Embedded AI Deployment
matlab/agent-skills-playground
Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder).
Expert knowledge for Azure AI Custom Vision development including best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment.
Install Azure Custom Vision
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-custom-vision -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-custom-vision --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/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/azure-custom-vision .claude/skills/azure-custom-vision && 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-custom-vision" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-custom-vision into .claude/skills/azure-custom-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-custom-vision", 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/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-custom-visionType 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 MicrosoftDocs/Agent-Skills --skill azure-custom-vision -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-custom-vision --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/azure-custom-vision .agents/skills/azure-custom-vision && 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-custom-vision" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-custom-vision into .agents/skills/azure-custom-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-custom-vision", 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 MicrosoftDocs/Agent-Skills --skill azure-custom-vision -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-custom-vision --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/azure-custom-vision .cursor/skills/azure-custom-vision && 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-custom-vision" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-custom-vision into .cursor/skills/azure-custom-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-custom-vision", 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/MicrosoftDocs/Agent-Skills.git --path skills/azure-custom-vision--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 MicrosoftDocs/Agent-Skills --skill azure-custom-vision -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-custom-vision --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/azure-custom-vision .gemini/skills/azure-custom-vision && 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-custom-vision" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-custom-vision into .gemini/skills/azure-custom-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-custom-vision", 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 MicrosoftDocs/Agent-Skills azure-custom-visionInstalls 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 MicrosoftDocs/Agent-Skills --skill azure-custom-vision -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/azure-custom-vision .github/skills/azure-custom-vision && 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-custom-vision" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-custom-vision into .github/skills/azure-custom-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-custom-vision", 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 MicrosoftDocs/Agent-Skills --skill azure-custom-vision -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-custom-vision --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/azure-custom-vision .opencode/skills/azure-custom-vision && 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-custom-vision" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-custom-vision into .opencode/skills/azure-custom-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-custom-vision", 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-custom-vision- GitHub stars
- 777
- Token cost
- ~1.6k tokens
- SKILL.md length
- 474 words
- Files
- 1
- Skills in repo
- 149
- Repo updated
- First seen
- Licence
- CC-BY-4.0
At a glance
Expert knowledge for Azure AI Custom Vision development including best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment.
- Exporting Custom Vision models
- SKILL.md covers How to Use This Skill and Category Index
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Calling prediction APIs
What it does
Azure Custom Vision is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Azure AI Custom Vision development including best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment. Use when exporting Custom Vision models, calling prediction APIs, using ONNX/TensorFlow, managing CMK/RBAC, or Smart Labeler, and other Azure AI Custom Vision related development tasks. Not for Azure AI Vision (use azure-ai-vision), Azure AI services (use microsoft-foundry-tools), Azure Machine Learning (use azure-machine-learning), Azure AI…
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires network access. Uses mcpmicrosoftdocs:microsoftdocsfetch or fetchwebpage to retrieve documentation.
It sits in Backend & APIs, covering Authorization and RBAC, Computer vision and Deep learning. It works with Microsoft Azure, Azure AI Foundry, Azure AI Vision and Azure Machine Learning. The repository describes itself as: Curated Agent Skills for Microsoft & Azure – giving AI coding assistants structured, real-time expertise from Microsoft Learn docs. The licence is CC-BY-4.0.
When your agent uses it
- Exporting Custom Vision models
- Calling prediction APIs
- Using ONNX/TensorFlow
- Managing CMK/RBAC
Example prompts
- “/azure-custom-vision”
Requirements
- Python 3
- Compatibility (from SKILL.md): Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
What it can do on your machine
Read from SKILL.md and the folder at commit ba74e8f. 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):
learn.microsoft.comgithub.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.
Compatibility
Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
From compatibility in the SKILL.md frontmatter.
Context cost
Azure Custom Vision loads about 1.6k tokens when it runs. Until then it costs about 146 tokens; SKILL.md has 474 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 MicrosoftDocs/Agent-Skills at commit ba74e8f, republished under its CC-BY-4.0 licence (© MicrosoftDocs). 474 words, ~1,576 tokens.
Download SKILL.mdSave it as
.claude/skills/azure-custom-vision/SKILL.md (or your agent's skills folder).- name
- azure-custom-vision
- description
- Expert knowledge for Azure AI Custom Vision development including best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment. Use when exporting Custom Vision models, calling prediction APIs, using ONNX/TensorFlow, managing CMK/RBAC, or Smart Labeler, and other Azure AI Custom Vision related development tasks. Not for Azure AI Vision (use azure-ai-vision), Azure AI services (use microsoft-foundry-tools), Azure Machine Learning (use azure-machine-learning), Azure AI Foundry Local (use microsoft-foundry-local).
- compatibility
- Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
- metadata.generated_at
- 2026-06-21
- metadata.generator
- docs2skills/1.0.0
Azure AI Custom Vision Skill
This skill provides expert guidance for Azure AI Custom Vision. Covers best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.
How to Use This Skill
IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g.,
L35-L120), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
- Preferred: Use
mcp_microsoftdocs:microsoft_docs_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Lines | Description |
|---|---|---|
| Best Practices | L34-L39 | Improving Custom Vision model quality with better data collection/labeling strategies and using Smart Labeler to speed and automate image annotation |
| Decision Making | L40-L45 | Guidance on selecting the best Custom Vision domain for your scenario and planning migrations from Custom Vision to other Azure or third‑party vision services. |
| Limits & Quotas | L46-L50 | Details on Custom Vision usage limits per pricing tier, including training/prediction quotas, project and image caps, and how limits affect model training and deployment. |
| Security | L51-L57 | Managing Custom Vision security: encryption with customer-managed keys, secure data handling/export/deletion, and configuring Azure RBAC roles and permissions. |
| Integrations & Coding Patterns | L58-L68 | Using Custom Vision models and APIs in apps: exporting via SDK, running ONNX/TensorFlow in Windows ML/Python, calling classification/detection APIs, and integrating with Azure Storage. |
| Deployment | L69-L73 | Deploying Custom Vision models: copying/backing up projects across regions and exporting models for offline, edge, and mobile (TensorFlow, ONNX, iOS/Android) use. |
Show full SKILL.md (178 more words)Show less
Best Practices
| Topic | URL |
|---|---|
| Apply Custom Vision data strategies to improve models | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/getting-started-improving-your-classifier |
| Speed up Custom Vision labeling with Smart Labeler | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/suggested-tags |
Decision Making
| Topic | URL |
|---|---|
| Plan migration from Custom Vision to alternative services | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/migration-options |
| Choose the right Custom Vision domain for your project | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/select-domain |
Limits & Quotas
| Topic | URL |
|---|---|
| Review Custom Vision limits and quotas by tier | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/limits-and-quotas |
Security
| Topic | URL |
|---|---|
| Configure customer-managed keys for Custom Vision encryption | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/encrypt-data-at-rest |
| View, export, and delete Custom Vision data securely | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/export-delete-data |
| Configure Azure RBAC roles for Custom Vision projects | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/role-based-access-control |
Integrations & Coding Patterns
Deployment
| Topic | URL |
|---|---|
| Copy and back up Custom Vision projects across regions | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/copy-move-projects |
| Export Custom Vision models for offline and mobile use | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/export-your-model |
© MicrosoftDocs, CC-BY-4.0. 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/azure-custom-vision of MicrosoftDocs/Agent-Skills.
Open the folder on GitHubat commit ba74e8f
Compare with similar skills
Azure Custom Vision 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 Custom Vision this skillMicrosoftDocs/Agent-Skills | 777 | — | ~1.6k | Automated safety check: Pass | CC-BY-4.0 | |
| Embedded AI Deploymentmatlab/agent-skills-playground | 181 | 1 repos | ~3.4k | Automated safety check: Pass | Custom licence | |
| Microsoft Foundrymicrosoft/GitHub-Copilot-for-Azure | 255 | 1 repos | ~6.7k | Automated safety check: Pass | MIT | |
| Azure Validatemicrosoft/GitHub-Copilot-for-Azure | 255 | 1 repos | ~880 | Automated safety check: Pass | MIT | |
| Tensorflow Savedmodel Creatorjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~593 | Automated safety check: Pass | MIT | |
| Tensorflow Serving Setupjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~578 | Automated safety check: Pass | MIT |
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Related
Questions about Azure Custom Vision
What does Azure Custom Vision do?
Expert knowledge for Azure AI Custom Vision development including best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment. Azure Custom Vision is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Azure AI Custom Vision development including best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment.
When should I use Azure Custom Vision?
Azure Custom Vision fits situations like: exporting Custom Vision models; calling prediction APIs; using ONNX/TensorFlow; managing CMK/RBAC.
How do I install Azure Custom Vision in Claude Code?
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-custom-vision -a claude-code`. Or copy the skill folder (skills/azure-custom-vision in MicrosoftDocs/Agent-Skills) into .claude/skills/azure-custom-vision in your project. Claude Code loads it when a task matches its description.
How do I install Azure Custom Vision in Codex?
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-custom-vision -a codex`. Or copy the skill folder (skills/azure-custom-vision in MicrosoftDocs/Agent-Skills) into .agents/skills/azure-custom-vision in your project. Codex loads it when a task matches its description.
Can I use Azure Custom Vision 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 MicrosoftDocs/Agent-Skills --skill azure-custom-vision -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-custom-vision, .gemini/skills/azure-custom-vision, .github/skills/azure-custom-vision and .opencode/skills/azure-custom-vision in your project.
What does Azure Custom Vision need to run?
SKILL.md names no scripts, command-line tools or credentials: Azure Custom Vision is instructions for the agent only. Our summary lists: Python 3. Compatibility (from SKILL.md): Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation..
Does Azure Custom Vision access the network?
SKILL.md names 2 domains. As links in the text: learn.microsoft.com and github.com. This is read from the text; nothing was executed.
Is Azure Custom Vision 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 Custom Vision use?
Azure Custom Vision is published under the CC-BY-4.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Azure Custom Vision use?
About 1.6k tokens (SKILL.md is roughly 6.3k 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 Custom Vision?
Skills that share tags, products or a category with Azure Custom Vision: Embedded AI Deployment (matlab/agent-skills-playground, 181 stars), Microsoft Foundry (microsoft/GitHub-Copilot-for-Azure, 255 stars), Azure Validate (microsoft/GitHub-Copilot-for-Azure, 255 stars) and Tensorflow Savedmodel Creator (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Azure Custom Vision?
MicrosoftDocs (a GitHub organization, an official publisher) maintains it in MicrosoftDocs/Agent-Skills, which has 777 GitHub stars. The repository holds 149 skills in this directory. The repository was last updated on October 5, 2026.
Source: MicrosoftDocs/Agent-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.