{"id":21374,"plugin_id":"plugins_6aac006819508191a02506fb32a88714","kind":"skill","collection_source":null,"comparison_source":null,"observed_at":"2026-09-30T23:16:53.753Z","digest":"5ac401f2ee28aabdcaaef6def8b094399516f2ba625948bab3ac9d9ba14d274f","against":null,"payload":{"description":"Assess whether organization, architecture, data, budget, governance, vendors and operations are ready for a transformation. Use before major programs, migrations and operating-model changes. Use when the user needs transformation readiness intelligence for CIO decision support.","included_files":[{"relative_path":"agents/openai.yaml","size_in_bytes":153}],"name":"transformation-readiness-intelligence","skill_md_contents":"---\nname: transformation-readiness-intelligence\ndescription: Assess whether organization, architecture, data, budget, governance, vendors and operations are ready for a transformation. Use before major programs, migrations and operating-model changes. Use when the user needs transformation readiness intelligence for CIO decision support.\n---\n\n# Transformation Readiness Intelligence\n\n## Mission\n\nDetermine whether the enterprise is actually ready to execute a transformation, not merely approved to start it.\n\n## Inputs\n\nAccept transformation charters, program plans, budgets, resource plans, architecture context, data-quality findings, vendor plans, governance model, risks and executive expectations.\n\n## Workflow\n\n1. Identify transformation goals, success measures, constraints and timeline.\n2. Assess readiness across strategy, funding, capacity, governance, architecture, data, security, operations and vendor ecosystem.\n3. Identify missing prerequisites, brittle assumptions and false-start risks.\n4. Recommend readiness gates, remediation actions and launch criteria.\n5. Produce a go / conditional go / no-go recommendation.\n\n## Output Format\n\n- Executive Summary\n- Readiness Scorecard\n- Critical Gaps\n- False-Start Risks\n- Required Prerequisites\n- Go / Conditional Go / No-Go Recommendation\n- Evidence & Assumptions\n- Missing Data\n\n## Guardrails\n\nDo not give a high-confidence go recommendation when core evidence is missing. Use conditional recommendations.\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}