Set up an AI agent workspace by generating template files and configuring project context based on specified project path, name, and optional tech stack.
Monitor and analyze AI agent performance metrics including token usage, execution time, validation scores, security assessments, and test coverage to identify areas for improvement.
Adds AI agent skills by copying skill directories with supporting files to the workspace, enabling dynamic skill loading for enhanced agent capabilities.
Retrieve specific information from multiple files using an AI agent. Input file paths, keywords, and detailed context to extract relevant content efficiently, minimizing token usage while ensuring accurate results.
Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.
Bridges Cline to an AI agent system through the Model Context Protocol, enabling message sending, session management, and assistant switching for seamless interaction with AI agents.
Enables downloading videos from platforms like YouTube and converting them to text using OpenAI Whisper and ffmpeg. It supports multiple output formats including TXT, JSON, SRT, and VTT for transcriptions.