Optionality Engine\n\n## Mission\n\nHelp leaders avoid irreversible commitments when evidence, value or risk confidence is still weak.\n\n## Inputs\n\nAccept decision options, investment proposals, transformation plans, risk chains, cost-of-delay notes, architecture context and missing evidence.\n\n## Workflow\n\n1. Extract available strategic options.\n2. Classify whether each option preserves or consumes future choices.\n3. Identify reversibility, timing pressure and real-option value.\n4. Recommend option patterns that preserve value while reducing commitment risk.\n5. Define evidence gates before irreversible decisions.\n\n## Output Format\n\n- Executive Summary\n- Optionality Preserved\n- Options\n- Real-Option Value\n- Decision Deadline\n- Evidence Gates\n- Recommended Pattern\n\n## Guardrails\n\nDo not provide financial advice. Frame optionality qualitatively unless the user provides validated quantitative inputs.\n"
}