mcpbeat Sign in

Build Sample Matrix Agent Skill

Build the matrix of all the samples throughout different frameworks.

2k tokens
context cost
the whole folder, loaded on every use
2
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
6033
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/Azure/azure-sdk-for-net --skill build-sample-matrix

What comes with it

3 231 bytes besides the instruction
scripts/validate_links.py

The instruction itself

2 sections, as written by the author

Repositary information.

The source code repositories and samples are organized in the following structure:

| Language | Repository | Samples | Notes |

| -------- | ---------- | ------- | ----- |

| Python | https://github.com/Azure/azure-sdk-for-python.git | https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-projects/samples | All samples are organized by folders according to their topic. In most cases the sample has sync and async implementation. For example, feature.py and feature_async.py are demonstrating sync and async features. |

| C# | https://github.com/Azure/azure-sdk-for-net.git | https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/ai/Azure.AI.Projects/tests/Samples, https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/ai/Azure.AI.Extensions.OpenAI/tests/Samples, https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/ai/Azure.AI.Projects.Agents/tests/Samples | C# sample consists of two parts: the source code in the folder /sdk/ai/<package_name>/tests/Samples and corresponding .md files go to /sdk/ai/<package_name>/Samples, where <package_name> is Azure.AI.Projects, Azure.AI.Extensions.OpenAI or Azure.AI.Projects.Agents |

| JavaScript | https://github.com/Azure/azure-sdk-for-js.git | https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/ai/ai-projects/samples | The samples are split by two folders stable version (v2) and beta (v2-beta). Each of these folders contain samples for JavaScript and Typescript. Samples are further split by folders according to their topics. |

| Java | https://github.com/Azure/azure-sdk-for-java.git | https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/ai/azure-ai-agents/src/samples/java/com/azure/ai/agents and https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/ai/azure-ai-projects/src/samples | java code consists of two packagfes: azure-ai-projects and azure-ai-agents. Both of these projects contain samples, organized by folders according to their topics. |

Instruction

Please use Server github-mcp-server, analyze samples and build the sample matrix in an Markdown format for developers to create missing samples. Here is an example. Let us say we have two samples: "Agents CRUD" and "Agents with default projects". Foo is present only in Python an C# and Bar is present only in Java and JavaScript.

| Feature | Description | Python | C# | JavaScript | Java |

| ------- | ----------- | ------ | -- | ---------- | ---- |

| Foo | Demonstrate Agents CRUD operations | Agents basic, Agents basic async | Agents basic | !!!Absent!!! | !!!Absent!!! |

| Bar | Demonstrate Agents with default projects | !!!Absent!!! | !!!Absent!!! | Agents with default projects | !!!Absent!!! |

  • Make sure, that all the sample files are included into the matrix, except for ones, containing only utility functions look for samples in all subdirectories.
  • The tool samples for Python are located in https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-projects/samples/agents/tools
  • If python sample contains only synchronous or asynchronous sample, mark it as sync-only or async-only respectively.

Validate links in the generated file by running:

python validate_links.py path/to/file.md
python3 validate_links.py path/to/file.md

Other skills for the same job

different authors, same section of the catalogue
MCP Builder
by anthropics
vendor ×13

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

30k tokens scripts
Changelog Generator
by frostant
×9

Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.

774 tokens
Finishing A Development Branch
by ZhanlinCui
×7

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup

1k tokens
MCP Builder
by JayZeeDesign
×7

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

37k tokens scripts
Vercel React Native Skills
by vercel-labs
vendor ×6

React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.

39k tokens
Vercel React Best Practices
by ratacat
×5

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

34k tokens
Next Best Practices
by vercel-labs
vendor ×4

Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling

20k tokens
Using Git Worktrees
by ZhanlinCui
×4

Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification

1k tokens

How to use it

Copy the folder

Take azure/build-sample-matrix from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.