Azure Storage
microsoft/GitHub-Copilot-for-Azure
Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake.
Expert knowledge for Azure Table Storage development including best practices, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns.
Install Azure Table Storage
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-table-storage -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-table-storage --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-table-storage .claude/skills/azure-table-storage && 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-table-storage" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-table-storage into .claude/skills/azure-table-storage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-table-storage", 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-table-storageType 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-table-storage -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-table-storage --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-table-storage .agents/skills/azure-table-storage && 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-table-storage" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-table-storage into .agents/skills/azure-table-storage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-table-storage", 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-table-storage -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-table-storage --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-table-storage .cursor/skills/azure-table-storage && 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-table-storage" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-table-storage into .cursor/skills/azure-table-storage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-table-storage", 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-table-storage--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-table-storage -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-table-storage --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-table-storage .gemini/skills/azure-table-storage && 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-table-storage" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-table-storage into .gemini/skills/azure-table-storage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-table-storage", 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-table-storageInstalls 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-table-storage -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-table-storage .github/skills/azure-table-storage && 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-table-storage" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-table-storage into .github/skills/azure-table-storage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-table-storage", 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-table-storage -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-table-storage --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-table-storage .opencode/skills/azure-table-storage && 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-table-storage" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-table-storage into .opencode/skills/azure-table-storage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-table-storage", 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-table-storage- GitHub stars
- 775
- Token cost
- ~1.4k tokens
- SKILL.md length
- 425 words
- Files
- 1
- Skills in repo
- 149
- Repo updated
- First seen
- Licence
- CC-BY-4.0
At a glance
Expert knowledge for Azure Table Storage development including best practices, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns.
- Securing Table Storage
- SKILL.md covers How to Use This Skill and Category Index
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tuning telemetry
What it does
Azure Table Storage is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Azure Table Storage development including best practices, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when securing Table Storage, tuning telemetry, planning scale limits, designing keys, or scripting with PowerShell, and other Azure Table Storage related development tasks. Not for Azure Cosmos DB (use azure-cosmos-db), Azure Blob Storage (use azure-blob-storage), Azure Queue Storage (use azure-queue-storage).
Its SKILL.md is about 1.4k 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 Development, covering Design patterns. It works with Microsoft Azure, Azure Blob Storage, Azure Cosmos DB and PowerShell. 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
- Securing Table Storage
- Tuning telemetry
- Planning scale limits
- Scripting with PowerShell
Example prompts
- “/azure-table-storage”
Requirements
- 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 Table Storage loads about 1.4k tokens when it runs. Until then it costs about 131 tokens; SKILL.md has 425 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). 425 words, ~1,390 tokens.
Download SKILL.mdSave it as
.claude/skills/azure-table-storage/SKILL.md (or your agent's skills folder).- name
- azure-table-storage
- description
- Expert knowledge for Azure Table Storage development including best practices, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when securing Table Storage, tuning telemetry, planning scale limits, designing keys, or scripting with PowerShell, and other Azure Table Storage related development tasks. Not for Azure Cosmos DB (use azure-cosmos-db), Azure Blob Storage (use azure-blob-storage), Azure Queue Storage (use azure-queue-storage).
- compatibility
- Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
- metadata.generated_at
- 2026-08-31
- metadata.generator
- docs2skills/1.0.0
Azure Table Storage Skill
This skill provides expert guidance for Azure Table Storage. Covers best practices, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. 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-L38 | Guidance on designing scalable table schemas, partition/row key strategies, throughput optimization, and performance tuning patterns for Azure Table storage. |
| Architecture & Design Patterns | L39-L48 | Designing Azure Table Storage schemas: partition/row key strategies, query-optimized models, handling relationships, efficient updates, and common design patterns/anti-patterns. |
| Limits & Quotas | L49-L53 | Scalability limits, throughput targets, and performance constraints for Azure Table Storage, including partition key design, request rates, and capacity planning. |
| Security | L54-L60 | Configuring Azure Table Storage security: using Microsoft Entra ID, assigning RBAC roles, and applying best practices for access control and data protection. |
| Configuration | L61-L65 | Configuring Azure Table Storage monitoring: enabling metrics and logs, understanding available telemetry, and setting up alerts for performance, availability, and diagnostics. |
| Integrations & Coding Patterns | L66-L69 | Using Azure PowerShell to manage Table storage: create/delete tables, insert/query/update/delete entities, and script common data operations. |
Show full SKILL.md (144 more words)Show less
Best Practices
| Topic | URL |
|---|---|
| Apply performance and scalability best practices for Azure Table storage | https://learn.microsoft.com/en-us/azure/storage/tables/storage-performance-checklist |
Architecture & Design Patterns
| Topic | URL |
|---|---|
| Design scalable, cost-efficient schemas in Azure Table storage | https://learn.microsoft.com/en-us/azure/storage/tables/table-storage-design |
| Design Azure Table storage for efficient data modification | https://learn.microsoft.com/en-us/azure/storage/tables/table-storage-design-for-modification |
| Design Azure Table storage schemas optimized for queries | https://learn.microsoft.com/en-us/azure/storage/tables/table-storage-design-for-query |
| Apply Azure Table storage design guidelines for efficient access | https://learn.microsoft.com/en-us/azure/storage/tables/table-storage-design-guidelines |
| Model relationships in Azure Table storage designs | https://learn.microsoft.com/en-us/azure/storage/tables/table-storage-design-modeling |
| Use Azure Table storage design and anti-patterns effectively | https://learn.microsoft.com/en-us/azure/storage/tables/table-storage-design-patterns |
Limits & Quotas
| Topic | URL |
|---|---|
| Azure Table storage scalability and performance limits | https://learn.microsoft.com/en-us/azure/storage/tables/scalability-targets |
Security
| Topic | URL |
|---|---|
| Assign Azure RBAC roles for Azure Table data access | https://learn.microsoft.com/en-us/azure/storage/tables/assign-azure-role-data-access |
| Authorize Azure Table storage with Microsoft Entra ID and RBAC | https://learn.microsoft.com/en-us/azure/storage/tables/authorize-access-azure-active-directory |
| Implement security for Azure Table Storage | https://learn.microsoft.com/en-us/azure/storage/tables/secure-tables |
Configuration
| Topic | URL |
|---|---|
| Reference monitoring metrics and logs for Azure Table storage | https://learn.microsoft.com/en-us/azure/storage/tables/monitor-table-storage-reference |
Integrations & Coding Patterns
| Topic | URL |
|---|---|
| Use PowerShell cmdlets for Azure Table storage operations | https://learn.microsoft.com/en-us/azure/storage/tables/table-storage-how-to-use-powershell |
© 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-table-storage of MicrosoftDocs/Agent-Skills.
Open the folder on GitHubat commit ba74e8f
Compare with similar skills
Azure Table Storage 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 Table Storage this skillMicrosoftDocs/Agent-Skills | 775 | — | ~1.4k | Automated safety check: Pass | CC-BY-4.0 | |
| Azure Storagemicrosoft/GitHub-Copilot-for-Azure | 255 | 2 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Apex Azure Storagejonathan-vella/apex | 217 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Code ReviewAzure/Azurite | 2.3k | — | ~734 | Automated safety check: Pass | MIT | |
| Azv Azure To DiagramAzure/AZVerify | 101 | — | ~5.7k | Automated safety check: Pass | MIT | |
| Code Reviewlangchain-ai/langchain-azure | 147 | — | ~2.3k | Automated safety check: Pass | MIT |
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Categories
Questions about Azure Table Storage
What does Azure Table Storage do?
Expert knowledge for Azure Table Storage development including best practices, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Azure Table Storage is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Azure Table Storage development including best practices, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns.
When should I use Azure Table Storage?
Azure Table Storage fits situations like: securing Table Storage; tuning telemetry; planning scale limits; scripting with PowerShell.
How do I install Azure Table Storage in Claude Code?
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-table-storage -a claude-code`. Or copy the skill folder (skills/azure-table-storage in MicrosoftDocs/Agent-Skills) into .claude/skills/azure-table-storage in your project. Claude Code loads it when a task matches its description.
How do I install Azure Table Storage in Codex?
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-table-storage -a codex`. Or copy the skill folder (skills/azure-table-storage in MicrosoftDocs/Agent-Skills) into .agents/skills/azure-table-storage in your project. Codex loads it when a task matches its description.
Can I use Azure Table Storage 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-table-storage -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-table-storage, .gemini/skills/azure-table-storage, .github/skills/azure-table-storage and .opencode/skills/azure-table-storage in your project.
What does Azure Table Storage need to run?
SKILL.md names no scripts, command-line tools or credentials: Azure Table Storage is instructions for the agent only. Compatibility (from SKILL.md): Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation..
Does Azure Table Storage 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 Table Storage 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 Table Storage use?
Azure Table Storage 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 Table Storage use?
About 1.4k tokens (SKILL.md is roughly 5.6k 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 Table Storage?
Skills that share tags, products or a category with Azure Table Storage: Azure Storage (microsoft/GitHub-Copilot-for-Azure, 255 stars), Apex Azure Storage (jonathan-vella/apex, 217 stars), Code Review (Azure/Azurite, 2.3k stars) and Azv Azure To Diagram (Azure/AZVerify, 101 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Azure Table Storage?
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.