913 skills · sorted by relevance
Add GitHub Copilot CLI as an optional research provider in Claude Octopus workflows using an existing Copilot subscription. The skill covers authentication, model selection, and skipping Copilot when unavailable; each prompt consumes a premium request.
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.
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.
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.
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.
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.
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.
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.
Find and review pull requests created with GitHub Copilot using author searches, branch names, and Git history. Follow practical checks for changes and tests, and export request lists to CSV to track contributions.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.