Debate topics using multiple AI models (Claude, GPT, Gemini, Grok) to synthesize verdicts with diverse perspectives for code review, technical decisions, and problem solving.
Apache 2.0
114,426 tools. Last updated 2026-04-21 11:32
- Initiate a conversational analysis session between Claude and Gemini to debug code, explore findings, and resolve stuck points using complementary AI insights for comprehensive problem-solving.MIT
- Consult Google's Gemini AI for development assistance when Claude needs help, additional context, or is stuck on a problem.MIT
- Analyzes complex queries using reasoning models to provide detailed explanations, comparisons, and step-by-step problem-solving solutions.MIT
- Guide iterative analysis using observe-think-act cycles for dynamic problem-solving, adapting strategies based on findings to handle complex workflows.MIT
- Process complex queries using DeepSeek's reasoning engine to generate structured analysis for Claude integration, enabling multi-step problem-solving with formatted outputs.MIT
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- -securityAlicense-qualityEnable Claude (or any other LLM) to interactively debug your code (set breakpoints and evaluate expressions in stack frame). It's language-agnostic, assuming debugger console support and valid launch.json for debugging in VSCode.Last updated2507MIT
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- Synthesize consensus from multiple AI perspectives (Claude, GPT, Gemini) to support important decisions by comparing their responses.
- Package skill directories into platform-specific formats (ZIP for Claude/OpenAI/Markdown, tar.gz for Gemini) and automatically upload them when API keys are configured.MIT
- Count tokens for AI models like GPT-4, Claude, and Gemini before sending requests to manage usage and costs effectively.MIT
- Create detailed implementation plans for Claude Code to execute tasks, using Gemini AI to structure development workflows and provide technical guidance.MIT
- Analyze cognitive patterns and problem-solving approaches to identify optimal thinking conditions and strategies for improved decision-making.MIT
- Debug technical issues using systematic problem-solving with AI assistance. Input tasks, symptoms, and files to identify and resolve errors.MIT
- Create, manipulate, and interpret diagrams to generate insights and test hypotheses for problem-solving and communication.
- Query Google's Gemini AI models for text generation, reasoning, and analysis tasks within Claude Code, supporting multi-turn conversations and streaming responses.Apache 2.0
- Process reasoning tasks quickly by organizing atomic thoughts with simplified verification, optimized for time-sensitive brainstorming and problem-solving.MIT
- Import past AI conversations from ChatGPT, Claude, or Gemini exports to extract decisions, preferences, and facts. Recover knowledge from previous AI interactions by providing JSON data and specifying the source.AGPL 3.0
- Get expert AI analysis for complex problem-solving, architectural decisions, and design tradeoffs when confidence is low or planning requires multiple considerations.
- Transfer complex code analysis tasks to Gemini when Claude Code encounters reasoning limits, enabling advanced semantic analysis beyond syntactic patterns for deeper insights.MIT
- Break down complex problems using Claude Shannon's systematic methodology of problem definition, modeling, validation, and implementation.MIT
- Monitor brand visibility across AI platforms like ChatGPT, Claude, Gemini, and Perplexity. Track visibility scores, analyze competitor data, and receive insights to improve AI-generated brand recommendations.MIT
- Generate text embeddings using Gemini models to convert text into numerical vectors for AI applications like semantic search and similarity analysis.MIT
- Generate text embeddings using Gemini models to convert text into numerical vectors for analysis and processing.MIT
- Get AI-recommended mental models for problem-solving by describing your challenge in natural language.Apache 2.0
- Execute browser automation tasks including clicking, typing, scrolling, JavaScript execution, and captcha solving within web sessions to automate web interactions and data extraction.
- Estimate token costs and compare pricing across 30+ AI models including GPT-4, Claude, Gemini, and Haiku to optimize your AI project budget.MIT
- Analyze and process problem statements using the UCPF framework to enable structured cognitive analysis, knowledge mapping, and perspective generation for advanced problem-solving.
- Solve complex problems using advanced AI reasoning models from multiple providers with integrated search capabilities.MIT
- Track brand visibility trends across ChatGPT, Claude and Gemini over time. Retrieve up to 200 historical data points to analyze LLM perception changes by specific provider or aggregate view for time-series analysis.MIT
- Retrieve detailed historical AI visibility data including competitor rankings and brand mention rates across ChatGPT, Claude, and Gemini for a specific past check.MIT
- Breaks complex tasks into manageable steps, tracks progress, and recommends tools for agentic problem-solving. Logs each thought in a thread to ensure clarity, self-correction, and iterative refinement for efficient task execution.MIT
- Execute AI-driven tasks using Gemini via Agent Client Protocol with multi-modal support, session management, and tool execution capabilities.MIT
- Retrieve past project details and problem-solving episodes from your session history using natural language queries. Returns matched projects, episodes with problem-fix pairs, file states, and markdown narratives without manual searching.MIT
- Discover available Gemini AI models and their capabilities to select the appropriate model for specific tasks.Apache 2.0
- Break down complex problems into structured reasoning steps to track thinking, expected outcomes, and next actions for systematic problem-solving.MIT
- Retrieve accurate answers and verify facts by leveraging Gemini 2.0 Flash and Google Search integration. Ideal for general knowledge queries, fact-checking, and detailed information retrieval.MIT
- Get AI chat completions with smart model routing that automatically selects Claude, GPT, Gemini, or Llama based on task complexity. Pay per call with USDC credits without managing API keys.
- Add subtasks to break complex work into manageable pieces, creating hierarchical structures for organized problem-solving.
- Retrieve today's LeetCode Daily Challenge problem with complete details including description, constraints, and examples for coding practice.MIT
- Configure the Gemini AI model for image generation sessions, choosing between 'flash' for speed or 'pro' for enhanced quality outputs.MIT
- Generates cached content resources for compatible Gemini models to reduce latency and costs for frequently reused prompts. Returns metadata detailing the created cache for efficient reuse.MIT
- Discover conversations related to a specific discussion by analyzing shared files, folders, programming languages, size, or timing. Use this tool to identify similar problem-solving sessions, trace idea evolution, or find discussions about the same codebase.MIT
- Decomposes large tasks into manageable subtasks using Claude AI, then automatically stores them in the database for organized execution.
- Send prompts to Google Gemini AI models through a secure CLI interface. Include local files using @path syntax and configure execution modes for safe interactions.MIT
- Initiate structured reasoning sessions to analyze problems through sequential thinking steps, enabling systematic problem-solving with revision capabilities.
- Analyze code quality by submitting code for automated review from Codex and Gemini CLIs. Get feedback on security, performance, and best practices to improve your implementation.
- Retrieve issues closed or resolved by a specific user to track problem-solving contributions, analyze team productivity, and build knowledge bases for performance reviews.Apache 2.0
- Improve AI prompts using Gemini API strategies like Few-Shot examples and structured formatting to increase response quality and clarity.MIT
- Facilitate structured reasoning and complex problem-solving by analyzing thoughts step-by-step. Ideal for policy verification, mental processes, and detailed analysis without obtaining new information or making changes.MIT
- Perform deep reasoning and complex analysis by automatically routing to optimal AI capabilities for multi-step problem-solving and research questions.
- Generate content with Gemini AI using text prompts, file uploads, Google search, and code execution to create documents, analyze media, and automate tasks.