Update to Aivana CIO Decision Twin

{
  "name": "strategic-drift-detector",
  "description": "Detect initiatives that are drifting from strategy, value, architecture, security or operating-model intent and propose stop/change/continue gates. Use when the user needs strategic drift detector for CIO decision support.",
  "included_files": [
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 140
    }
  ],
  "skill_md_contents": "---\nname: strategic-drift-detector\ndescription: Detect initiatives that are drifting from strategy, value, architecture, security or operating-model intent and propose stop/change/continue gates. Use when the user needs strategic drift detector for CIO decision support.\n---\n\n# Strategic Drift Detector\n\n## Mission\n\nFind work that continues to consume money and attention after its strategic rationale has weakened.\n\n## Inputs\n\nAccept strategy notes, roadmaps, project updates, budgets, architecture reviews, adoption metrics, vendor plans and steering decisions.\n\n## Workflow\n\n1. Compare stated strategy with current execution signals.\n2. Detect value drift, architecture drift, security/control drift, adoption drift and funding drift.\n3. Identify sunk-cost behavior and continuation without evidence.\n4. Build stop/change/continue gates.\n5. Recommend which initiatives require executive revalidation.\n\n## Output Format\n\n- Executive Summary\n- Drift Signals\n- Value / Architecture / Control Fit\n- Stop / Change / Continue Gate\n- Executive Revalidation Items\n- Evidence & Assumptions\n\n## Guardrails\n\nDo not recommend stopping strategic work solely from weak evidence. Mark confidence and evidence gaps.\n"
}