Cost Optimization Cloud
Optimize cloud spend with explicit tradeoffs across cost, performance, and reliability. Use when spend or forecast misses budget targets and teams need concrete optimization actions without violating SLOs or compliance constraints; do not use for purely functional product behavior design.
Install
$ agentstack add skill-kentoshimizu-sw-agent-skills-cost-optimization-cloud ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-kentoshimizu-sw-agent-skills-cost-optimization-cloud) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Cost Optimization Cloud
Overview
Use this skill to produce actionable cloud cost reductions that preserve service quality and operational safety.
Scope Boundaries
- Use this skill when the task matches the trigger condition described in
description. - Do not use this skill when the primary task falls outside this skill's domain.
Inputs To Gather
- Cost breakdown by service/account/environment/tag.
- Utilization telemetry (CPU, memory, I/O, request profile, idle windows).
- Reliability and performance guardrails (SLO, latency, availability).
- Contractual/compliance constraints and migration limits.
Deliverables
- Prioritized optimization backlog with savings estimate and confidence.
- Risk-assessed rollout sequence.
- Verification plan for savings and regression detection.
- Reversal plan for harmful optimizations.
Optimization Decision Buckets
waste removal: idle resources, overprovisioned instances, orphaned storage.efficiency: rightsizing, autoscaling policy tuning, query/request optimization.pricing: reservations/savings plans, spot usage where safe.architecture: storage tiering, cache strategy, async/off-peak processing.
Quick Example
- Observation: cluster CPU < 15% for 14 days, memory < 25%.
- Action: downsize node class + adjust autoscaling floor.
- Guardrail: p95 latency and error rate must remain within pre-change bounds.
- Rollback: revert size within one deployment window if guardrail breaches.
Quality Standard
- Every recommendation includes expected savings, confidence, and risk.
- Recommendations explicitly state SLO/compliance impact.
- Rollout uses low-blast-radius sequence.
- Post-change metrics and rollback triggers are pre-defined.
Workflow
- Identify top cost drivers with workload attribution.
- Generate candidate actions by decision bucket.
- Quantify savings, risk, and implementation effort.
- Sequence actions by ROI and operational safety.
- Execute incrementally with guardrail monitoring.
- Validate realized savings and capture lessons.
Failure Conditions
- Stop when savings action violates SLO/compliance constraints.
- Stop when cost attribution confidence is too low for safe action.
- Escalate when forecast variance remains unexplained after top-driver analysis.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: KentoShimizu
- Source: KentoShimizu/sw-agent-skills
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.