Skill UI

This comprehensive CLI tool enables users to manage all core resources within Azure DevOps from a command line interface. It provides full control over CI/CD pipelines, source code repositories (Git), work items (Boards), artifacts, and service connections. Ideal for scripting, advanced automation workflows, and integrating DevOps processes into larger continuous delivery systems.

Analyzes IaC files and live Azure resources to validate SKUs, usage, and costs, then generates GitHub issues (one per recommendation plus an EPIC) so teams can track implementation of prioritized savings.

Creates comprehensive test strategies, task breakdowns, and quality validation plans using ISTQB and ISO 25010 for GitHub projects, ensuring risk-based coverage and CI/CD readiness for every feature delivery.

Interactive training for the GitHub Copilot CLI with guided lessons, quizzes, scenario challenges, and a reference covering slash commands, shortcuts, agents, MCP, and configuration; say “cliexpert” to begin.

Generates a copilot-instructions blueprint tailored to each repository by analyzing existing code patterns, versions, and architectural standards so GitHub Copilot stays aligned with project guidelines.

The GitHub Copilot SDK empowers developers to embed advanced, agentic AI workflows directly into their proprietary applications. It provides a programmatic interface to Copilot's production-tested agent runtime, allowing you to define complex agent behaviors, manage tool invocation, process file edits, and implement real-time streaming responses. Ideal for building custom, highly intelligent tools and automating complex tasks across multiple languages (Python, TypeScript, Go, .NET).

Generates a concise, AI-optimized specification describing what an existing GitHub Actions workflow does, its triggers, requirements, inputs/outputs, and governance so teams can understand and maintain it without implementation details.

Automates creating a single GitHub feature issue from a specification file, checking existing issues first, filling title/description/labels per feature_request.yml, and including only spec-mandated changes.

Automates the creation of GitHub issues by parsing an implementation plan, verifying existing issues, and generating one issue per phase using feature or chore templates with structured titles and requirements.

This tool automates the entire workflow of creating a GitHub Pull Request (PR) directly from a structured specification file. It analyzes the template, extracts requirements, checks for existing PRs, creates the draft, updates the body and title with specification details, and finally transitions the PR state to 'Ready for Review'. This significantly streamlines the feature request submission process, ensuring all necessary documentation and metadata are included.

This comprehensive guide details how to configure and manage GitHub Dependabot. It covers everything from setting up initial dependency updates (npm, pip, docker, etc.) to advanced strategies like monorepo glob patterns, cross-directory grouping, and multi-ecosystem updates. Learn how to automate dependency vulnerability detection and version upgrades efficiently.

Generates migration instructions for GitHub Copilot by comparing two project states, enabling consistent transformations during migrations, refactors, or technology upgrades and documenting rules, validation, and monitoring steps.