Terravision Cloud Diagrams
patrickchugh/terravision
Draw cloud architecture diagrams for AWS, Azure or GCP with the official provider icon sets, using TerraVision.
ANALYSIS SKILL — Recommend Azure VM sizes and VMSS for workload, performance, and budget.
Install Apex Azure Compute
$ npx skills add jonathan-vella/apex --skill apex-azure-compute -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jonathan-vella/apex apex-azure-compute --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/jonathan-vella/apex.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/apex-azure-compute .claude/skills/apex-azure-compute && 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 "apex-azure-compute" agent skill from https://github.com/jonathan-vella/apex/tree/main/.github/skills/apex-azure-compute into .claude/skills/apex-azure-compute/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apex-azure-compute", 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/jonathan-vella/apex/tree/main/.github/skills/apex-azure-computeType 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 jonathan-vella/apex --skill apex-azure-compute -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jonathan-vella/apex apex-azure-compute --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jonathan-vella/apex.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/skills/apex-azure-compute .agents/skills/apex-azure-compute && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "apex-azure-compute" agent skill from https://github.com/jonathan-vella/apex/tree/main/.github/skills/apex-azure-compute into .agents/skills/apex-azure-compute/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apex-azure-compute", 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 jonathan-vella/apex --skill apex-azure-compute -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jonathan-vella/apex apex-azure-compute --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jonathan-vella/apex.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/skills/apex-azure-compute .cursor/skills/apex-azure-compute && 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 "apex-azure-compute" agent skill from https://github.com/jonathan-vella/apex/tree/main/.github/skills/apex-azure-compute into .cursor/skills/apex-azure-compute/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apex-azure-compute", 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/jonathan-vella/apex.git --path .github/skills/apex-azure-compute--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 jonathan-vella/apex --skill apex-azure-compute -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jonathan-vella/apex apex-azure-compute --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jonathan-vella/apex.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/skills/apex-azure-compute .gemini/skills/apex-azure-compute && 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 "apex-azure-compute" agent skill from https://github.com/jonathan-vella/apex/tree/main/.github/skills/apex-azure-compute into .gemini/skills/apex-azure-compute/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apex-azure-compute", 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 jonathan-vella/apex apex-azure-computeInstalls 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 jonathan-vella/apex --skill apex-azure-compute -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jonathan-vella/apex.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/skills/apex-azure-compute .github/skills/apex-azure-compute && 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 "apex-azure-compute" agent skill from https://github.com/jonathan-vella/apex/tree/main/.github/skills/apex-azure-compute into .github/skills/apex-azure-compute/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apex-azure-compute", 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 jonathan-vella/apex --skill apex-azure-compute -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jonathan-vella/apex apex-azure-compute --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jonathan-vella/apex.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/skills/apex-azure-compute .opencode/skills/apex-azure-compute && 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 "apex-azure-compute" agent skill from https://github.com/jonathan-vella/apex/tree/main/.github/skills/apex-azure-compute into .opencode/skills/apex-azure-compute/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apex-azure-compute", 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
apex-azure-compute- GitHub stars
- 217
- Token cost
- ~1.4k tokens
- SKILL.md length
- 551 words
- Files
- 5 (incl. references)
- Skills in repo
- 39
- Repo updated
- First seen
- Licence
- MIT
At a glance
ANALYSIS SKILL — Recommend Azure VM sizes and VMSS for workload, performance, and budget.
- Works in 6 steps: Gather requirements — workload type,… → Determine VM vs VMSS — VMSS for… → Select VM family — pick 2–3 candidates… → …
- : provisioning VMs (apex-azure-prepare)
- SKILL.md covers When to Use This Skill, Rules, Steps and Error Handling, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Apex Azure Compute is an agent skill from jonathan-vella/apex. ANALYSIS SKILL — Recommend Azure VM sizes and VMSS for workload, performance, and budget. Uses public docs and the Azure Retail Prices API. WHEN: "recommend VM size", "choose Azure VM", "GPU VM", "compare VM sizes", "VMSS vs VM", "autoscale VMs". DO NOT USE FOR: provisioning VMs (apex-azure-prepare), VM pricing for budgets (ARM MCP).
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/recommendation-workflow.md`, `references/retail-prices-api.md` and `references/vm-families.md`).
It sits in DevOps & Cloud. It works with Microsoft Azure and Model Context Protocol. The repository describes itself as: APEX turns Azure platform engineering requirements into verified, deploy-ready IaC — powered by GitHub Copilot agents, real-time pricing, and built-in compliance. The licence is MIT.
When your agent uses it
- : provisioning VMs (apex-azure-prepare)
- VM pricing for budgets (ARM MCP)
Example prompts
- “recommend VM size”
- “choose Azure VM”
- “GPU VM”
- “/apex-azure-compute”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Gather requirements — workload type, vCPU/RAM, GPU, storage, budget, OS, region, instance count, scaling, HA, load balancing
- Determine VM vs VMSS — VMSS for autoscale / fleet / mixed sizes (Flexible orchestration); VM for single long-lived servers, jumpboxes, AD…
- Select VM family — pick 2–3 candidates from vm-families.md, then verify specs via web_fetch against learn.microsoft.com
- Look up pricing — Azure Retail Prices API per retail-prices-api.md; for VMSS multiply by instance count
- Present 2–3 recommendations — include hosting model, VM size, vCPU/RAM, instance count, $/hr, fit, trade-off
- Offer next steps — reservation pricing, Azure Pricing Calculator, VMSS autoscale + networking docs
What it can do on your machine
Read from SKILL.md and the folder at commit b8e5908. 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
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.
Network
Links to these hosts (documentation or services it may open):
azure.microsoft.com
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
Apex Azure Compute loads about 1.4k tokens when it runs, and up to ~8k if it reads all its reference files. Until then it costs about 90 tokens; SKILL.md has 551 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from jonathan-vella/apex at commit b8e5908, republished under its MIT licence (© jonathan-vella). 551 words, ~1,442 tokens.
Download SKILL.mdSave it as
.claude/skills/apex-azure-compute/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- apex-azure-compute
- description
- **ANALYSIS SKILL** — Recommend Azure VM sizes and VMSS for workload, performance, and budget. Uses public docs and the Azure Retail Prices API. WHEN: "recommend VM size", "choose Azure VM", "GPU VM", "compare VM sizes", "VMSS vs VM", "autoscale VMs". DO NOT USE FOR: provisioning VMs (apex-azure-prepare), VM pricing for budgets (ARM MCP).
- user-invocable
- true
- disable-model-invocation
- false
- argument-hint
- workload requirements, region and budget
- license
- MIT
- metadata.author
- Microsoft
- metadata.version
- 1.0.2
Azure Compute Skill
Recommend Azure VM sizes, VM Scale Sets (VMSS), and configurations by analyzing workload type, performance requirements, scaling needs, and budget. No Azure subscription required — all data comes from public Microsoft documentation and the unauthenticated Retail Prices API.
When to Use This Skill
- User asks which Azure VM or VMSS to choose for a workload
- User needs VM size recommendations for web, database, ML, batch, HPC, or other workloads
- User wants to compare VM families, sizes, or pricing tiers
- User asks about trade-offs between VM options (cost vs performance)
- User needs a cost estimate for Azure VMs without an Azure account
- User asks whether to use a single VM or a scale set
- User needs autoscaling, high availability, or load-balanced VM recommendations
- User asks about VMSS orchestration modes (Flexible vs Uniform)
Rules
- Always verify against live docs — call
web_fetchagainstlearn.microsoft.combefore finalizing recommendations; warn the user whenweb_fetchfails.web_fetchmeans any available page-fetch tool; prefermcp_azure-mcp_documentation(microsoft_docs_fetch) for Learn pages - Availability and quota — before recommending a size for a deployment, confirm SKU availability and quota headroom with
apex-azure-quotas(SKU availability); neither guarantees allocation capacity - Default to General Purpose D-series when workload type is unclear
- Default region follows the canonical declaration in copilot-instructions.md; prices vary by region
- Default to single VM when scaling needs are unclear; recommend VMSS only when autoscale, fleet, or mixed-size requirements are explicit
- VMSS pricing = VM pricing × instance count (no extra VMSS charge)
- Reservation pricing is recommended for long-lived production VMs (1y/3y commitments)
- No deployment — this skill recommends sizes; for provisioning use
apex-azure-prepare
Show full SKILL.md (291 more words)Show less
Steps
The full 6-step procedure (with all decision tables, dichotomy tree, and web_fetch URLs) lives in references/recommendation-workflow.md. Load it on demand. Summary:
- Gather requirements — workload type, vCPU/RAM, GPU, storage, budget, OS, region, instance count, scaling, HA, load balancing
- Determine VM vs VMSS — VMSS for autoscale / fleet / mixed sizes (Flexible orchestration); VM for single long-lived servers, jumpboxes, AD DCs. Default to single VM when unsure
- Select VM family — pick 2–3 candidates from vm-families.md, then verify specs via
web_fetchagainstlearn.microsoft.com - Look up pricing — Azure Retail Prices API per retail-prices-api.md; for VMSS multiply by instance count
- Present 2–3 recommendations — include hosting model, VM size, vCPU/RAM, instance count, $/hr, fit, trade-off
- Offer next steps — reservation pricing, Azure Pricing Calculator, VMSS autoscale + networking docs
Critical: always verify recommendations against live
learn.microsoft.comdocs viaweb_fetch. Ifweb_fetchfails, proceed with reference-file guidance and warn the user data may be stale.
Error Handling
| Scenario | Action |
|---|---|
| API returns empty results | Broaden filters — check armRegionName, serviceName, armSkuName spelling |
| User unsure of workload type | Ask clarifying questions; default to General Purpose D-series |
| Region not specified | Use the canonical default from copilot-instructions.md; prices vary by region |
| Unclear if VM or VMSS needed | Ask about scaling and instance count; default to single VM if unsure |
| User asks VMSS pricing directly | Use same VM pricing API — VMSS has no extra charge; multiply by instance count |
Reference Index
Load only the reference needed for the current decision; these links are the source catalog, not a requirement to load every file.
- Recommendation Workflow — Full 6-step procedure with decision tables and
web_fetchURLs - VM Family Guide — Family-to-workload mapping and selection
- Retail Prices API Guide — Query patterns, filters, and examples
- VMSS Guide — When to use VMSS, orchestration modes, and autoscale patterns
© jonathan-vella, 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 4 other files (references) in .github/skills/apex-azure-compute of jonathan-vella/apex.
- SKILL.md
- references/recommendation-workflow.md
- references/retail-prices-api.md
- references/vm-families.md
- references/vmss-guide.md
Open the folder on GitHubat commit b8e5908
Compare with similar skills
Apex Azure Compute 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 |
|---|---|---|---|---|---|---|
| Apex Azure Compute this skilljonathan-vella/apex | 217 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Terravision Cloud Diagramspatrickchugh/terravision | 1.6k | — | ~5.6k | Automated safety check: Notes | AGPL-3.0-only | |
| Spotinfoalexei-led/spotinfo | 164 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Install Boltmcpboltmcp/boltmcp | 371 | — | ~2.3k | Automated safety check: Pass | None | |
| Azsdk Common Live And Recorded TestsAzure/azure-sdk-tools | 134 | — | ~1.5k | Automated safety check: Notes | MIT | |
| Azure Kubernetes Automatic Readinessmicrosoft/GitHub-Copilot-for-Azure | 255 | 1 repos | ~4.4k | Automated safety check: Pass | MIT |
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Questions about Apex Azure Compute
What does Apex Azure Compute do?
ANALYSIS SKILL — Recommend Azure VM sizes and VMSS for workload, performance, and budget. Apex Azure Compute is an agent skill from jonathan-vella/apex. ANALYSIS SKILL — Recommend Azure VM sizes and VMSS for workload, performance, and budget.
When should I use Apex Azure Compute?
Apex Azure Compute fits situations like: : provisioning VMs (apex-azure-prepare); VM pricing for budgets (ARM MCP).
How do I install Apex Azure Compute in Claude Code?
Run `npx skills add jonathan-vella/apex --skill apex-azure-compute -a claude-code`. Or copy the skill folder (.github/skills/apex-azure-compute in jonathan-vella/apex) into .claude/skills/apex-azure-compute in your project. Claude Code loads it when a task matches its description.
How do I install Apex Azure Compute in Codex?
Run `npx skills add jonathan-vella/apex --skill apex-azure-compute -a codex`. Or copy the skill folder (.github/skills/apex-azure-compute in jonathan-vella/apex) into .agents/skills/apex-azure-compute in your project. Codex loads it when a task matches its description.
Can I use Apex Azure Compute 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 jonathan-vella/apex --skill apex-azure-compute -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/apex-azure-compute, .gemini/skills/apex-azure-compute, .github/skills/apex-azure-compute and .opencode/skills/apex-azure-compute in your project.
What does Apex Azure Compute need to run?
SKILL.md names no scripts, command-line tools or credentials: Apex Azure Compute is instructions for the agent only.
Does Apex Azure Compute access the network?
SKILL.md names 1 domain. As links in the text: azure.microsoft.com. This is read from the text; nothing was executed.
Is Apex Azure Compute 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. Review the folder before installing.
What licence does Apex Azure Compute use?
Apex Azure Compute 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 Apex Azure Compute use?
About 1.4k tokens (SKILL.md is roughly 5.8k 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 6.5k tokens, read only when the agent opens those files.
What are the alternatives to Apex Azure Compute?
Skills that share tags, products or a category with Apex Azure Compute: Terravision Cloud Diagrams (patrickchugh/terravision, 1.6k stars), Spotinfo (alexei-led/spotinfo, 164 stars), Install Boltmcp (boltmcp/boltmcp, 371 stars) and Azsdk Common Live And Recorded Tests (Azure/azure-sdk-tools, 134 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Apex Azure Compute?
jonathan-vella (a GitHub user) maintains it in jonathan-vella/apex, which has 217 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 10, 2026.
Source: jonathan-vella/apex on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.