Turn a Python script into a beginner-friendly project by improving its structure and naming, adding comments that explain the reasoning, and creating a README.md tutorial covering setup, code logic, and example usage.
Find and load Copilot Spaces, shared collections of project documents, code, and instructions, to answer team-specific questions or follow reporting workflows. Also create and update spaces, attached resources, and collaborator settings through the GitHub CLI.
Research competitors’ paid ads on Meta and Google, then examine their messaging, formats, and landing pages. Produce a strategy report showing paths from ads to signups, gaps in competitors’ approaches, and ideas for campaigns to test.
Turn work history into clear accomplishment statements for performance reviews, promotion cases, and weekly updates. Use Copilot CLI sessions, git commits, and GitHub pull requests to connect each action with its result and supporting evidence.
Review Git changes and prepare consistent commit messages using Conventional Commits, a format that labels each change by type and scope. The workflow includes message validation, optional explanatory details, and committing changes through Copilot.
Convert feature requirements and implementation plans into a test strategy, task checklist, and quality assurance plan for GitHub projects. Define test coverage, priorities, dependencies, estimates, and quality checkpoints using established testing and software quality frameworks.
Design or review distributed systems, where multiple computers work together, using 42 cloud design patterns. Organizes options for reliability, performance, messaging, security, and deployment, emphasizing why to choose each pattern and the trade-offs involved.
Review Azure infrastructure code and deployed resources against five Well-Architected Framework pillars. Identify configuration drift, classify risks, and produce remediation guidance and an architecture diagram, with GitHub issues created after user approval.
Learn GitHub Copilot CLI through interactive lessons for developers and non-developers. Practice prompts, permissions, file references, and task planning, with progress tracking and answers to specific questions as you work through the material.
Build or modify content management systems such as WordPress and Shopify. Locate the right theme, extension, editor, or content layer, then make changes that respect platform conventions, media handling, previews, and publishing behavior.
Generate a customizable AI prompt for finding representative examples in an existing codebase. Configure analysis depth, categories, and snippets so GitHub Copilot can produce exemplars.md with real file references and explanations of coding conventions.
Refine task prompts through questions about scope, deliverables, constraints, and success criteria. Receive an organized Markdown prompt in chat and on your clipboard, with revisions supported through the Joyride extension.
Turn an urban IoT idea, such as connected lighting or traffic monitoring, into an Azure architecture and delivery plan. Define device connections, data flows, security, operations, cost controls, and phased implementation tasks.
Prepare an ASP.NET Core project to run in a Linux Docker container. Create a project-specific Dockerfile and .dockerignore, configure dependencies, ports, and environment variables, and check that the container image builds successfully.
Create, debug, and maintain Windows batch scripts for file operations, backups, and scheduled tasks. Covers command arguments, variables, loops, and error handling, with starter templates for command-line tools and reusable functions.
Retrieve GitHub Copilot usage for an organization or enterprise through the GitHub CLI and REST API. Summarize active users, suggestion acceptance, and chat activity, with aggregate results or per-user tables for selected dates.
Create and check Git branch names using Conventional Branch rules. Choose a prefix for the task, normalize the description, detect the repository’s base branch, and create and switch to the new branch.
Turn feature requirements and technical plans into a structured GitHub project plan. Break work into linked issues, define acceptance criteria, dependencies, priorities, and estimates, and outline board settings and automated progress tracking.
Map the code relevant to a task before implementation. Identify files to change, direct dependencies, related tests, and existing patterns, then organize the findings and potential risks into a structured document for review.
Choose an Azure role that grants only the permissions an identity needs. The skill finds suitable built-in roles, creates custom definitions when necessary, and generates CLI commands and Bicep infrastructure code for assigning the role.
Prepare and deploy static sites to Azure Static Web Apps with the SWA CLI. Set up local previews, configure routing and authentication, connect Azure Functions APIs, and arrange automated deployment through GitHub Actions.
Turn incomplete or intermittent bug reports into a minimal reproduction backed by recorded evidence. Capture the environment, expected and actual results, commands, and remaining unknowns in a brief before diagnosis or repair.
Create an AGENTS.md file that explains how coding agents should work in a project. Examine its structure and existing configuration, then document setup commands, development workflows, tests, coding conventions, builds, and contribution requirements.
Assess an AWS resource using CloudWatch logs and metrics, the measurements that describe its behavior. Investigate failures and performance issues, classify their severity, and produce a remediation report with staged actions, CLI commands, and monitoring recommendations.
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