Expert knowledge for Azure Boards development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when managing work items, WIQL queries, Excel/Office sync, GitHub/Teams integrations, or process templates, and other Azure Boards related development tasks. Not for Azure DevOps (use azure-devops), Azure Test Plans (use azure-test-plans), Azure Pipelines (use azure-pipelines), Azure Repos (use azure-repos).
npx skills add https://github.com/MicrosoftDocs/Agent-Skills --skill azure-boards
This skill provides expert guidance for Azure Boards. Covers troubleshooting, best practices, decision making, limits & quotas, security, configuration, and integrations & coding patterns. It combines local quick-reference content with remote documentation fetching capabilities.
> 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:
mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.| Category | Lines | Description |
|----------|-------|-------------|
| Troubleshooting | L35-L43 | Diagnosing and fixing Azure DevOps Office integration errors, backlog nesting/reordering issues, and common Azure Boards query problems. |
| Best Practices | L44-L54 | Guidance on Agile/Scrum best practices in Azure Boards: work item management, scalable product and sprint planning, process customization, and querying for workflow/board changes. |
| Decision Making | L55-L61 | Guidance on selecting Azure Boards migration/integration options, cross-team reporting tools, and the best process template (Agile/Scrum/CMMI) for your project. |
| Limits & Quotas | L62-L66 | Managing limits, quotas, and recovery for Azure Boards test artifacts and work item attachments, including deletion, restoration, size/count constraints, and best practices. |
| Security | L67-L73 | Managing Azure Boards security: default permissions, configuring query/folder access, and setting access controls and policies for teams and users. |
| Configuration | L74-L84 | Configuring Azure Boards: work item fields and processes (Agile/Scrum/CMMI), bug/risk tracking, code review/feedback fields, query fields/macros, charts, and GitHub Enterprise integration. |
| Integrations & Coding Patterns | L85-L95 | Connecting Azure Boards to Excel, GitHub, GitHub Copilot, Slack, and Teams, plus using WIQL to query and bulk-edit work items and surface status in external tools. |
| Topic | URL |
|-------|-----|
| Resolve Azure DevOps Office integration errors | https://learn.microsoft.com/en-us/azure/devops/boards/backlogs/office/tfs-office-integration-issues?view=azure-devops |
| Resolve Azure DevOps Office integration errors | https://learn.microsoft.com/en-us/azure/devops/boards/backlogs/office/tfs-office-integration-issues?view=azure-devops |
| Resolve Azure DevOps Office integration errors | https://learn.microsoft.com/en-us/azure/devops/boards/backlogs/office/tfs-office-integration-issues?view=azure-devops |
| Troubleshoot Azure Boards backlog nesting and reordering | https://learn.microsoft.com/en-us/azure/devops/boards/backlogs/resolve-backlog-reorder-issues?view=azure-devops |
| Resolve common Azure Boards query issues | https://learn.microsoft.com/en-us/azure/devops/boards/queries/query-faqs?view=azure-devops |
| Topic | URL |
|-------|-----|
| Apply Azure Boards work item management best practices | https://learn.microsoft.com/en-us/azure/devops/boards/backlogs/manage-work-items?view=azure-devops |
| Apply Azure Boards Agile product management practices | https://learn.microsoft.com/en-us/azure/devops/boards/best-practices-agile-project-management?view=azure-devops |
| Plan and configure Azure Boards process customization | https://learn.microsoft.com/en-us/azure/devops/boards/configure-customize?view=azure-devops |
| Apply scalable Agile practices in Azure Boards | https://learn.microsoft.com/en-us/azure/devops/boards/plans/practices-that-scale?view=azure-devops |
| Create queries for workflow and board changes | https://learn.microsoft.com/en-us/azure/devops/boards/queries/query-by-workflow-changes?view=azure-devops |
| Query work items by titles and rich-text fields | https://learn.microsoft.com/en-us/azure/devops/boards/queries/titles-ids-descriptions?view=azure-devops |
| Apply Azure Boards sprint and Scrum best practices | https://learn.microsoft.com/en-us/azure/devops/boards/sprints/best-practices-scrum?view=azure-devops |
| Topic | URL |
|-------|-----|
| Select migration and integration options for Azure Boards | https://learn.microsoft.com/en-us/azure/devops/boards/extensions/migrate-integrate?view=azure-devops |
| Choose Azure Boards tools for cross-team visibility | https://learn.microsoft.com/en-us/azure/devops/boards/plans/visibility-across-teams?view=azure-devops |
| Choose the right Azure Boards process template | https://learn.microsoft.com/en-us/azure/devops/boards/work-items/guidance/choose-process?view=azure-devops |
| Topic | URL |
|-------|-----|
| Manage Azure Boards work item attachments and limits | https://learn.microsoft.com/en-us/azure/devops/boards/work-items/manage-attachments?view=azure-devops |
| Topic | URL |
|-------|-----|
| Understand default permissions and access in Azure Boards | https://learn.microsoft.com/en-us/azure/devops/boards/get-started/permissions-access-boards?view=azure-devops |
| Configure query and folder permissions in Azure Boards | https://learn.microsoft.com/en-us/azure/devops/boards/queries/set-query-permissions?view=azure-devops |
| Secure Azure Boards with access controls and policies | https://learn.microsoft.com/en-us/azure/devops/boards/secure-your-azure-boards?view=azure-devops |
| Topic | URL |
|-------|-----|
| Configure on-premises Azure DevOps with GitHub Enterprise | https://learn.microsoft.com/en-us/azure/devops/boards/github/connect-on-premises-to-github?view=azure-devops-server |
| Configure Azure Boards query charts for dashboards | https://learn.microsoft.com/en-us/azure/devops/boards/queries/example-query-charts?view=azure-devops |
| Use Azure Boards query fields, operators, and macros | https://learn.microsoft.com/en-us/azure/devops/boards/queries/query-operators-variables?view=azure-devops |
| Track bugs, issues, and risks fields in CMMI process | https://learn.microsoft.com/en-us/azure/devops/boards/work-items/guidance/cmmi/guidance-bugs-issues-risks-field-reference-cmmi?view=azure-devops |
| Use code review and feedback fields in Azure Boards | https://learn.microsoft.com/en-us/azure/devops/boards/work-items/guidance/guidance-code-review-feedback-field-reference?view=azure-devops |
| Reference Agile and Scrum work item fields in Azure Boards | https://learn.microsoft.com/en-us/azure/devops/boards/work-items/guidance/work-item-field?view=azure-devops |
| Configure and manage Azure Boards work item fields | https://learn.microsoft.com/en-us/azure/devops/boards/work-items/work-item-fields?view=azure-devops |
| Topic | URL |
|-------|-----|
| Bulk edit Azure Boards work items using Excel | https://learn.microsoft.com/en-us/azure/devops/boards/backlogs/office/bulk-add-modify-work-items-excel?view=azure-devops |
| Add Azure Boards status badges to GitHub repos | https://learn.microsoft.com/en-us/azure/devops/boards/github/configure-status-badges?view=azure-devops |
| Integrate Azure Boards projects with GitHub repositories | https://learn.microsoft.com/en-us/azure/devops/boards/github/connect-to-github?view=azure-devops |
| Link GitHub artifacts to Azure Boards work items | https://learn.microsoft.com/en-us/azure/devops/boards/github/link-to-from-github?view=azure-devops |
| Integrate GitHub Copilot with Azure Boards work items | https://learn.microsoft.com/en-us/azure/devops/boards/github/work-item-integration-github-copilot?view=azure-devops |
| Integrate Azure Boards with Slack channels | https://learn.microsoft.com/en-us/azure/devops/boards/integrations/boards-slack?view=azure-devops |
| Use Azure Boards with Microsoft Teams channels | https://learn.microsoft.com/en-us/azure/devops/boards/integrations/boards-teams?view=azure-devops |
| Use WIQL syntax for Azure Boards queries | https://learn.microsoft.com/en-us/azure/devops/boards/queries/wiql-syntax?view=azure-devops |
Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic.
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Take microsoftdocs/azure-boards 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.