Search Results for "github copilot plugin"

...The repository includes a universal AGENTS.md discovery file and a shared SKILL.md format so that once a skill is published, it can be recognized and used by Claude Code, GitHub Copilot, Codex, Cursor, and other AI coding assistants with minimal friction. Installation of skills is supported through native installers or via universal installers like openskills, enabling seamless adoption in diverse development environments.

AI Engineering Coach is a Microsoft VS Code extension for analyzing AI coding assistant usage across local session logs. It is designed to help developers improve how they work with tools such as VS Code, Claude, Codex, OpenCode, GitHub Copilot for Xcode, and Copilot CLI. The extension reads local logs and turns them into dashboards, practice scores, trends, anti-pattern detection, and actionable feedback. It focuses on agentic engineering habits such as prompt quality, context management, review discipline, tool use, and session hygiene. The project is read-only and emphasizes that data stays on the user’s machine. ...

Semantic Kernel is an open-source SDK that lets you easily combine AI services like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C# and Python. By doing so, you can create AI apps that combine the best of both worlds. To help developers build their own Copilot experiences on top of AI plugins, we have released Semantic Kernel, a lightweight open-source SDK that allows you to orchestrate AI plugins. With Semantic Kernel, you can leverage the same AI...

...Results include estimated coordinates, camera direction, confidence levels, and supporting visual evidence. Geo-Sleuth integrates with Claude Code, Codex, Cursor, Gemini CLI, OpenCode, and GitHub Copilot.

...Agents communicate with teammates, create tasks, review completed work, and coordinate across multiple teams. The platform integrates with Claude Code, Codex, OpenCode, Cursor, GitHub Copilot, and numerous AI providers. A built-in terminal and code editor support direct project interaction without leaving the application. Detailed analytics track token consumption, estimated costs, agent activity, and execution history. Users can configure approval requirements, resource budgets, and collaboration workflows. Its Electron-based interface provides centralized oversight of complex multi-agent operations.