research

Use this agent when you need to search for academic papers on arXiv based on a research query. This agent will search for papers, evaluate their relevance, and provide a curated list of the most relevant papers with summaries. Examples: <example> Context: User wants to find recent papers about transformer architectures in computer vision. user: "Find me papers about vision transformers" assistant: "I'll use the arxiv-paper-researcher agent to search for relevant papers on vision transformers." <commentary> The user is asking for academic papers on a specific topic, so the arxiv-paper-researcher agent should be used to search arXiv and provide relevant results. </commentary> </example> <example> Context: User is looking for papers about quantum computing applications in cryptography from the last year. user: "What are the latest papers on quantum cryptography from 2023?" assistant: "Let me search for recent quantum cryptography papers using the arxiv-paper-researcher agent." <commentary> The user wants academic papers with a specific date range, which the arxiv-paper-researcher agent can handle by setting appropriate date filters. </commentary> </example> <example> Context: User needs papers about neural network optimization techniques. user: "I need research papers about optimizing neural networks" assistant: "I'll launch the arxiv-paper-researcher agent to find relevant papers on neural network optimization." <commentary> This is a clear request for academic papers on a technical topic, perfect for the arxiv-paper-researcher agent. </commentary> </example>

Use this agent when you need rigorous challenge and critical analysis of ideas, proposals, or solutions. Deploy this agent to stress-test concepts before implementation, identify blind spots in planning, or overcome confirmation bias. Examples: <example> Context: User has proposed a new system architecture. user: "I think we should migrate our monolith to microservices. It will solve our scaling issues and make development faster." assistant: "Let me engage the devils-advocate agent to thoroughly challenge this proposal and uncover potential issues." <Task tool call to devils-advocate agent> </example> <example> Context: Team has agreed on a technical solution. user: "We've decided to use Redis for caching. Everyone thinks it's the right choice." assistant: "Before proceeding, let me use the devils-advocate agent to critically examine this decision and explore what could go wrong." <Task tool call to devils-advocate agent> </example> <example> Context: User presents what seems like a complete solution. user: "Here's my implementation for the payment processing system. I think it covers all the requirements." assistant: "This looks comprehensive on the surface. Let me invoke the devils-advocate agent to probe for edge cases, failure scenarios, and hidden risks." <Task tool call to devils-advocate agent> </example> <example> Context: User seeks validation without prompting. user: "I've finished the authentication module. It handles login, logout, and password reset." assistant: "Rather than simply reviewing, let me use the devils-advocate agent to aggressively challenge the design and identify potential vulnerabilities." <Task tool call to devils-advocate agent> </example>

Use this agent when you need to search for GitHub projects based on specific criteria, technologies, or features. This agent specializes in finding relevant repositories by intelligently searching through documentation files using the grep MCP tool. <example>Context: User wants to find GitHub projects related to a specific technology or use case. user: "Find me some GitHub projects that use React with TypeScript for building dashboards" assistant: "I'll use the github-project-searcher agent to find relevant repositories for you" <commentary>The user is asking to search for specific types of projects, so the github-project-searcher agent should be used to systematically search through GitHub repositories.</commentary></example> <example>Context: User needs to discover open source projects in a particular domain. user: "I'm looking for machine learning projects that implement neural networks for image classification" assistant: "Let me search for relevant GitHub projects using the github-project-searcher agent" <commentary>This is a project discovery request that requires searching through GitHub repositories, perfect for the github-project-searcher agent.</commentary></example>

Use this agent when you need to research topics, gather opinions, find discussions, or answer questions by searching and analyzing Reddit content. This includes finding community insights, trending discussions, user experiences, product reviews, troubleshooting solutions, or any query that would benefit from Reddit's collective knowledge. <example>Context: The user wants to know about community opinions on a topic from Reddit. user: "What do Reddit users think about the new iPhone 15 Pro overheating issues?" assistant: "I'll use the reddit-search-analyst agent to search Reddit for discussions about iPhone 15 Pro overheating issues and gather community insights." <commentary>Since the user is asking for Reddit-specific information and community opinions, use the reddit-search-analyst agent to search and analyze relevant Reddit posts.</commentary></example> <example>Context: The user needs help finding Reddit discussions about a specific problem. user: "Find me Reddit threads about fixing Steam Deck drift issues" assistant: "Let me use the reddit-search-analyst agent to search for Reddit discussions about Steam Deck drift fixes." <commentary>The user explicitly wants Reddit threads about a technical issue, so use the reddit-search-analyst agent to find and analyze relevant discussions.</commentary></example>

Use this agent when the user asks for help creating a research plan, needs to investigate a topic systematically, wants to understand different perspectives on a subject, or requests a structured approach to gathering information. Examples: <example> Context: User wants to research a complex topic and needs a structured approach. user: "I need to research the current state of quantum computing and its practical applications" assistant: "Let me use the Task tool to launch the research-planner agent to create a comprehensive research plan for quantum computing." <commentary>The user is requesting research on a complex topic, so use the research-planner agent to build a structured research plan.</commentary> </example> <example> Context: User mentions they want to make an informed decision about a product or technology. user: "I'm trying to decide whether to switch to electric vehicles - can you help me understand the pros and cons?" assistant: "I'll use the Task tool to launch the research-planner agent to create a thorough research plan covering electric vehicle adoption." <commentary>The user needs comprehensive research to make an informed decision, so use the research-planner agent to structure the investigation.</commentary> </example> <example> Context: User is exploring a new business idea or market. user: "What's the market opportunity for AI-powered educational tools?" assistant: "Let me use the Task tool to launch the research-planner agent to build a research plan for investigating this market." <commentary>The user is exploring a market opportunity that requires systematic research, so use the research-planner agent.</commentary> </example>

Use this agent when you need to conduct thorough web research on any topic, gather comprehensive information from multiple sources, or develop a deep understanding of a subject through iterative searches. Examples: <example> Context: User needs research on a technical topic. user: "Can you research the latest developments in quantum computing error correction?" assistant: "I'll use the Task tool to launch the web-research-specialist agent to conduct comprehensive research on quantum computing error correction." <commentary>The user is requesting research that requires gathering and synthesizing information from multiple sources, so the web-research-specialist agent should be used.</commentary> </example> <example> Context: User asks about a current event. user: "What's happening with the recent AI safety summit?" assistant: "Let me use the Task tool to launch the web-research-specialist agent to gather comprehensive information about the AI safety summit." <commentary>This requires up-to-date information gathering from multiple sources, making it ideal for the web-research-specialist agent.</commentary> </example> <example> Context: User mentions a topic that would benefit from thorough research. user: "I'm curious about sustainable aviation fuels." assistant: "I'll use the Task tool to launch the web-research-specialist agent to conduct in-depth research on sustainable aviation fuels for you." <commentary>The user's curiosity about a topic suggests they want comprehensive information, so proactively use the web-research-specialist agent.</commentary> </example>