{"id":21359,"plugin_id":"plugins_6aac006819508191a02506fb32a88714","kind":"skill","collection_source":null,"comparison_source":null,"observed_at":"2026-09-30T23:16:53.544Z","digest":"4a330461d4a53e10ed412fa2f9a86ce353ad727a6b9d18e1cc5f84e9075d5a97","against":null,"payload":{"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"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}