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Test Omnigent’s GitHub Copilot SDK integration on a live local server. Build test agents, run real conversations, and inspect authentication, model selection, tool connections, policy enforcement, and leftover processes to investigate integration failures.

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• Checking Copilot authentication with a real conversation
• Testing model selection and tool connections
• Verifying sub-agent dispatch and policy enforcement

Use the CopilotKit CLI to check app connections, credentials, and agent responses before investigating code. It also guides project creation, integration into existing apps, hosted project selection, typed agent identifier generation, and thread history imports.

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• Diagnosing CopilotKit connection and authentication failures
• Creating a new CopilotKit project
• Adding CopilotKit to an existing app

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.

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• Address outstanding Copilot review comments
• Run repeated reviews on a completed pull request
• Explain declined suggestions and hand off design decisions

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

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.

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• Learning Copilot CLI basics step by step
• Practicing writing and summaries without coding
• Learning file references and planning commands

Retrieve current Azure retail prices and estimate monthly or annual costs by service, region, and configuration. Compare payment options and calculate Copilot Studio credit usage and estimated costs from expected agent activity.

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• Estimate monthly and annual Azure costs
• Compare prices across regions and configurations
• Compare reservations, savings plans, and spot pricing

Delegate repository analysis and coding tasks to GitHub Copilot CLI without an interactive session. The skill reads structured output, checks errors, and summarizes the final result along with any denied tool requests.

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• Ask Copilot to explain a failing test
• Delegate repository analysis to Copilot
• Request code changes with narrowly scoped tool permissions

Ask GitHub Copilot for code explanations, reviews, or short code examples through its command line interface. The skill supports requests without an interactive screen and named sessions for follow-up questions.

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• Getting a second opinion on code
• Reviewing an approved code excerpt
• Requesting a short code example

Set up language servers for GitHub Copilot CLI to enable definition lookup, reference search, hover details, and type information. Detects the operating system, installs the appropriate server, and merges user or repository configuration while preserving existing entries.

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• Enabling definition lookup and reference search in Copilot CLI
• Adding language support to an existing configuration
• Creating shared language server settings for a repository

Generate an MCP server, a service exposing tools to AI agents, and a Power Platform custom connector for Copilot Studio. Outputs include connector definitions, authentication settings, request handling, individual tools, and deployment configuration.

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• Connect a Copilot Studio agent to an external API
• Create tools for customer search and analysis
• Generate connector files and authentication settings

Create a Microsoft 365 Copilot agent that connects to external systems through MCP, a protocol for accessing tools and data. Generate project configuration, select available functions, configure authentication, and follow provisioning and testing steps.

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• Connect Microsoft 365 Copilot to an MCP server
• Select external tools to expose in Copilot
• Configure OAuth 2.0 or SSO authentication

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

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

Set up an agent that replies in Slack or Microsoft Teams using CopilotKit's guided CLI workflow. It covers project preparation, agent creation, channel configuration, a persistent host process, and verification with a real message.

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• Building a first agent that replies in Slack
• Connecting an agent to Microsoft Teams
• Checking channel setup through a real reply

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

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

Get instructions for installing and reviewing the full ai-ready skill in Copilot CLI. This wrapper explains how to add the latest version, reload skills, and request repository preparation for AI contributions.

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• Install the full skill in Copilot CLI
• Review the skill before loading it
• Update an existing skill installation

Helps integrate CopilotKit into an app by consulting current documentation and source code. Covers chat interfaces, agent connections, shared state, and troubleshooting, with guidance on checking configuration and avoiding incompatible API versions.

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• Adding a CopilotKit chat interface to an app
• Connecting an agent framework
• Diagnosing runtime connection problems

Use a browser whiteboard to sketch ideas, draw workflows, and add sticky notes, then share them with Copilot CLI. The agent interprets the image and text to discuss your thinking and suggest next steps.

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• Discussing a workflow drawn on a whiteboard
• Organizing ideas captured on sticky notes
• Turning a sketch into a memo or checklist

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

Generate coding agent instruction files from a project's actual code using AgentRC. Capture detected languages, frameworks, and conventions in one shared file or split rules by topic and project area, with a preview before writing.

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• Create project instructions for VS Code Copilot
• Refresh agent rules after project changes
• Split monorepo instructions by project area

Connect a local CopilotKit agent to Slack through a managed Intelligence Channel. The skill guides dedicated Slack app creation, credential setup, runtime configuration, and checks that a human mention receives an actual reply.

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• Setting up a dedicated Slack bot for a local agent
• Investigating a Channel stuck waiting for its runtime
• Diagnosing mentions that receive no reply

Develop and debug CopilotKit Inspector interfaces in a dedicated local workbench. It guides baseline screenshots, visual checks after each change, and additional narrow-screen or theme checks when layout or contrast is involved.

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• Fixing Inspector panes and overlay controls
• Checking narrow-screen layouts and the collapsed rail
• Comparing light and dark theme appearance

Delegate a coding task to the GitHub Copilot CLI (`copilot`) as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to delegate implementation work to Copilot - phrasings like "have Copilot implement X", "delegate this to copilot", "run it through Copilot CLI", or "use copilot to implement/fix/refactor" - or wants to run a queue of coding tasks through Copilot while staying the reviewer. DO NOT USE for tasks small enough to do inline, or when the user wants the code written directly without delegating.

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