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.
Design, review, and validate Azure cloud architectures. An agent skill from borghei/Claude-Skills.
Install Azure Cloud Architect
$ npx skills add borghei/Claude-Skills --skill azure-cloud-architect -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install borghei/Claude-Skills azure-cloud-architect --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/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engineering/azure-cloud-architect .claude/skills/azure-cloud-architect && 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 "azure-cloud-architect" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/azure-cloud-architect into .claude/skills/azure-cloud-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-cloud-architect", 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/borghei/Claude-Skills/tree/main/engineering/azure-cloud-architectType 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 borghei/Claude-Skills --skill azure-cloud-architect -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install borghei/Claude-Skills azure-cloud-architect --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/engineering/azure-cloud-architect .agents/skills/azure-cloud-architect && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "azure-cloud-architect" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/azure-cloud-architect into .agents/skills/azure-cloud-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-cloud-architect", 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 borghei/Claude-Skills --skill azure-cloud-architect -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install borghei/Claude-Skills azure-cloud-architect --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/engineering/azure-cloud-architect .cursor/skills/azure-cloud-architect && 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 "azure-cloud-architect" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/azure-cloud-architect into .cursor/skills/azure-cloud-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-cloud-architect", 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/borghei/Claude-Skills.git --path engineering/azure-cloud-architect--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 borghei/Claude-Skills --skill azure-cloud-architect -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install borghei/Claude-Skills azure-cloud-architect --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/engineering/azure-cloud-architect .gemini/skills/azure-cloud-architect && 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 "azure-cloud-architect" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/azure-cloud-architect into .gemini/skills/azure-cloud-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-cloud-architect", 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 borghei/Claude-Skills azure-cloud-architectInstalls 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 borghei/Claude-Skills --skill azure-cloud-architect -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/engineering/azure-cloud-architect .github/skills/azure-cloud-architect && 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 "azure-cloud-architect" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/azure-cloud-architect into .github/skills/azure-cloud-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-cloud-architect", 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 borghei/Claude-Skills --skill azure-cloud-architect -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install borghei/Claude-Skills azure-cloud-architect --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/engineering/azure-cloud-architect .opencode/skills/azure-cloud-architect && 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 "azure-cloud-architect" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/azure-cloud-architect into .opencode/skills/azure-cloud-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-cloud-architect", 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.
Facts
- Skill name
azure-cloud-architect- GitHub stars
- 881
- Token cost
- ~1.4k tokens
- SKILL.md length
- 520 words
- Files
- 9 (incl. scripts, references)
- Skills in repo
- 349
- Repo updated
- First seen
- Licence
- MIT
At a glance
Design, review, and validate Azure cloud architectures. An agent skill from borghei/Claude-Skills.
- Choosing Azure compute
- SKILL.md covers Core Capabilities, When to Use, Clarify First and Tools, plus 2 more sections
- Runs Python scripts from its folder; calls python
- Identity services
What it does
Azure Cloud Architect is an agent skill from borghei/Claude-Skills. Design, review, and validate Azure cloud architectures. Use when choosing Azure compute, storage, networking, or identity services, or applying the Azure Well-Architected Framework to a workload.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `references/azure-cost-optimization.md`, `references/azure-decision-trees.md` and `references/azure-services-reference.md`).
It sits in DevOps & Cloud, covering Cloud architecture. It works with Microsoft Azure. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.
When your agent uses it
- Choosing Azure compute
- Identity services
- Applying the Azure Well-Architected Framework to a workload
Example prompts
- “/azure-cloud-architect”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 4a698e8. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Azure Cloud Architect loads about 1.4k tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 520 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.
Safety
Auto-check passed
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); the scripts in this folder are not scanned.
SKILL.md
The full file from borghei/Claude-Skills at commit 4a698e8, republished under its MIT licence (© borghei). 520 words, ~1,406 tokens.
Download SKILL.mdSave it as
.claude/skills/azure-cloud-architect/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.- name
- azure-cloud-architect
- description
- Design, review, and validate Azure cloud architectures. Use when choosing Azure compute, storage, networking, or identity services, or applying the Azure Well-Architected Framework to a workload.
- license
- MIT + Commons Clause
- metadata.version
- 1.1.0
- metadata.author
- borghei
- metadata.category
- engineering
- metadata.domain
- engineering
- metadata.updated
- 2026-06-17
- metadata.tags
- azure, cloud-architecture, well-architected-framework, aks, app-service, entra-id, networking, cost-optimization
Azure Cloud Architect
End-to-end Azure-specific architecture: service selection, Well-Architected Framework assessment, identity and networking patterns, cost optimization, and operational defaults. Provider-specific complement to our generic senior-cloud-architect skill — that one covers cross-cloud patterns; this one knows AKS pricing tiers, when to pick Cosmos over SQL DB, and how Front Door differs from Application Gateway.
Core Capabilities
- Compute selection — decision tree across AKS, App Service, Container Apps, Functions, VMs/VMSS, Batch, Static Web Apps, and API gateways.
- Data store selection — relational, NoSQL/document, cache, blob, time-series, search, vector, and warehouse decision trees.
- Networking design — VNets, Private/Service Endpoints, gateways (App Gateway, Front Door, Firewall, NAT, VPN/ER), hub-and-spoke and Private Link patterns.
- Identity design — Entra ID, Managed Identity (system/user-assigned), Workload Identity, Service Principals, and least-privilege RBAC scoping.
- WAF assessment — score workloads across Reliability, Security, Cost, Operational Excellence, and Performance Efficiency pillars.
- Cost optimization — right-sizing, reservations, autoscaling, spot, storage tiering, and egress-reduction levers with anti-pattern detection.
When to Use
| Situation | Skill applies |
|---|---|
| Designing an Azure architecture from scratch | Yes — start with the compute decision tree |
| Reviewing an existing Azure architecture | Yes — run WAF assessment via scripts/azure_waf_scorer.py |
| Validating an ARM/Bicep/Terraform plan | Yes — scripts/azure_architecture_validator.py |
| Estimating Azure cost for a workload | Yes — scripts/azure_cost_estimator.py |
| Picking compute, data store, networking, or identity | Yes — see the decision-trees reference |
| Going to production without WAF review | Don't — run the WAF scorer first |
Clarify First
Before designing or assessing, confirm these inputs. If any is unknown or vague, ASK — do not assume:
- Task — design from scratch, review an existing architecture, validate IaC, or estimate cost (selects
azure_architecture_validator.pyvsazure_cost_estimator.pyvsazure_waf_scorer.py) - Workload spec — the YAML workload config, or the Bicep/ARM/Terraform files (the input the scripts parse)
- Priority pillar — reliability, security, cost, operational excellence, or performance (weights the WAF assessment and which recommendations lead)
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
Show full SKILL.md (204 more words)Show less
Tools
| Tool | Purpose | Command |
|---|---|---|
azure_architecture_validator.py | Validate a Bicep/ARM/YAML workload for anti-patterns and missing best-practice settings | python scripts/azure_architecture_validator.py --bicep ./infra/*.bicep |
azure_cost_estimator.py | Estimate monthly Azure cost from a YAML workload spec | python scripts/azure_cost_estimator.py --workload-config workload.yaml |
azure_waf_scorer.py | Score a workload against the five Well-Architected pillars | python scripts/azure_waf_scorer.py --workload-config workload.yaml |
All scripts: stdlib only, argparse CLI, JSON or markdown output (--format).
References
Load the reference that matches the task — keep this file lean and pull detail on demand:
- references/azure-decision-trees.md — full compute, data store, networking, and identity decision trees with building-block, gateway, and RBAC tables. Read when selecting services or designing topology.
- references/azure-workflows-and-antipatterns.md — the five WAF pillars, cost levers and anti-patterns, the design/review/migrate workflows, Azure-specific anti-patterns, and tooling outputs. Read when running a design or review.
- references/azure-services-reference.md — per-service depth: tiers, SLAs, limits, when to upgrade. Read when choosing a specific SKU or tier.
- references/azure-well-architected.md — 5-pillar WAF assessment with the 10-question checklist per pillar, common findings, and remediations. Read during a WAF review.
- references/azure-cost-optimization.md — full cost lever catalog, anti-patterns, and detection heuristics. Read when optimizing spend.
Related skills
engineering/senior-cloud-architect— generic multi-cloud architecture patternsengineering/aws-solution-architect— AWS counterpartengineering/gcp-cloud-architect— GCP counterpartengineering/kubernetes-operator— for AKS operator-pattern workloadsra-qm-team/information-security-manager-iso27001— for compliance-mapped controls (Azure has built-in Defender / Compliance Manager)ra-qm-team/soc2-compliance-expert— Azure-specific SOC 2 evidence collection
© borghei, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 8 other files (scripts, references) in engineering/azure-cloud-architect of borghei/Claude-Skills.
- SKILL.md
- references/azure-cost-optimization.md
- references/azure-decision-trees.md
- references/azure-services-reference.md
- references/azure-well-architected.md
- references/azure-workflows-and-antipatterns.md
- scripts/azure_architecture_validator.py
- scripts/azure_cost_estimator.py
- scripts/azure_waf_scorer.py
Open the folder on GitHubat commit 4a698e8
Compare with similar skills
Azure Cloud Architect 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 |
|---|---|---|---|---|---|---|
| Azure Cloud Architect this skillborghei/Claude-Skills | 881 | — | ~1.4k | Automated safety check: Pass | MIT | |
| 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 | |
| Azure Architecture Autopilotgithub/awesome-copilot | 40k | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Dangling DNS Finderanirudhbiyani/findmytakeover | 180 | — | ~1.8k | Automated safety check: Pass | GPL-3.0 | |
| Azure Bicep Skilltimothywarner-org/claude-code | 224 | — | ~2.9k | Automated safety check: Pass | MIT |
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Questions about Azure Cloud Architect
What does Azure Cloud Architect do?
Design, review, and validate Azure cloud architectures. An agent skill from borghei/Claude-Skills. Azure Cloud Architect is an agent skill from borghei/Claude-Skills. Design, review, and validate Azure cloud architectures.
When should I use Azure Cloud Architect?
Azure Cloud Architect fits situations like: choosing Azure compute; identity services; applying the Azure Well-Architected Framework to a workload.
How do I install Azure Cloud Architect in Claude Code?
Run `npx skills add borghei/Claude-Skills --skill azure-cloud-architect -a claude-code`. Or copy the skill folder (engineering/azure-cloud-architect in borghei/Claude-Skills) into .claude/skills/azure-cloud-architect in your project. Claude Code loads it when a task matches its description.
How do I install Azure Cloud Architect in Codex?
Run `npx skills add borghei/Claude-Skills --skill azure-cloud-architect -a codex`. Or copy the skill folder (engineering/azure-cloud-architect in borghei/Claude-Skills) into .agents/skills/azure-cloud-architect in your project. Codex loads it when a task matches its description.
Can I use Azure Cloud Architect in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add borghei/Claude-Skills --skill azure-cloud-architect -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/azure-cloud-architect, .gemini/skills/azure-cloud-architect, .github/skills/azure-cloud-architect and .opencode/skills/azure-cloud-architect in your project.
What does Azure Cloud Architect need to run?
Going by SKILL.md and its folder, Azure Cloud Architect needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Azure Cloud Architect access the network?
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.
Is Azure Cloud Architect safe to install?
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Azure Cloud Architect use?
Azure Cloud Architect is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Azure Cloud Architect use?
About 1.4k tokens (SKILL.md is roughly 5.6k 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 15k tokens, read only when the agent opens those files.
What are the alternatives to Azure Cloud Architect?
Skills that share tags, products or a category with Azure Cloud Architect: Cloud Cost Optimization (wshobson/agents, 40k stars), Thesvg (glincker/thesvg, 2.8k stars), Azure Architecture Autopilot (github/awesome-copilot, 40k 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.
Who maintains Azure Cloud Architect?
borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 881 GitHub stars. The repository holds 349 skills in this directory. The repository was last updated on October 7, 2026.
Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.