maintenance-window-planner
Purpose
Plan a maintenance window that balances operational safety, customer impact, rollback time, staffing, and dependency timing.
Trigger this skill when
- A cloud or platform decision needs operationally realistic review rather than generic best-practice talk.
- You need outputs that can feed architecture, operations, release, migration, or governance work.
- The team risks hand-waving ownership, drift, rollback, timing, or lifecycle constraints.
Expected inputs
- change scope
- customer or stakeholder impact
- dependency windows
- rollback duration
- support staffing
Deliverables
- maintenance window plan
- customer impact notes
- staffing assumptions
- rollback timing buffer
- approval-ready summary
Operating procedure
- Clarify the actual workload, platform boundary, environment scope, and operational ownership.
- Separate what is observed, measured, or approved from what is merely assumed.
- Produce the skill-specific artifact or review output.
- Surface lifecycle risks, drift, dependency timing, rollback gaps, and hidden ops burden explicitly.
- Recommend the next best handoff instead of trying to solve the whole platform strategy at once.
Quality gates
- The result is specific to the real workload and operating context.
- Ownership, timing, and rollback assumptions are visible.
- The output is usable by engineers, platform owners, ops staff, architects, or assessors.
- The recommendation reflects operational safety and maintainability, not only implementation speed.
Handoff targets
- patch-management-checker
- update-rollback-planner
- migration-wave-planner
Output style
- Be explicit about control, ownership, reversibility, and operational cost.
- Prefer concrete decision artifacts over general cloud prose.
- Surface evidence gaps instead of inventing certainty.
- Keep outputs reusable inside runbooks, ADRs, tickets, migration plans, and platform docs.
Failure modes to avoid
- Do not assume “cloud-native” means operationally simple.
- Do not ignore drift, tagging gaps, or unowned resources.
- Do not treat rollback as optional for risky updates or migrations.
- Do not bury customer impact or support timing behind architecture language.
Minimum output skeleton
## Summary
## Findings
## Structured outputs
## Risks / blockers
## Open questions
## Recommended next skill
1---2name: maintenance-window-planner3description: maintenance-window-planner4---5# maintenance-window-planner67## Purpose8Plan a maintenance window that balances operational safety, customer impact, rollback time, staffing, and dependency timing.910## Trigger this skill when11- A cloud or platform decision needs operationally realistic review rather than generic best-practice talk.12- You need outputs that can feed architecture, operations, release, migration, or governance work.13- The team risks hand-waving ownership, drift, rollback, timing, or lifecycle constraints.1415## Expected inputs16- change scope17- customer or stakeholder impact18- dependency windows19- rollback duration20- support staffing2122## Deliverables23- maintenance window plan24- customer impact notes25- staffing assumptions26- rollback timing buffer27- approval-ready summary2829## Operating procedure301. Clarify the actual workload, platform boundary, environment scope, and operational ownership.312. Separate what is observed, measured, or approved from what is merely assumed.323. Produce the skill-specific artifact or review output.334. Surface lifecycle risks, drift, dependency timing, rollback gaps, and hidden ops burden explicitly.345. Recommend the next best handoff instead of trying to solve the whole platform strategy at once.3536## Quality gates37- The result is specific to the real workload and operating context.38- Ownership, timing, and rollback assumptions are visible.39- The output is usable by engineers, platform owners, ops staff, architects, or assessors.40- The recommendation reflects operational safety and maintainability, not only implementation speed.4142## Handoff targets43- patch-management-checker44- update-rollback-planner45- migration-wave-planner4647## Output style48- Be explicit about control, ownership, reversibility, and operational cost.49- Prefer concrete decision artifacts over general cloud prose.50- Surface evidence gaps instead of inventing certainty.51- Keep outputs reusable inside runbooks, ADRs, tickets, migration plans, and platform docs.5253## Failure modes to avoid54- Do not assume “cloud-native” means operationally simple.55- Do not ignore drift, tagging gaps, or unowned resources.56- Do not treat rollback as optional for risky updates or migrations.57- Do not bury customer impact or support timing behind architecture language.5859## Minimum output skeleton60```md61## Summary62## Findings63## Structured outputs64## Risks / blockers65## Open questions66## Recommended next skill67```