Azure Test Plans Agent Skill
Expert knowledge for Azure Test Plans development including limits & quotas, security, and integrations & coding patterns. Use when tuning test retention, configuring access for manual testers, or automating suites via tcm.exe CLI, and other Azure Test Plans related development tasks. Not for Azure DevOps (use azure-devops), Azure Boards (use azure-boards), Azure Pipelines (use azure-pipelines), Azure App Testing (use azure-app-testing).
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/MicrosoftDocs/Agent-Skills --skill azure-test-plansThe instruction itself
6 sections, as written by the authorAzure Test Plans Skill
This skill provides expert guidance for Azure Test Plans. Covers limits & quotas, security, 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), use read_file with the specified lines. For categories with file links (e.g., security.md), use read_file on the linked reference file
> IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools 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 |
|----------|-------|-------------|
| Limits & Quotas | L31-L37 | Configuring test data and pipeline retention limits, understanding default quotas, and using custom fields to control how long Azure Test Plans runs and results are stored. |
| Security | L38-L42 | Managing permissions, access levels, and security roles for users and groups in Azure Test Plans manual testing features. |
| Integrations & Coding Patterns | L43-L46 | Using tcm.exe CLI to manage Azure Test Plans: create and run test suites, import/export test cases, manage test configurations, and automate test management tasks |
Limits & Quotas
| Topic | URL |
|-------|-----|
| Configure Azure Pipelines retention limits and behavior | https://learn.microsoft.com/en-us/azure/devops/pipelines/policies/retention?view=azure-devops |
| Use custom fields for Azure DevOps test runs | https://learn.microsoft.com/en-us/azure/devops/test/custom-fields?view=azure-devops |
| Understand Azure Test Plans data retention limits | https://learn.microsoft.com/en-us/azure/devops/test/reference-qa?view=azure-devops |
Security
| Topic | URL |
|-------|-----|
| Configure permissions and access for Azure manual testing | https://learn.microsoft.com/en-us/azure/devops/test/manual-test-permissions?view=azure-devops |
Integrations & Coding Patterns
| Topic | URL |
|-------|-----|
| Use tcm.exe commands for Azure Test Plans management | https://learn.microsoft.com/en-us/azure/devops/test/test-case-managment-reference?view=azure-devops |
Other skills for the same job
different authors, same section of the catalogue
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).
Expert performance engineer specializing in modern observability, application optimization, and scalable system performance. Masters OpenTelemetry, distributed tracing, load testing, multi-tier caching, Core Web Vitals, and performance monitoring. Handles end-to-end optimization, real user monitoring, and scalability patterns. Use PROACTIVELY for performance optimization, observability, or scalability challenges.
Master AI-powered test automation with modern frameworks, self-healing tests, and comprehensive quality engineering. Build scalable testing strategies with advanced CI/CD integration. Use PROACTIVELY for testing automation or quality assurance.
Internet Court adapter for GenLayer Intelligent Contract supervision. Use to specify agent-performance rubrics, evidence schemas, decision outputs, and ERC-7710 connector expectations, while delegating actual GenLayer contract writing, linting, testing, deployment, and CLI interaction to the official GenLayer skills at https://skills.genlayer.com/.
> Suggests using Microsoft Testing Platform (MTP) hot reload to iterate fixes on failing tests without rebuilding. Use when user says "hot reload tests", "iterate on test fix", "run tests without rebuilding", "speed up test loop", "fix test faster", or needs to set up MTP hot reload to rapidly iterate on test failures. Covers setup (NuGet package, environment variable, launchSettings.json) and the iterative workflow for fixing tests. normally with dotnet test (use run-tests), applying test filters, producing TRX reports, CI/CD pipeline configuration, or Visual Studio Test Explorer hot reload (which is a different feature).
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
Build production-grade Azure Cosmos DB NoSQL services following clean code, security best practices, and TDD principles.
How to use it
Take microsoftdocs/azure-test-plans from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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.