Update Provider Deps
mondoohq/mql
Upgrade an mql provider's vendored SDKs (all providers or a named subset), audit the new versions for breaking changes and fix call sites while keeping shipped MQL fields backwards-compatible, check…
Expert knowledge for Azure Databricks development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations &…
Install Azure Databricks
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-databricks -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-databricks --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-databricks .claude/skills/azure-databricks && 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-databricks" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-databricks into .claude/skills/azure-databricks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-databricks", 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-databricksType 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-databricks -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-databricks --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-databricks .agents/skills/azure-databricks && 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-databricks" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-databricks into .agents/skills/azure-databricks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-databricks", 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-databricks -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-databricks --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-databricks .cursor/skills/azure-databricks && 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-databricks" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-databricks into .cursor/skills/azure-databricks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-databricks", 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-databricks--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-databricks -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-databricks --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-databricks .gemini/skills/azure-databricks && 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-databricks" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-databricks into .gemini/skills/azure-databricks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-databricks", 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-databricksInstalls 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-databricks -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-databricks .github/skills/azure-databricks && 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-databricks" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-databricks into .github/skills/azure-databricks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-databricks", 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-databricks -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-databricks --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-databricks .opencode/skills/azure-databricks && 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-databricks" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-databricks into .opencode/skills/azure-databricks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-databricks", 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-databricks- GitHub stars
- 775
- Used in
- 1 other repo
- Token cost
- ~14k tokens
- SKILL.md length
- 3,042 words
- Files
- 8
- Skills in repo
- 149
- Repo updated
- First seen
- Licence
- CC-BY-4.0
At a glance
Expert knowledge for Azure Databricks development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations &…
- Working with Unity Catalog
- SKILL.md covers How to Use This Skill and Category Index
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Lakehouse/Lakeflow
What it does
Azure Databricks is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Azure Databricks development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when working with Unity Catalog, Lakehouse/Lakeflow, Lakebase, AI Runtime/model serving, or external connectors, and other Azure Databricks related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure HDInsight (use azure-hdinsight), Azure Machine…
Its SKILL.md is about 14k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files (for example `architecture-patterns.md`, `configuration.md` and `decision-making.md`). Compatibility notes: Requires network access. Uses mcpmicrosoftdocs:microsoftdocsfetch or fetchwebpage to retrieve documentation.
It sits in Development, covering Design patterns, Test data and fixtures and Data warehousing. It works with Microsoft Azure, Databricks 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
- Working with Unity Catalog
- Lakehouse/Lakeflow
- AI Runtime/model serving
- External connectors
Example prompts
- “/azure-databricks”
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 Databricks loads about 14k tokens when it runs. Until then it costs about 155 tokens; SKILL.md has 3,042 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). 3,042 words, ~14,307 tokens.
Download SKILL.mdSave it as
.claude/skills/azure-databricks/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- azure-databricks
- description
- Expert knowledge for Azure Databricks development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when working with Unity Catalog, Lakehouse/Lakeflow, Lakebase, AI Runtime/model serving, or external connectors, and other Azure Databricks related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure HDInsight (use azure-hdinsight), Azure Machine Learning (use azure-machine-learning), Azure Data Factory (use azure-data-factory).
- compatibility
- Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
- metadata.generated_at
- 2026-10-04
- metadata.generator
- docs2skills/1.0.0
Azure Databricks Skill
This skill provides expert guidance for Azure Databricks. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, 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 | Location | Description |
|---|---|---|
| Troubleshooting | L37-L183 | Diagnosing and fixing Databricks issues: Spark and SQL errors, connectors and Lakeflow pipelines, model serving and AI Runtime, CLI/IDE/Git problems, and monitoring/debugging tools. |
| Best Practices | L184-L398 | End-to-end Databricks best practices for cost, governance, security, performance, streaming, AI/ML/RAG, connectors, and Lakehouse design, plus tuning, testing, and operating production workloads. |
| Decision Making | decision-making.md | Guides for architectural and cost decisions in Azure Databricks: choosing compute, runtimes, AI/BI tools, connectors, and migration paths for workspaces, pipelines, models, and Unity Catalog. |
| Architecture & Design Patterns | architecture-patterns.md | Architectural blueprints and patterns for Databricks: DR/HA, networking, storage, Lakehouse/medallion, Lakeflow/CDC, Lakebase, multi-agent/AI pipelines, MLOps, feature stores, and streaming. |
| Limits & Quotas | limits-quotas.md | Limits, quotas, and constraints for Databricks compute, AI/model serving, Lakeflow pipelines, connectors, Unity Catalog, Free Edition, and related resource usage and throttling behavior. |
| Security | security.md | Identity, access control, encryption, networking, compliance, and secret management for Azure Databricks, Unity Catalog, AI/Apps, Lakeflow, Lakebase, and external data/model connections. |
| Configuration | configuration.md | Configuring and governing Azure Databricks: accounts, workspaces, compute, networking, storage, AI/ML, Lakeflow, Unity Catalog, SQL, connectors, CLI, and monitoring/cost/observability settings. |
| Integrations & Coding Patterns | integrations.md | Patterns and examples for integrating Databricks with apps, agents, AI/ML, external databases/BI tools, Lakehouse Federation, Lakeflow, AI Runtime, and SQL/PySpark APIs and UDFs. |
| Deployment | deployment.md | Deploying and managing Azure Databricks workspaces, apps, models, pipelines, and Lakebase using ARM/Bicep/Terraform/Bundles/CI-CD, plus Unity Catalog, AI Runtime, and model serving deployment patterns. |
Troubleshooting
Best Practices
© 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
SKILL.md and 7 other files in skills/azure-databricks of MicrosoftDocs/Agent-Skills.
- SKILL.md
- architecture-patterns.md
- configuration.md
- decision-making.md
- deployment.md
- integrations.md
- limits-quotas.md
- security.md
Open the folder on GitHubat commit ba74e8f
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in MicrosoftDocs/Agent-Skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Azure Databricks 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 Databricks this skillMicrosoftDocs/Agent-Skills | 775 | 1 repos | ~14k | Automated safety check: Pass | CC-BY-4.0 | |
| Update Provider Depsmondoohq/mql | 411 | — | ~4.5k | Automated safety check: Pass | Custom licence | |
| Data Engineerdavila7/claude-code-templates | 32k | 7 repos | ~2.8k | Automated safety check: Pass | MIT | |
| ML AIgrafana/skills | 278 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Azure Architecture Autopilotgithub/awesome-copilot | 40k | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Image Managementdotnet/dotnet-docker | 4.9k | — | ~1.1k | Automated safety check: Pass | MIT |
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Related
Questions about Azure Databricks
What does Azure Databricks do?
Expert knowledge for Azure Databricks development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations &…. Azure Databricks is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Azure Databricks development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment.
When should I use Azure Databricks?
Azure Databricks fits situations like: working with Unity Catalog; lakehouse/Lakeflow; AI Runtime/model serving; external connectors.
How do I install Azure Databricks in Claude Code?
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-databricks -a claude-code`. Or copy the skill folder (skills/azure-databricks in MicrosoftDocs/Agent-Skills) into .claude/skills/azure-databricks in your project. Claude Code loads it when a task matches its description.
How do I install Azure Databricks in Codex?
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-databricks -a codex`. Or copy the skill folder (skills/azure-databricks in MicrosoftDocs/Agent-Skills) into .agents/skills/azure-databricks in your project. Codex loads it when a task matches its description.
Can I use Azure Databricks 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-databricks -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-databricks, .gemini/skills/azure-databricks, .github/skills/azure-databricks and .opencode/skills/azure-databricks in your project.
What does Azure Databricks need to run?
SKILL.md names no scripts, command-line tools or credentials: Azure Databricks 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 Databricks 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 Databricks 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 Databricks use?
Azure Databricks 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 Databricks use?
About 14k tokens (SKILL.md is roughly 57k 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 Databricks?
Skills that share tags, products or a category with Azure Databricks: Update Provider Deps (mondoohq/mql, 411 stars), Data Engineer (davila7/claude-code-templates, 32k stars), ML AI (grafana/skills, 278 stars) and Azure Architecture Autopilot (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Azure Databricks?
MicrosoftDocs (a GitHub organization, an official publisher) maintains it in MicrosoftDocs/Agent-Skills, which has 775 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.