AWS Cost Operations
zxkane/aws-skills
AWS cost optimization, monitoring, and operational excellence expert.
Run a live EKS cluster cost efficiency assessment — analyze spending across 6 dimensions (compute efficiency, Spot/Graviton adoption, networking, storage, observability, idle resources), calculate a…
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add aws-samples/appmod-blueprints --skill eks-cost-intelligence -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aws-samples/appmod-blueprints eks-cost-intelligence --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aws-samples/appmod-blueprints.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.kiro/skills/eks-cost-intelligence .claude/skills/eks-cost-intelligence && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "eks-cost-intelligence" agent skill from https://github.com/aws-samples/appmod-blueprints/tree/main/.kiro/skills/eks-cost-intelligence into .claude/skills/eks-cost-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eks-cost-intelligence", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aws-samples/appmod-blueprints/tree/main/.kiro/skills/eks-cost-intelligenceType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aws-samples/appmod-blueprints --skill eks-cost-intelligence -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aws-samples/appmod-blueprints eks-cost-intelligence --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/appmod-blueprints.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.kiro/skills/eks-cost-intelligence .agents/skills/eks-cost-intelligence && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "eks-cost-intelligence" agent skill from https://github.com/aws-samples/appmod-blueprints/tree/main/.kiro/skills/eks-cost-intelligence into .agents/skills/eks-cost-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eks-cost-intelligence", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aws-samples/appmod-blueprints --skill eks-cost-intelligence -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aws-samples/appmod-blueprints eks-cost-intelligence --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/appmod-blueprints.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.kiro/skills/eks-cost-intelligence .cursor/skills/eks-cost-intelligence && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "eks-cost-intelligence" agent skill from https://github.com/aws-samples/appmod-blueprints/tree/main/.kiro/skills/eks-cost-intelligence into .cursor/skills/eks-cost-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eks-cost-intelligence", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aws-samples/appmod-blueprints.git --path .kiro/skills/eks-cost-intelligence--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aws-samples/appmod-blueprints --skill eks-cost-intelligence -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aws-samples/appmod-blueprints eks-cost-intelligence --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/appmod-blueprints.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.kiro/skills/eks-cost-intelligence .gemini/skills/eks-cost-intelligence && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "eks-cost-intelligence" agent skill from https://github.com/aws-samples/appmod-blueprints/tree/main/.kiro/skills/eks-cost-intelligence into .gemini/skills/eks-cost-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eks-cost-intelligence", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aws-samples/appmod-blueprints eks-cost-intelligenceInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aws-samples/appmod-blueprints --skill eks-cost-intelligence -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aws-samples/appmod-blueprints.git skills-src && mkdir -p .github/skills && cp -r skills-src/.kiro/skills/eks-cost-intelligence .github/skills/eks-cost-intelligence && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "eks-cost-intelligence" agent skill from https://github.com/aws-samples/appmod-blueprints/tree/main/.kiro/skills/eks-cost-intelligence into .github/skills/eks-cost-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eks-cost-intelligence", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aws-samples/appmod-blueprints --skill eks-cost-intelligence -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aws-samples/appmod-blueprints eks-cost-intelligence --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/appmod-blueprints.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.kiro/skills/eks-cost-intelligence .opencode/skills/eks-cost-intelligence && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "eks-cost-intelligence" agent skill from https://github.com/aws-samples/appmod-blueprints/tree/main/.kiro/skills/eks-cost-intelligence into .opencode/skills/eks-cost-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eks-cost-intelligence", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
eks-cost-intelligenceRun a live EKS cluster cost efficiency assessment — analyze spending across 6 dimensions (compute efficiency, Spot/Graviton adoption, networking, storage, observability, idle resources), calculate a…
Eks Cost Intelligence is an agent skill from aws-samples/appmod-blueprints, published by the product's own GitHub organization. Run a live EKS cluster cost efficiency assessment — analyze spending across 6 dimensions (compute efficiency, Spot/Graviton adoption, networking, storage, observability, idle resources), calculate a weighted 0-100 Cost Score, and generate a prioritized report with dollar-quantified findings and ready-to-apply remediation snippets. Use this skill when someone asks "how much am I wasting on EKS?", "run a cost audit on my cluster", "what's my biggest cost driver?", "analyze my cluster's cost efficiency", or needs…
Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including reference files (for example `README.md`, `references/compute-efficiency.md` and `references/cost-data-collection.md`).
It sits in DevOps & Cloud, covering Container orchestration, Cloud cost optimization and Observability. It works with Kubernetes, Amazon Web Services and Model Context Protocol. The licence is MIT-0.
9 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 723cdc0. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
awskubectlpython3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use aws and kubectl, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Eks Cost Intelligence loads about 3.8k tokens when it runs, and up to ~83k if it reads all its reference files. Until then it costs about 239 tokens; SKILL.md has 1,689 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found patterns that need a careful read before installing.
ls configured** — `aws configure` or `~/.aws/credentials` with EKS accessAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from aws-samples/appmod-blueprints at commit 723cdc0, republished under its MIT-0 licence (© aws-samples). 1,689 words, ~3,821 tokens.
.claude/skills/eks-cost-intelligence/SKILL.md (or your agent's skills folder). This skill also uses 13 other files; get the full folder from GitHub.This skill performs a live cost efficiency assessment of your EKS cluster. It connects via AWS CLI and kubectl, analyzes cost signals across 6 dimensions, calculates a weighted Cost Score (0–100), and produces a detailed report with dollar-quantified findings, prioritized recommendations, and pre-filled remediation snippets.
This skill is focused on live cost assessment — answering the question: "Where is this cluster wasting money, and how much can I save?"
Activate when the user:
Do NOT activate when the user:
eks-best-practices (static advisory)eks-best-practiceseks-operation-revieweks-reconeks-upgrade-checkeks-mcp-server| User Intent | Correct Skill | Why |
|---|---|---|
| "How should I optimize EKS costs?" | eks-best-practices | Advisory/design question — no live cluster needed |
| "Analyze my cluster's cost efficiency" | eks-cost-intelligence | Live assessment against a specific cluster |
| "Run an operational review" | eks-operation-review | Operational health, not cost-specific |
| "What version am I running?" | eks-recon | Cluster discovery, not cost analysis |
| "Is my cluster ready to upgrade?" | eks-upgrade-check | Upgrade readiness, not cost posture |
aws configure or ~/.aws/credentials with EKS accesseks:DescribeCluster, eks:ListClusters, eks:ListNodegroups, eks:DescribeNodegroupec2:DescribeInstances, ec2:DescribeVolumes, ec2:DescribeSubnets, ec2:DescribeVpcEndpointselasticloadbalancing:DescribeLoadBalancers, elasticloadbalancing:DescribeTargetHealthce:GetCostAndUsage — enables dollar-accurate spend data from Cost Explorercloudwatch:GetMetricData — enables utilization-based analysis from Container Insights| Source | Access Method | What It Provides |
|---|---|---|
| AWS Cost Explorer | aws ce get-cost-and-usage or MCP | Actual spend by service/tag |
| CloudWatch Container Insights | aws cloudwatch get-metric-data or MCP | CPU/memory utilization per pod/node |
| Kubernetes API | kubectl or MCP list_k8s_resources | Resource requests, limits, replica counts, PVCs |
| EC2 API | aws ec2 describe-instances | Instance types, pricing tier, Spot vs On-Demand |
If Cost Explorer is unavailable, the skill falls back to node-based cost estimation (see references/cost-estimation-fallback.md).
This skill works without any MCP server — it falls back to AWS CLI and kubectl commands. That fallback path is the default.
For richer operations (live cluster reads, CloudWatch metrics), enable the EKS MCP server via the eks-mcp-server skill. Once configured, this skill will prefer MCP tools over CLI for EKS operations.
Invoke the skill or simply ask: "Run a cost analysis on my EKS cluster"
The skill will discover your clusters, confirm which one to assess, then run the full 6-dimension assessment.
Action 1 — List clusters (test connectivity & discover clusters)
Run aws eks list-clusters to discover available clusters.
Cannot access EKS clusters. Try these steps:
- Check that AWS credentials are configured:
aws sts get-caller-identity- Check your region:
aws eks list-clusters --region <region>- Verify permissions:
eks:ListClustersis required
Wait for the user to resolve the issue.
Action 2 — Describe the selected cluster
Run aws eks describe-cluster --name <cluster> and show: cluster name, Kubernetes version, platform version, region, status, account ID.
Action 3 — Validate cluster status
Check the status field. If status is NOT ACTIVE:
<status> state. Wait for the operation to complete, then re-run this assessment."Do NOT proceed if cluster status is not ACTIVE.
Action 4 — Gather cluster context
Collect:
aws eks list-nodegroups --cluster-name <cluster>aws eks list-addons --cluster-name <cluster>kubectl get nodes -o wideAction 5 — Confirm and proceed
Show the cluster summary and ask: "Ready to start the cost assessment on [cluster-name] (v[version], [N] nodes)?"
Proceed only after the user confirms.
Read references/compute-efficiency.md before executing checks.
Checks:
If metrics-server or Container Insights is unavailable, mark utilization checks as SKIPPED and proceed with request-only analysis.
Read references/spot-graviton-adoption.md before executing checks.
Checks:
Read references/networking-costs.md before executing checks.
Checks:
Read references/storage-costs.md before executing checks.
Checks:
Read references/observability-costs.md before executing checks.
Checks:
Read references/idle-resources.md before executing checks.
Checks:
Read references/report-generation.md for the scoring algorithm.
Apply the scoring model:
Read references/report-generation.md for the report template.
Generate the report:
EKS-Cost-Intelligence-{cluster}-{YYYY-MM-DD}-{HHMM}.mdtools/report_to_html.pyThe skill calculates a weighted cost efficiency score:
| Dimension | Max Deduction | What It Measures |
|---|---|---|
| Compute Efficiency | 25 pts | CPU/memory waste, over-provisioning, missing requests |
| Spot/Graviton Adoption | 20 pts | Spot percentage, Graviton eligibility, instance diversity |
| Networking Costs | 15 pts | Cross-AZ traffic, VPC endpoints, topology routing |
| Storage Costs | 15 pts | gp2→gp3, unused PVCs, oversized volumes |
| Observability Costs | 10 pts | Control plane logging, metric cardinality, log levels |
| Idle Resources | 15 pts | Zero-scale deploys, orphaned LBs, empty namespaces |
Score Classification:
Key differences from eks-upgrade-check scoring:
The following are intentionally excluded from the initial release and may be added in future versions:
| Area | Rationale |
|---|---|
| Savings Plans / RI coverage scoring | Data is collected (see cost-data-collection.md) but not scored as a dimension. SP/RI decisions are account-level purchasing decisions, not cluster-level configuration. Findings are surfaced as informational notes when coverage < 70%, but do not contribute to the Cost Score. |
| Namespace/team cost attribution as a scored dimension | The skill reports namespace cost allocation (via Split Cost Allocation Data or request-based estimation) in the report's methodology section, but does not score attribution quality. Attribution is an observability concern, not a waste indicator. |
| GPU utilization efficiency | Only relevant for ML-heavy clusters. Deferred to a future enhancement. |
| Non-prod time-based downscaling | High-ROI quick win but requires time-series analysis beyond a point-in-time assessment. Planned for Idle Resources dimension enhancement. |
| Internet egress optimization | Covered partially by NAT Gateway analysis; full egress optimization is out of scope. |
aws CLI and kubectl for cluster queries. If MCP servers are available, prefer them for EKS operations.Before executing checks for any dimension, read the corresponding reference file from skills/eks-cost-intelligence/references/.
| User Request | Reference File(s) to Load |
|---|---|
| Full cost assessment / audit / review | ALL dimension files in order (Steps 1–6), then report-generation.md |
| Compute efficiency / over-provisioning / CPU waste | references/compute-efficiency.md |
| Spot / Graviton / instance types / arm64 | references/spot-graviton-adoption.md |
| Networking costs / cross-AZ / NAT / VPC endpoints | references/networking-costs.md |
| Storage costs / gp2 / PVC / EBS | references/storage-costs.md |
| Observability / logging / metrics / cardinality | references/observability-costs.md |
| Idle resources / unused / orphaned / zero-scale | references/idle-resources.md |
| Score calculation / scoring algorithm | references/report-generation.md |
| Generate report / produce report | references/report-generation.md |
| Cost data collection / API calls | references/cost-data-collection.md |
| Waste formulas / dollar calculation | references/waste-calculation.md |
| Fallback estimation / no Cost Explorer | references/cost-estimation-fallback.md |
| Finding format / output schema | references/findings-format.md |
EKS-Cost-Intelligence-{cluster}-{YYYY-MM-DD}-{HHMM}.mdpython3 ${SKILL_DIR}/tools/report_to_html.py <report>.md to convertDo NOT generate HTML manually. Always use the conversion script.
The report includes:
This skill is provided as sample code for educational and demonstration purposes only. Findings should be reviewed and validated before acting on them. See the project's README and LICENSE for full terms.
© aws-samples, MIT-0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 13 other files (references) in .kiro/skills/eks-cost-intelligence of aws-samples/appmod-blueprints.
Open the folder on GitHubat commit 723cdc0
Eks Cost Intelligence next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Eks Cost Intelligence this skillaws-samples/appmod-blueprints | 113 | — | ~3.8k | Automated safety check: Warn | MIT-0 | |
| AWS Cost Operationszxkane/aws-skills | 367 | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Azure Kubernetesmicrosoft/GitHub-Copilot-for-Azure | 255 | 1 repos | ~2.7k | Automated safety check: Pass | MIT | |
| AWS Cost OperationsMicrock/ordinary-claude-skills | 401 | 1 repos | ~2.5k | Automated safety check: Pass | Custom licence | |
| AWS Agentic AIzxkane/aws-skills | 367 | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| K8s Agent Sandbox MCPkubernetes-sigs/agent-sandbox | 4.2k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 |
zxkane/aws-skills
AWS cost optimization, monitoring, and operational excellence expert.
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aws-samples/appmod-blueprints
Advisory guidance for Amazon EKS architecture and configuration decisions — compute strategy, networking, security, reliability, cost, autoscaling, observability, multi-tenancy, and upgrade planning.
aws-samples/appmod-blueprints
Systematic troubleshooting for the PEEKS workshop platform — EKS clusters, Terraform state, ingress, load balancers, MCP tool failures, YAML validation.
aws-samples/appmod-blueprints
EKS cluster reconnaissance and environment discovery. An agent skill from aws-samples/appmod-blueprints.
aws-samples/appmod-blueprints
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aws-samples/appmod-blueprints
Assess EKS cluster upgrade readiness — run automated checks across 8 areas (version, breaking changes, deprecated APIs, add-on compatibility, node readiness, workload risks, AWS Insights, upgrade…
aws-samples/appmod-blueprints
A skill your agent uses whenever someone is designing or building an Internal Developer Platform (IDP) or doing platform engineering on Amazon EKS — phrased as "build a developer platform"…
Categories
Run a live EKS cluster cost efficiency assessment — analyze spending across 6 dimensions (compute efficiency, Spot/Graviton adoption, networking, storage, observability, idle resources), calculate a…. Eks Cost Intelligence is an agent skill from aws-samples/appmod-blueprints, published by the product's own GitHub organization. Run a live EKS cluster cost efficiency assessment — analyze spending across 6 dimensions (compute efficiency, Spot/Graviton adoption, networking, storage, observability, idle resources), calculate a weighted 0-100 Cost Score, and generate a prioritized report with dollar-quantified findings and ready-to-apply remediation snippets.
Eks Cost Intelligence fits situations like: someone asks how much am I wasting on EKS?; run a cost audit on my cluster; whats my biggest cost driver?; analyze my clusters cost efficiency.
Run `npx skills add aws-samples/appmod-blueprints --skill eks-cost-intelligence -a claude-code`. Or copy the skill folder (.kiro/skills/eks-cost-intelligence in aws-samples/appmod-blueprints) into .claude/skills/eks-cost-intelligence in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aws-samples/appmod-blueprints --skill eks-cost-intelligence -a codex`. Or copy the skill folder (.kiro/skills/eks-cost-intelligence in aws-samples/appmod-blueprints) into .agents/skills/eks-cost-intelligence in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aws-samples/appmod-blueprints --skill eks-cost-intelligence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/eks-cost-intelligence, .gemini/skills/eks-cost-intelligence, .github/skills/eks-cost-intelligence and .opencode/skills/eks-cost-intelligence in your project.
Going by SKILL.md and its folder, Eks Cost Intelligence needs Python for the scripts in its folder and the command-line tools its instructions call (aws, kubectl and python3). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md flagged 1 warning(s): mentions a credentials file (ssh keys, cloud or package-manager tokens). Read the flagged lines before installing; the check is not a guarantee either way.
Eks Cost Intelligence is published under the MIT-0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 79k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Eks Cost Intelligence: AWS Cost Operations (zxkane/aws-skills, 367 stars), Azure Kubernetes (microsoft/GitHub-Copilot-for-Azure, 255 stars), AWS Cost Operations (Microck/ordinary-claude-skills, 401 stars) and AWS Agentic AI (zxkane/aws-skills, 367 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
aws-samples (a GitHub organization, an official publisher) maintains it in aws-samples/appmod-blueprints, which has 113 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 6, 2026.
Source: aws-samples/appmod-blueprints on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.