AWS Cost Optimizer workflow skill. Use this skill when the user needs Comprehensive AWS cost analysis and optimization recommendations using AWS CLI and Cost Explorer and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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name
aws-cost-optimizer
description
AWS Cost Optimizer workflow skill. Use this skill when the user needs Comprehensive AWS cost analysis and optimization recommendations using AWS CLI and Cost Explorer and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/aws-cost-optimizer from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.
Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.
This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.
AWS Cost Optimizer Analyze AWS spending patterns, identify waste, and provide actionable cost reduction strategies.
Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Core Capabilities, Cost Optimization Checklist, Integration with Kiro CLI, Safety Notes, Limitations.
When to Use This Skill
Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.
Use this skill when you need to analyze AWS spending, identify cost optimization opportunities, or reduce cloud waste.
Use when the request clearly matches the imported source intent: Comprehensive AWS cost analysis and optimization recommendations using AWS CLI and Cost Explorer.
Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
Use when provenance needs to stay visible in the answer, PR, or review packet.
Use when copied upstream references, examples, or scripts materially improve the answer.
Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.
Operating Table
Situation
Start here
Why it matters
First-time use
metadata.json
Confirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow
Provenance review
ORIGIN.md
Gives reviewers a plain-language audit trail for the imported source
Workflow execution
SKILL.md
Starts with the smallest copied file that materially changes execution
Supporting context
SKILL.md
Adds the next most relevant copied source file without loading the entire package
Handoff decision
## Related Skills
Helps the operator switch to a stronger native skill when the task drifts
Workflow
This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.
Baseline Assessment
Pull 3-6 months of cost data
Identify top 5 spending services
Calculate growth rate
Quick Wins
Delete unattached EBS volumes
Release unused Elastic IPs
Imported Workflow Notes
Imported: Optimization Workflow
Baseline Assessment
Pull 3-6 months of cost data
Identify top 5 spending services
Calculate growth rate
Quick Wins
Delete unattached EBS volumes
Release unused Elastic IPs
Stop/terminate idle EC2 instances
Delete old snapshots
Strategic Optimization
Analyze Reserved Instance coverage
Review instance types vs. workload
Implement S3 lifecycle policies
Consider Spot instances for non-critical workloads
Ongoing Monitoring
Set up AWS Budgets with alerts
Enable Cost Anomaly Detection
Tag resources for cost allocation
Monthly cost review meetings
Imported: Core Capabilities
Cost Analysis
Parse AWS Cost Explorer data for trends and anomalies
Break down costs by service, region, and resource tags
Identify month-over-month spending increases
Resource Optimization
Detect idle EC2 instances (low CPU utilization)
Find unattached EBS volumes and old snapshots
Identify unused Elastic IPs
Locate underutilized RDS instances
Find old S3 objects eligible for lifecycle policies
Recommend instance rightsizing based on CloudWatch metrics
Identify resources in expensive regions
Calculate potential savings with specific actions
Examples
Example 1: Ask for the upstream workflow directly
Use @aws-cost-optimizer to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.
Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.
Example 2: Ask for a provenance-grounded review
Review @aws-cost-optimizer against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.
Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.
Example 3: Narrow the copied support files before execution
Use @aws-cost-optimizer for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.
Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.
Example 4: Build a reviewer packet
Review @aws-cost-optimizer using the copied upstream files plus provenance, then summarize any gaps before merge.
Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.
Imported Usage Notes
Imported: AWS CLI Commands
Get Cost and Usage
# Last 30 days cost by service
aws ce get-cost-and-usage \
--time-period Start=$(date -d '30 days ago' +%Y-%m-%d),End=$(date +%Y-%m-%d) \
--granularity MONTHLY \
--metrics BlendedCost \
--group-by Type=DIMENSION,Key=SERVICE
# Daily costs for current month
aws ce get-cost-and-usage \
--time-period Start=$(date +%Y-%m-01),End=$(date +%Y-%m-%d) \
--granularity DAILY \
--metrics UnblendedCost
"Show me AWS costs for the last 3 months broken down by service"
"What are my top 10 most expensive resources?"
"Compare this month's spending to last month"
Optimization
"Find all unattached EBS volumes and calculate savings"
"Identify EC2 instances with <5% CPU utilization"
"Suggest Reserved Instance purchases based on usage"
"Calculate savings from deleting snapshots older than 90 days"
Implementation
"Create a script to delete unattached volumes"
"Set up a budget alert for $1000/month"
"Generate a cost optimization report for leadership"
Best Practices
Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.
Always test in non-production first
Verify resources are truly unused before deletion
Document all cost optimization actions
Calculate ROI for optimization efforts
Automate recurring optimization tasks
Use AWS Trusted Advisor recommendations
Enable AWS Cost Anomaly Detection
Imported Operating Notes
Imported: Best Practices
Always test in non-production first
Verify resources are truly unused before deletion
Document all cost optimization actions
Calculate ROI for optimization efforts
Automate recurring optimization tasks
Use AWS Trusted Advisor recommendations
Enable AWS Cost Anomaly Detection
Troubleshooting
Problem: The operator skipped the imported context and answered too generically
Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/aws-cost-optimizer, fails to mention provenance, or does not use any copied source files at all.
Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.
Problem: The imported workflow feels incomplete during review
Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task.
Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.
Problem: The task drifted into a different specialization
Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better.
Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.
Related Skills
@00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
@00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
@10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
@10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
Additional Resources
Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.
Resource family
What it gives the reviewer
Example path
references
copied reference notes, guides, or background material from upstream
references/n/a
examples
worked examples or reusable prompts copied from upstream
examples/n/a
scripts
upstream helper scripts that change execution or validation
scripts/n/a
agents
routing or delegation notes that are genuinely part of the imported package
agents/n/a
assets
supporting assets or schemas copied from the source package
This skill works seamlessly with Kiro CLI's AWS integration:
# Use Kiro to analyze costs
kiro-cli chat "Use aws-cost-optimizer to analyze my spending"# Generate optimization report
kiro-cli chat "Create a cost optimization plan using aws-cost-optimizer"
Imported: Safety Notes
Risk Level: Low - Read-only analysis is safe
Deletion Actions: Medium Risk - Always verify before deleting resources
Production Changes: High Risk - Test rightsizing in dev/staging first
Maintain backups before any deletion
Use --dry-run flag when available
Imported: Limitations
Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
