List, inspect, and troubleshoot Azure DevOps pipeline builds. Shows recent builds for a pipeline definition, drills into a specific build's status and result, displays logs for failed steps, and lists the changes associated with a build.
npx skills add https://github.com/microsoft/azure-devops-skills --skill pipelines-build-summary
This skill works in the context of a project. A pipeline definition or build ID is optional and depends on what the user asks.
core_list_projects.core_list_projects to return a list of projects the user can choose from.pipelines_definition with action list and a name filter to find it.pipelines_definition with action list to list available definitions for the user to choose from.Use Azure DevOps MCP Server tools for all interactions with Azure DevOps.
core_list_projects: Get a list of projects in the organization.pipelines_definition (action: list): Get a list of build/pipeline definitions for a project.pipelines_build (action: list): Get a list of builds, optionally filtered by definition, branch, or status.pipelines_build (action: get_status): Get the status and result of a specific build by ID.pipelines_build_log (action: list): Get the list of logs for a specific build.pipelines_build_log (action: get_content): Get a specific log by log ID for a build (use to retrieve failed step logs).pipelines_build (action: get_changes): Get the commits/changes associated with a specific build.pipelines_build with action list filtered by the definition ID.branchName, statusFilter, or resultFilter if the user specifies (for example, "failed builds on main").pipelines_build with action get_status with that build ID.pipelines_build_log with action list to get the list of all log entries for the build.pipelines_build_log with action get_content for the relevant failed log entries to retrieve the actual log content.pipelines_build with action get_changes with the build ID.When displaying build lists, show the following in a table:
{buildId}MM/DD/YYYY HH:MMWhen displaying a single build's status, show all the above fields plus:
MM/DD/YYYY HH:MMWhen displaying changes, show in a table:
Automate creating a GitHub repository and deploying a web project to Vercel. Use when the user asks to deploy a website/app to production, publish a project, or set up GitHub + Vercel deployment.
Deploy applications and websites to Vercel. Use this skill when the user requests deployment actions such as "Deploy my app", "Deploy this to production", "Create a preview deployment", "Deploy and give me the link", or "Push this live". No authentication required - returns preview URL and claimable deployment link.
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.
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).
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
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.
Take microsoft/pipelines-build-summary 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.