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Build a Java MCP server, a service that lets AI agents call Java code, APIs, or databases. The skill prepares a Maven or Gradle project, implements tools, adds tests, and configures client connections.

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• Expose existing Java code to AI agents
• Connect agents to APIs or databases
• Build an MCP server in Spring Boot

Move GitHub labels and Project V2 field values into organization-wide issue fields, structured properties shared across repositories. Review mappings and conflicts before migration, preserve existing values, and optionally remove migrated labels.

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• Convert priority labels into a shared Priority field
• Copy project priorities and due dates into issue fields
• Preview migration changes without updating issues

Review GitHub Actions workflows for unsafe input handling, excessive token permissions, exposed secrets, and changeable action references. Get findings grouped by issue type, with severity ratings, exact YAML locations, and concrete fixes to review.

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• Reviewing CI workflows for security issues
• Checking privileged triggers that run fork code
• Restricting GITHUB_TOKEN permissions

Set up GitHub Copilot for a new project with instructions, reusable skills, and specialized agents tailored to its technology stack. Add a coding agent environment workflow when GitHub Actions is used, plus setup and customization guidance.

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• Configure Copilot when starting a new project
• Define shared coding, testing, and review standards
• Create reusable development skills and specialized agents

Create and update GitHub issues for bugs, feature requests, and tasks. Organize owners, labels, dates, and priorities, connect related work, and track dependencies and project progress through MCP tools and the GitHub API.

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• File bug reports and feature requests
• Update issue owners, dates, and priorities
• Organize parent tasks, subtasks, and dependencies

Audit GitHub Codespaces startup time and spending, then identify up to three evidence-based improvements to development containers, machine sizes, prebuilds, or idle timeouts, with validation results and expected impact.

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• Investigating slow Codespaces startup
• Reviewing Codespaces spending
• Trimming unused development container components

Compare two versions of a project and turn migration patterns into instructions for GitHub Copilot. Document API replacements, new conventions, obsolete patterns, and validation steps so future code changes follow the same approach.

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• Documenting framework version upgrades
• Creating rules for replacing a technology
• Preserving conventions after architectural refactoring

Upload local screenshots, images, PDFs, archives, and videos to GitHub, then embed them in pull requests, issues, or comments. Use gh-attach to obtain attachment URLs and download existing GitHub attachments to a specified local destination.

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• Attach before-and-after screenshots to a pull request
• Add an explanatory image to an issue
• Share PDFs or videos in comments

Audit GitHub Actions workflows and run history to identify wasted automated checks and runner time. Get up to three evidence-based improvements aimed at reducing runtime or cost while preserving required validation.

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• Investigate long GitHub Actions runs
• Review CI costs and unnecessary workflow runs
• Improve caching and cancellation of overlapping runs

Prepare a library release on GitHub by reviewing code changes, proposing a version number, drafting a changelog, and opening a release pull request. Version and changelog reviews let you confirm the details before proceeding.

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• Choosing the next version from public API changes
• Drafting a changelog for library users
• Preparing a release branch and pull request

Update GitHub Actions when workflow logs warn about deprecated runtimes. The skill guides compatible version selection, pins actions to exact commits, preserves existing workflow behavior, and checks execution results and outputs after the upgrade.

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• Addressing deprecated runtime warnings
• Upgrading actions while preserving workflow behavior
• Pinning action versions to exact commits

Turn an existing GitHub Actions workflow into a structured specification for maintenance and AI reference. Document its purpose, triggers, job dependencies, inputs, outputs, permissions, and failure handling, focusing on expected behavior rather than implementation details.

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• Documenting an existing GitHub Actions workflow
• Reviewing job order and dependencies
• Organizing permissions and failure handling

Turn implementation plan phases into GitHub Issues with structured titles, descriptions, and labels. Check existing issues first, then create or update one issue per phase using feature or chore templates where available.

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• Turning implementation plan phases into GitHub Issues
• Updating existing issues to reflect a plan
• Structuring feature and chore work with issue templates

Turn a specification file into a GitHub feature request issue. The skill extracts requirements, checks existing issues, and creates or updates one issue covering the specification, using a template to organize the problem, solution, and context.

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• Turn a specification into a feature request issue
• Check existing issues before registering a request
• Update an existing issue with specification requirements

Configure GitHub Dependabot to keep dependencies, the packages a project relies on, updated. Organize update pull requests into groups, set schedules and exclusion rules, and configure security updates across projects with multiple packages or package systems.

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• Create or revise dependabot.yml
• Group dependency updates into fewer pull requests
• Configure updates across a monorepo

Compare specification requirements with the codebase and create GitHub issues for unmet requirements. Check existing issues for duplicates, then include requirement IDs, implementation guidance, context, and acceptance criteria in each new issue.

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• Finding requirements missing from an implementation
• Turning unmet requirements into GitHub issues
• Checking for duplicate issues before creating tasks

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.

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• Check Copilot adoption across an organization
• Review suggestion acceptance rates and chat usage
• Compare usage across individual users

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.

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• Embed an AI assistant in an application
• Add custom tools for an agent to call
• Display generated responses as they arrive

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.

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• Recovering work accomplishments missing from a personal log
• Preparing evidence for a performance review
• Organizing achievements for a promotion case

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.

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• Find spaces available to a team
• Answer questions using project documentation
• Draft weekly updates from a space's workflow

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.

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• Deploying an existing static site to Azure
• Testing a frontend and API together locally
• Configuring routes and authentication

Create a copilot-instructions.md file from an existing codebase. Identify technology versions, architecture, naming conventions, and testing practices, then turn observed patterns into project-specific guidance for GitHub Copilot without introducing unsupported assumptions.

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• Create GitHub Copilot instructions for an existing project
• Document version compatibility requirements
• Capture established coding and testing conventions

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.

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• Breaking feature requirements into GitHub Issues
• Mapping dependencies and setting work priorities
• Preparing sprint estimates and completion criteria

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.

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• Learning GitHub Copilot CLI step by step
• Reviewing slash commands and keyboard shortcuts
• Practicing CLI features through scenario challenges