Update to Aivana CIO Decision Twin

{
  "name": "cost-of-delay-calculator",
  "description": "Estimate qualitative cost of delay from value-at-risk, board risk, decision debt, audit exposure, customer trust and scarce capacity. Use when the user needs cost of delay calculator for CIO decision support.",
  "included_files": [
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 140
    }
  ],
  "skill_md_contents": "---\nname: cost-of-delay-calculator\ndescription: Estimate qualitative cost of delay from value-at-risk, board risk, decision debt, audit exposure, customer trust and scarce capacity. Use when the user needs cost of delay calculator for CIO decision support.\n---\n\n# Cost of Delay Calculator\n\n## Mission\n\nMake the cost of not deciding visible.\n\n## Inputs\n\nAccept decision packets, value-at-risk notes, budget context, project delays, decision debt, customer impact, audit gaps and resource constraints.\n\n## Workflow\n\n1. Identify delay drivers.\n2. Classify qualitative cost as Low, Medium or High.\n3. Map delay impacts across cost, delivery, audit, customer and capacity.\n4. Define next decision gate.\n5. State evidence needed for quantitative estimate.\n\n## Output Format\n\n- Executive Summary\n- Qualitative Cost of Delay\n- Drivers\n- Delay Impacts\n- Next Decision Gate\n- Evidence Needed\n- Evidence & Assumptions\n\n## Guardrails\n\nUse qualitative estimates unless numeric finance evidence is provided.\n"
}