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.
Convert Word documents into Markdown text for summarizing, searching, comparing, or extracting information. The bundled script saves embedded images alongside each document and supports processing entire folders, including subfolders, before the agent analyzes the converted content.
Work through GitHub pull request feedback by classifying findings, fixing code, running repository checks, and posting replies. With suitable permissions, the skill repeats Copilot reviews until the latest code is reviewed and every thread has an agent response.
Builds an evidence map for a disputed decision, linking supporting evidence, counterevidence, qualifications, and missing facts to precise source passages. Produces a structured JSON artifact that makes the reasoning and unresolved questions available for review.
Review findings, drafts, assessments, and reports left by different work desks in a shared folder. Use each desk’s journal for context, then summarize the current state and highlight items that need attention.
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.
Turn a broad product idea into an Epic PRD, a requirements document for a large initiative. Defines users, workflows, business requirements, success metrics, and scope to give engineering teams a basis for technical architecture planning.
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.
Review Python and BigQuery pipelines for excessive costs, duplicate writes on reruns, and hard-to-diagnose failures. Receive a structured assessment with specific function and line references, prioritized fixes, and rough estimates of the largest cost risks.
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.
Build applications with GitHub Copilot SDK using Python, TypeScript, Go, or .NET. Add custom tools, display responses as they arrive, preserve conversations across restarts, and connect external tools through MCP, a protocol for connecting agents to tools.
Assess an Azure resource using logs and performance measurements, investigate failures and their impact, and produce a prioritized remediation plan with concrete steps, validation procedures, rollback options, and monitoring recommendations.
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.
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.
Learn GitHub Copilot CLI through guided lessons, multiple-choice quizzes, and practical scenarios. Track progress with experience points, review commands and settings, and check understanding with a final exam.
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.
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 step-by-step code walkthroughs tailored to readers such as new contributors, reviewers, or bug fixers. Produce CodeTour .tour files linked to verified files and line numbers, with explanations of behavior, design choices, and pitfalls.
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 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.
Generate commit messages from git diffs, staged changes, or written descriptions. Explain the reason and problem behind each change using Conventional Commits, a structured message format, and suggest separate messages for unrelated changes.
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.
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.
Inspect an Azure resource group and turn its resources and connections into a Mermaid architecture diagram, a text-based diagram format. Create Markdown documentation with a resource inventory, configuration details, and explanations of network, data, and identity relationships.
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