resource-lifecycle-planner
Purpose
Plan how cloud resources are provisioned, tagged, scaled, rotated, retired, and audited across their full lifecycle.
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
- resource inventory
- environment model
- ownership details
- scaling expectations
- retention or shutdown rules
Deliverables
- lifecycle policy
- ownership map
- tagging or naming rules
- retirement triggers
- automation opportunities
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
- orphaned-resource-auditor
- patch-management-checker
- update-rollback-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: resource-lifecycle-planner3description: resource-lifecycle-planner4---5# resource-lifecycle-planner67## Purpose8Plan how cloud resources are provisioned, tagged, scaled, rotated, retired, and audited across their full lifecycle.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- resource inventory17- environment model18- ownership details19- scaling expectations20- retention or shutdown rules2122## Deliverables23- lifecycle policy24- ownership map25- tagging or naming rules26- retirement triggers27- automation opportunities2829## 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- orphaned-resource-auditor44- patch-management-checker45- update-rollback-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```