Cloud Cost Optimization
wshobson/agents
Cuts cloud spend across AWS, Azure, GCP and OCI with cost tagging, rightsizing, commitment and spot pricing models, and architecture changes.
Performs a full AWS Well-Architected Framework review evaluating every framework question across all pillars discovered from the live AWS documentation by analyzing code, IaC, and configurations to…
$ npx skills add aws/agent-toolkit-for-aws --skill aws-well-architected-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aws/agent-toolkit-for-aws aws-well-architected-review --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/agent-toolkit-for-aws.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/core-skills/aws-well-architected-review .claude/skills/aws-well-architected-review && 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 "aws-well-architected-review" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/core-skills/aws-well-architected-review into .claude/skills/aws-well-architected-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-well-architected-review", 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/agent-toolkit-for-aws/tree/main/skills/core-skills/aws-well-architected-reviewType 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/agent-toolkit-for-aws --skill aws-well-architected-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aws/agent-toolkit-for-aws aws-well-architected-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/core-skills/aws-well-architected-review .agents/skills/aws-well-architected-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aws-well-architected-review" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/core-skills/aws-well-architected-review into .agents/skills/aws-well-architected-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-well-architected-review", 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/agent-toolkit-for-aws --skill aws-well-architected-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aws/agent-toolkit-for-aws aws-well-architected-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/core-skills/aws-well-architected-review .cursor/skills/aws-well-architected-review && 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 "aws-well-architected-review" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/core-skills/aws-well-architected-review into .cursor/skills/aws-well-architected-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-well-architected-review", 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/agent-toolkit-for-aws.git --path skills/core-skills/aws-well-architected-review--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/agent-toolkit-for-aws --skill aws-well-architected-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aws/agent-toolkit-for-aws aws-well-architected-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/core-skills/aws-well-architected-review .gemini/skills/aws-well-architected-review && 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 "aws-well-architected-review" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/core-skills/aws-well-architected-review into .gemini/skills/aws-well-architected-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-well-architected-review", 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/agent-toolkit-for-aws aws-well-architected-reviewInstalls 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/agent-toolkit-for-aws --skill aws-well-architected-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/core-skills/aws-well-architected-review .github/skills/aws-well-architected-review && 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 "aws-well-architected-review" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/core-skills/aws-well-architected-review into .github/skills/aws-well-architected-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-well-architected-review", 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/agent-toolkit-for-aws --skill aws-well-architected-review -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/agent-toolkit-for-aws aws-well-architected-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/core-skills/aws-well-architected-review .opencode/skills/aws-well-architected-review && 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 "aws-well-architected-review" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/core-skills/aws-well-architected-review into .opencode/skills/aws-well-architected-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-well-architected-review", 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.
aws-well-architected-reviewPerforms a full AWS Well-Architected Framework review evaluating every framework question across all pillars discovered from the live AWS documentation by analyzing code, IaC, and configurations to…
AWS Well Architected Review is an agent skill from aws/agent-toolkit-for-aws, published by the product's own GitHub organization. Performs a full AWS Well-Architected Framework review evaluating every framework question across all pillars discovered from the live AWS documentation by analyzing code, IaC, and configurations to produce evidence-backed findings with Eisenhower-prioritized remediation. Supports full reviews (every framework best practice with BP ID citations), quick reviews (question-level), pillar-scoped reviews, score-mode reviews (a maturity scorecard with per-pillar scores and filtered findings), and lens-specific reviews…
Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files and assets (for example `assets/report-template.md`, `references/discovery-procedure.md` and `references/evaluation-procedure.md`).
It sits in DevOps & Cloud, covering Cloud architecture. It works with Amazon Web Services. The repository describes itself as: Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS. The licence is Apache-2.0.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 2cb0fa1. 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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
AWS Well Architected Review loads about 3k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 234 tokens; SKILL.md has 1,409 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 no risky patterns in SKILL.md.
Automated 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/agent-toolkit-for-aws at commit 2cb0fa1, republished under its Apache-2.0 licence (© aws). 1,409 words, ~2,970 tokens.
.claude/skills/aws-well-architected-review/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.Guides a systematic AWS Well-Architected Framework (WA Framework) review: discover the workload from code and IaC, acquire the live corpus inventory, evaluate every framework question and best practice against evidence, and deliver a risk-ranked, Eisenhower-prioritized report inline.
Framework content is fetched from the live AWS documentation at review time rather than embedded as a snapshot. The AWS MCP server's documentation reader (aws___read_documentation) is recommended for reliable retrieval; when it is unavailable, fetch the same docs.aws.amazon.com pages over HTTPS with the environment's web-fetch tool, and if no documentation access exists at all, proceed from internal knowledge and disclose that the framework inventory could not be verified live. Do not depend on any non-public or internal best-practice/WA-guidance MCP; those are unavailable in supported runtimes.
Detailed procedures live in reference files — read each one when its step says to:
ACQUIRE_CORPUS stage: deterministic read-only traversal of the framework, the corpus records, and the validation gateBefore beginning any step, read and follow security considerations — secrets redaction, HTTPS-only retrieval, least privilege, and confidentiality handling must be loaded before you operate on workload code or review tooling.
A full review runs as a gated sequence. Each step has a transition gate; you MUST NOT advance to the next step, or skip a step, when its gate has not passed. The single user-visible deliverable is one complete inline report — scratch files (a run-local working directory) are execution state only, never the delivered artifact, and their paths MUST NOT appear in the report.
Non-interactive by default. When the user has explicitly requested a review and supplied sufficient scope, execute every step to completion without pausing for confirmation between steps. The discovery and risk-assessment checkpoints are internal validation gates, not user stops: validate them yourself and proceed. Pause for the user only when the user explicitly asked for interactive checkpoints, or when a required scope decision genuinely cannot be inferred (e.g. an ambiguous pillar-scoped request).
Non-negotiable invariants — ALL modes (full / quick / pillar-scoped / score):
ACQUIRE_CORPUS) is mode-independent: every mode acquires and validates the live corpus inventory before any assessment and reads its questions/BPs against that frozen manifest. Assessment MUST NOT begin against an incomplete or unvalidated manifest, and no mode may skip Step 4.PILLAR##-BP## ID. If corpus acquisition cannot produce an ID, that is a surfaced error, not a gap to invent around.Non-negotiable invariants — full review only:
# Well-Architected Review:. No "see file", attachment, or scratch-path deferral.Establish the workload from what the user provided:
- Workload name and brief description
- Code packages/directories to analyze (IaC, application code, CI/CD configs)
- Business criticality (critical, high, standard, low)
- Current pain points (optional)
If the user has already provided architecture details or you are in a codebase with IaC, proceed with discovery without prompting. When no code or IaC is available (the user describes their architecture verbally), proceed using the description as evidence; mark findings you cannot verify in code as "Based on description — verify in code." Do NOT ask for code when the user has already given enough context for a meaningful review.
Determine the review mode (full / quick / pillar-scoped / score) from the user's phrasing — read review modes. Determine whether the workload matches a live lens — read lens guidance when one does.
Read and follow the discovery procedure.
Continue following the discovery procedure, including its internal completeness gate before evaluation.
Read and follow the live corpus inventory procedure. First create the run-local working directory this review uses for scratch state — the corpus/ folder that holds questions.jsonl, best-practices.jsonl, and manifest.json referenced below. Then build the complete live corpus inventory (the question + best-practice manifest) by a bounded, read-only traversal of the canonical framework pages (prefer aws___read_documentation; see the reference for the non-MCP HTTPS fallback), reduce each page to structured records immediately, and validate the manifest.
Gate: you MUST NOT begin Step 5 until corpus/manifest.json reports valid: true. The frozen manifest is the sole authority for the expected question and BP sets used by evaluation, the coverage audit, and the report.
CRITICAL — DO NOT PRODUCE A SHORT REVIEW. The most common failure is citing a subset of BPs and stopping. A full review MUST evaluate every BP in the frozen manifest, each with a status from the five-value vocabulary (with rationale).
Read and follow the evaluation procedure. It defines per-pillar passes against the frozen manifest, aggregation, per-mode adjustments, and the coverage audit (its sub-steps are labelled 5a–5d). For each BP assess:
Evaluate every pillar in the frozen manifest, using its pillar names, prefixes, and question categories.
Read and follow the risk assessment procedure, including its internal gate.
Mode gate: For score mode, emit only the scorecard output from review modes. For quick and pillar-scoped reviews, apply the mode adjustments from review modes. For a lens-only request (the user named a single WA Lens and did not ask for a full framework review), produce a standalone lens report — the core framework tables are omitted and the deliverable is the Lens Findings section plus a lens scorecard, following lens guidance; when a lens is applied on top of a full review, keep the full structure and add the Lens Findings section. Otherwise — a full review — read the report template and produce the report with that exact structure. The report template is the authoritative list of mandatory sections; the following are the recall-critical ones that a weaker model most often drops (do NOT treat them as the complete set):
Emit the report inline as the final response, first line # Well-Architected Review:. Do not defer any section to a file.
After delivering the report, offer:
Would you like me to:
- Deep-dive into a specific pillar with expanded analysis?
- Generate IaC templates to remediate a specific finding?
- Create a migration plan for a specific architectural change?
- Compare your workload against a specific WA Lens in detail?
- Generate automated checks (Config rules, custom metrics) for ongoing compliance?
- Produce a WA Tool import for tracking in the AWS console?
Read and follow security considerations before using review tooling, sharing findings, or persisting artifacts.
© aws, Apache-2.0. 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 8 other files (references, assets) in skills/core-skills/aws-well-architected-review of aws/agent-toolkit-for-aws.
Open the folder on GitHubat commit 2cb0fa1
AWS Well Architected Review 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 |
|---|---|---|---|---|---|---|
| AWS Well Architected Review this skillaws/agent-toolkit-for-aws | 2.8k | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Cloud Cost Optimizationwshobson/agents | 40k | 14 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Thesvgglincker/thesvg | 2.8k | — | ~1.5k | Automated safety check: Pass | MIT | |
| AWS Cloud Advisortech-leads-club/agent-skills | 7k | — | ~2.1k | Automated safety check: Pass | CC-BY-4.0 | |
| Dangling DNS Finderanirudhbiyani/findmytakeover | 180 | — | ~1.8k | Automated safety check: Pass | GPL-3.0 | |
| AWS Architecture Diagramvidanov/aws-architecture-diagram-skill | 159 | — | ~4.9k | Automated safety check: Pass | MIT |
wshobson/agents
Cuts cloud spend across AWS, Azure, GCP and OCI with cost tagging, rightsizing, commitment and spot pricing models, and architecture changes.
glincker/thesvg
Fetch brand SVG logos and cloud architecture icons (AWS, Azure, GCP) from theSVG.
tech-leads-club/agent-skills
Answers AWS architecture, security and service-selection questions by searching AWS documentation through MCP tools first, then adapting advice to your stack and team.
anirudhbiyani/findmytakeover
Detect dangling DNS records and subdomain-takeover risks across a multi-cloud environment by running the bundled findmytakeover tool.
vidanov/aws-architecture-diagram-skill
Generate AWS architecture diagrams in draw.io format. An agent skill from vidanov/aws-architecture-diagram-skill.
wshobson/agents
Configure secure, high-performance connectivity between on-premises infrastructure and cloud platforms using VPN and dedicated connections.
aws/agent-toolkit-for-aws
Entry point for AI-agent work on AWS: pick a runtime, plan a migration for existing workloads, and build an executable POC — one phased flow.
aws/agent-toolkit-for-aws
A skill your agent uses to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or resource removal.
aws/agent-toolkit-for-aws
Migrates vibe-coded web applications to AWS. An agent skill from aws/agent-toolkit-for-aws.
aws/agent-toolkit-for-aws
Deploy an event-driven workflow that routes S3 uploads to either Lambda or Fargate via Step Functions based on file size.
aws/agent-toolkit-for-aws
Deploys, queries, and debugs AWS Marketplace usage-based (PAYG) metering — the pipeline (ResolveCustomer, BatchMeterUsage, EventBridge via SAM) and querying/debugging metering records, statuses…
aws/agent-toolkit-for-aws
A skill your agent uses when THIS agent needs to pay for x402-protected content at runtime: hitting a paywall mid-task, settling it via AgentCore Payments, and applying operator-defined spend limits.
Works with
Categories
Performs a full AWS Well-Architected Framework review evaluating every framework question across all pillars discovered from the live AWS documentation by analyzing code, IaC, and configurations to…. AWS Well Architected Review is an agent skill from aws/agent-toolkit-for-aws, published by the product's own GitHub organization. Performs a full AWS Well-Architected Framework review evaluating every framework question across all pillars discovered from the live AWS documentation by analyzing code, IaC, and configurations to produce evidence-backed findings with Eisenhower-prioritized remediation.
AWS Well Architected Review fits situations like: mentions of Well-Architected review; pillar assessment; architecture review across pillars; workload assessment.
Run `npx skills add aws/agent-toolkit-for-aws --skill aws-well-architected-review -a claude-code`. Or copy the skill folder (skills/core-skills/aws-well-architected-review in aws/agent-toolkit-for-aws) into .claude/skills/aws-well-architected-review in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aws/agent-toolkit-for-aws --skill aws-well-architected-review -a codex`. Or copy the skill folder (skills/core-skills/aws-well-architected-review in aws/agent-toolkit-for-aws) into .agents/skills/aws-well-architected-review 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/agent-toolkit-for-aws --skill aws-well-architected-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aws-well-architected-review, .gemini/skills/aws-well-architected-review, .github/skills/aws-well-architected-review and .opencode/skills/aws-well-architected-review in your project.
SKILL.md names no scripts, command-line tools or credentials: AWS Well Architected Review is instructions for the agent only.
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 found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
AWS Well Architected Review is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3k tokens (SKILL.md is roughly 12k 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 8.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with AWS Well Architected Review: Cloud Cost Optimization (wshobson/agents, 40k stars), Thesvg (glincker/thesvg, 2.8k stars), AWS Cloud Advisor (tech-leads-club/agent-skills, 7k stars) and Dangling DNS Finder (anirudhbiyani/findmytakeover, 180 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
aws (a GitHub organization, an official publisher) maintains it in aws/agent-toolkit-for-aws, which has 2,835 GitHub stars. The repository holds 138 skills in this directory. The repository was last updated on October 9, 2026.
Source: aws/agent-toolkit-for-aws on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.