Azure Machine Learning — generated documentation index
💳 Paid cloud required — expert index for Azure Machine Learning: troubleshooting (endpoints, pipelines, authentication, networking), best practices (MLOps, responsible AI, AutoML, data quality), limits & quotas, configuration (workspaces, compute, networking) — plus live doc fetching
- What
- 💳 Paid cloud required — expert index for Azure Machine Learning: troubleshooting (endpoints, pipelines, authentication, networking), best practices (MLOps, responsible AI, AutoML, data quality), limits & quotas, configuration (workspaces, compute, networking) — plus live doc fetching
- Cost
- Free
- Needs
- an Azure subscription with billed Azure Machine Learning usage (compute, endpoints — no usable free tier); network access; the mcp_microsoftdocs MCP tool preferred (see the MicrosoftDocs/mcp installation guide), or a fetch_webpage fallback — the skill fetches live learn.microsoft.com documentation
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
Curated by Skill Harbor — @microsoftdocs' azure-machine-learning skill, listed here with credit to its creator: a machine-generated expert index (docs2skills/1.0.0, generated 2026-09-13) for Azure Machine Learning development. It organizes the official documentation into a category index — troubleshooting (endpoint deployment failures, pipeline errors, authentication issues, networking problems), best practices (MLOps practices, responsible AI, AutoML guidance, data quality), limits & quotas (compute, endpoints, workspaces), and configuration (workspaces, compute targets, networking, security) — each topic linked to its learn.microsoft.com page, with live documentation fetching on top. Honest caveats: 💳 Paid cloud required — Azure ML bills for compute and endpoints with no usable free tier; the skill is an index, not the content — it requires network access plus the mcp_microsoftdocs tool (or a fetch_webpage fallback); the skill itself instructs the agent to re-pull the latest version if its generated_at date is more than 3 months old; the Microsoft Foundry rename (November 2025) means some service names will drift. CC-BY-4.0 licensed. Skill Harbor never reviews the code, review it yourself before use. Discovered via skills.sh.
Version:
Install
Prerequisites: an Azure subscription with billed Azure Machine Learning usage (compute, endpoints — no usable free tier); network access; the mcp_microsoftdocs MCP tool preferred (see the MicrosoftDocs/mcp installation guide), or a fetch_webpage fallback — the skill fetches live learn.microsoft.com documentation Install "Azure Machine Learning — generated documentation index" for me. It gives my agent @microsoftdocs' expert index for Azure Machine Learning: a category index (troubleshooting for endpoints, pipelines, authentication, networking; best practices for MLOps, responsible AI, AutoML, data quality; limits & quotas; configuration for workspaces, compute, networking) with links to the official docs, plus live documentation fetching via mcp_microsoftdocs or fetch_webpage. CC-BY-4.0 licensed. Repository: https://github.com/microsoftdocs/agent-skills/blob/main/skills/azure-machine-learning/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls beyond learn.microsoft.com doc fetching, shell commands, credential harvesting). This repo should contain zero secrets in code. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "azure-machine-learning". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. confirm mcp_microsoftdocs is installed or the fetch_webpage fallback works; check the generated_at date — refresh from the repo if older than 3 months; set up my Azure ML workspace and watch compute costs). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.
What does the ✓ next to a creator’s name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.