boards-my-work

This skill retrieves and displays work items assigned to the user in Azure DevOps, organized by type and sorted by recently changed. It prompts for a project…

npx skills add https://github.com/microsoft/azure-devops-skills --skill boards-my-work

Get my work items

Before getting work items, you need to know which project to use.

  • If the user provides a project name in their request (for example, "for Contoso"), use that project directly and do not call the core_list_projects tool.
  • If a project name is not provided, first return a prompt asking the user for the project name.
  • If the project name is still not provided after prompting the user, then call the MCP Server tool core_list_projects to get the list of projects the user can choose from.
  • Do not continue if the user has not provided a project name or selected one from the list.

Tools

Use Azure DevOps MCP Server tools for all interactions with Azure DevOps.

  • core_list_projects: Get the list of projects the user can choose from.
  • wit_work_item (action: my): Get work items from Azure DevOps that are assigned to the user
  • wit_work_item (action: get_batch): Get work item details in batch by their IDs. Use this tool to get detailed information about the work items retrieved by wit_work_item with action my.

Fields

When using the tool wit_work_item with action get_batch, if the user does not provide a list of fields to retrieve, use the following default fields:

  • System.Id
  • System.Title
  • System.State
  • System.AssignedTo
  • System.WorkItemType
  • System.CreatedDate
  • System.ChangedDate
  • System.Tags
  • Microsoft.VSTS.Common.Priority

Display results

When displaying the results...

  • show the work item ID (make this clickable hyperlink to open the work item in a web browser. Format should be like this: {ID}),
  • title
  • state,
  • priority

in a table format. Show the most recently changed work items first and group the work items by thier work item type (System.WorkItemType). For example, group the work items into the following categories based on their work item type:

Epics Features Stories Bugs Tasks Test Cases other work item types

Steps

  1. Check if the user has provided a project name in their request. If not, prompt the user to provide a project name.
  2. If the user still does not provide a project name, call the core_list_projects tool to get the list of projects and prompt the user to select one.
  3. Once a project name is obtained, call the wit_work_item tool with action my to retrieve the work items assigned to the user for that project. Use assigned to me as the filter criteria to get the relevant work items.
  4. Extract the IDs of the retrieved work items and call the wit_work_item tool with action get_batch to get detailed information about those work items, including the default fields if the user did not specify any.
  5. Organize the retrieved work items by their work item type (System.WorkItemType) and sort them by the most recently changed date (System.ChangedDate).
  6. Display the work items in a table format, showing the ID (as a clickable hyperlink), title, state, and priority for each work item, grouped by their work item type.

More skills from microsoft

oss-growth
microsoft
OSS growth hacker persona
agent-framework-azure-ai-py
microsoft
Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.
development
airunway-aks-setup
microsoft
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
devops
appinsights-instrumentation
microsoft
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.
devops
applicationinsights-web-ts
microsoft
Instrument browser/web apps with the Application Insights JavaScript SDK (@microsoft/applicationinsights-web). Use for Real User Monitoring (RUM) — page views, clicks, AJAX/fetch dependencies, exceptions, custom events, and browser-side GenAI agent traces correlated to backend OpenTelemetry traces. Covers SDK Loader Script and npm setup, framework extensions (React, React Native, Angular), Click Analytics, telemetry initializers, and OTel GenAI semantic conventions for agent/tool/model spans emitted from the browser.
devops
azure-ai-anomalydetector-java
microsoft
Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.
development
azure-ai-language-conversations-py
microsoft
Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. Triggers: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
development