Environment Deployment
microsoft/physical-ai-toolchain
Generate, transfer, and consume environment-specific Azure, AKS, OSMO, ACR, and Azure ML deployment bundles.
Deploy azure ml deployer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Install Azure ML Deployer
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill azure-ml-deployer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace azure-ml-deployer --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/08-ml-deployment/azure-ml-deployer .claude/skills/azure-ml-deployer && 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-ml-deployer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/azure-ml-deployer into .claude/skills/azure-ml-deployer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-ml-deployer", 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/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/azure-ml-deployerType 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 jeremylongshore/tons-of-skills-marketplace --skill azure-ml-deployer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace azure-ml-deployer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/08-ml-deployment/azure-ml-deployer .agents/skills/azure-ml-deployer && 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-ml-deployer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/azure-ml-deployer into .agents/skills/azure-ml-deployer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-ml-deployer", 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 jeremylongshore/tons-of-skills-marketplace --skill azure-ml-deployer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace azure-ml-deployer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/08-ml-deployment/azure-ml-deployer .cursor/skills/azure-ml-deployer && 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-ml-deployer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/azure-ml-deployer into .cursor/skills/azure-ml-deployer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-ml-deployer", 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/jeremylongshore/tons-of-skills-marketplace.git --path skills/08-ml-deployment/azure-ml-deployer--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 jeremylongshore/tons-of-skills-marketplace --skill azure-ml-deployer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace azure-ml-deployer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/08-ml-deployment/azure-ml-deployer .gemini/skills/azure-ml-deployer && 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-ml-deployer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/azure-ml-deployer into .gemini/skills/azure-ml-deployer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-ml-deployer", 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 jeremylongshore/tons-of-skills-marketplace azure-ml-deployerInstalls 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 jeremylongshore/tons-of-skills-marketplace --skill azure-ml-deployer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/08-ml-deployment/azure-ml-deployer .github/skills/azure-ml-deployer && 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-ml-deployer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/azure-ml-deployer into .github/skills/azure-ml-deployer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-ml-deployer", 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 jeremylongshore/tons-of-skills-marketplace --skill azure-ml-deployer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace azure-ml-deployer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/08-ml-deployment/azure-ml-deployer .opencode/skills/azure-ml-deployer && 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-ml-deployer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/08-ml-deployment/azure-ml-deployer into .opencode/skills/azure-ml-deployer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-ml-deployer", 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-ml-deployer- GitHub stars
- 2.8k
- Token cost
- ~555 tokens
- SKILL.md length
- 196 words
- Files
- 1
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Deploy azure ml deployer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
- Works in 4 steps: Provides step-by-step guidance for azure… → Follows industry best practices and… → Generates production-ready code and… → …
- : azure ml deployer
- SKILL.md covers Overview, When to Use, Instructions and Examples, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Azure ML Deployer is an agent skill from jeremylongshore/tons-of-skills-marketplace. Deploy azure ml deployer operations. Auto-activating skill for ML Deployment. Triggers on: azure ml deployer, azure ml deployer Part of the ML Deployment skill category. Use when deploying applications or services. Trigger with phrases like "azure ml deployer", "azure deployer", "deploy azure ml er".
Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code
It sits in DevOps & Cloud, covering Deployment. It works with Azure Machine Learning and Microsoft Azure. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- : azure ml deployer
- Azure ml deployer Part of the ML Deployment skill category
- Deploying applications
- With phrases like azure ml deployer
Example prompts
- “azure ml deployer”
- “azure deployer”
- “deploy azure ml er”
- “/azure-ml-deployer”
Requirements
- Compatibility (from SKILL.md): Designed for Claude Code
- Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(cmd:*), Grep
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Provides step-by-step guidance for azure ml deployer
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBash(cmd:*)Grep
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
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.
Compatibility
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Context cost
Azure ML Deployer loads about 555 tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 196 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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 196 words, ~555 tokens.
Download SKILL.mdSave it as
.claude/skills/azure-ml-deployer/SKILL.md (or your agent's skills folder).- name
- azure-ml-deployer
- description
- Deploy azure ml deployer operations. Auto-activating skill for ML Deployment. Triggers on: azure ml deployer, azure ml deployer Part of the ML Deployment skill category. Use when deploying applications or services. Trigger with phrases like "azure ml deployer", "azure deployer", "deploy azure ml er".
- allowed-tools
- Read, Write, Edit, Bash(cmd:*), Grep
- compatibility
- Designed for Claude Code
- version
- 1.0.0
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- ai, mlops
Azure Ml Deployer
Overview
This skill provides automated assistance for azure ml deployer tasks within the ML Deployment domain.
When to Use
This skill activates automatically when you:
- Mention "azure ml deployer" in your request
- Ask about azure ml deployer patterns or best practices
- Need help with machine learning deployment skills covering model serving, mlops pipelines, monitoring, and production optimization.
Instructions
- Provides step-by-step guidance for azure ml deployer
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
Examples
Example: Basic Usage Request: "Help me with azure ml deployer" Result: Provides step-by-step guidance and generates appropriate configurations
Prerequisites
- Relevant development environment configured
- Access to necessary tools and services
- Basic understanding of ml deployment concepts
Output
- Generated configurations and code
- Best practice recommendations
- Validation results
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |
Resources
- Official documentation for related tools
- Best practices guides
- Community examples and tutorials
Related Skills
Part of the ML Deployment skill category. Tags: mlops, serving, inference, monitoring, production
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/08-ml-deployment/azure-ml-deployer of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Compare with similar skills
Azure ML Deployer 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 ML Deployer this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~555 | Automated safety check: Pass | MIT | |
| Environment Deploymentmicrosoft/physical-ai-toolchain | 126 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Azure Anomaly DetectorMicrosoftDocs/Agent-Skills | 776 | — | ~1.1k | Automated safety check: Pass | CC-BY-4.0 | |
| Azure Anyscale On AzureMicrosoftDocs/Agent-Skills | 776 | — | ~953 | Automated safety check: Pass | CC-BY-4.0 | |
| Azure Business Process TrackingMicrosoftDocs/Agent-Skills | 776 | — | ~592 | Automated safety check: Pass | CC-BY-4.0 | |
| Azure Data Science VmMicrosoftDocs/Agent-Skills | 776 | — | ~1.8k | Automated safety check: Pass | CC-BY-4.0 |
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Related
Works with
Categories
Questions about Azure ML Deployer
What does Azure ML Deployer do?
Deploy azure ml deployer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. Azure ML Deployer is an agent skill from jeremylongshore/tons-of-skills-marketplace. Deploy azure ml deployer operations.
When should I use Azure ML Deployer?
Azure ML Deployer fits situations like: : azure ml deployer; azure ml deployer Part of the ML Deployment skill category; deploying applications; with phrases like azure ml deployer.
How do I install Azure ML Deployer in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill azure-ml-deployer -a claude-code`. Or copy the skill folder (skills/08-ml-deployment/azure-ml-deployer in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/azure-ml-deployer in your project. Claude Code loads it when a task matches its description.
How do I install Azure ML Deployer in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill azure-ml-deployer -a codex`. Or copy the skill folder (skills/08-ml-deployment/azure-ml-deployer in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/azure-ml-deployer in your project. Codex loads it when a task matches its description.
Can I use Azure ML Deployer 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 jeremylongshore/tons-of-skills-marketplace --skill azure-ml-deployer -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-ml-deployer, .gemini/skills/azure-ml-deployer, .github/skills/azure-ml-deployer and .opencode/skills/azure-ml-deployer in your project.
What does Azure ML Deployer need to run?
SKILL.md names no scripts, command-line tools or credentials: Azure ML Deployer is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(cmd:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.
Does Azure ML Deployer 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 ML Deployer 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 Azure ML Deployer use?
Azure ML Deployer 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 ML Deployer use?
About 555 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Azure ML Deployer?
Skills that share tags, products or a category with Azure ML Deployer: Environment Deployment (microsoft/physical-ai-toolchain, 126 stars), Azure Anomaly Detector (MicrosoftDocs/Agent-Skills, 776 stars), Azure Anyscale On Azure (MicrosoftDocs/Agent-Skills, 776 stars) and Azure Business Process Tracking (MicrosoftDocs/Agent-Skills, 776 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Azure ML Deployer?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.