AI tools cannot access current web information on their own. This skill searches the web using Tavily and Exa APIs through the belt CLI.

This skill enables AI agents to search the web and extract content from URLs using Tavily and Exa AI-powered search APIs. It provides research capabilities for fact-checking, content aggregation, and building RAG pipelines.

This skill provides a structured framework for competitive analysis, guiding users through feature comparisons, SWOT analysis, pricing benchmarks, and market positioning to inform product strategy.

AI agents and researchers often produce responses without current information or sources. This skill enables RAG pipelines that combine real-time web search with LLMs to generate accurate, sourced, and verifiable responses.

Standard web search tools return only snippets. This skill performs web searches and optionally extracts full page content in markdown format for deeper analysis.

This skill provides documentation for running prefill sensitivity analysis to measure how easily AI models can be manipulated into generating exploit code. Researchers use it to compare token-count versus logprob metrics for predicting reward hacking susceptibility across model checkpoints.

Finding qualified leads takes hours of research and guesswork. This skill analyzes your product and target market to identify companies that match your ideal customer profile, then provides prioritized leads with personalized contact strategies.

Understanding competitor advertising strategies helps you create more effective campaigns. This skill provides a structured approach to researching and analyzing competitor ads from public ad libraries to discover what messaging and creative approaches resonate with your target audience.

Finding accurate, up-to-date information online can be time-consuming. The Exa skill uses neural search technology to deliver high-quality, relevant web results through simple API calls.

Developers waste hours scrolling through GitHub repositories trying to find relevant issues or solutions. This skill provides structured search strategies, syntax examples, and workflow guides to quickly locate issues, pull requests, discussions, and code examples across any repository.

Understanding tool interfaces is critical for AI agent framework design. This skill analyzes how frameworks model, register, and execute tools with proper error handling. Use it to evaluate schema generation approaches, trace error feedback loops, and compare tool interfaces across frameworks.

Agent frameworks vary widely in error handling and recovery capabilities. This skill provides systematic methods to trace error propagation, evaluate sandboxing effectiveness, and assess production readiness before deployment.

Understanding how agents coordinate is critical for building scalable multi-agent systems. This skill provides frameworks and templates to analyze coordination models, handoff mechanisms, state sharing patterns, and communication protocols in any multi-agent architecture.

Agent frameworks struggle with context overflow and memory management. This skill provides systematic analysis of context assembly, eviction policies, and token budgeting strategies across different implementations.

Understanding how agent frameworks communicate with LLMs is essential for debugging, integration, and building new systems. This skill provides structured analysis methods to examine message formats, tool encoding, streaming mechanics, and multi-provider abstraction patterns.

Understanding how agent frameworks implement reasoning requires tracing complex control flows. This skill provides pattern signatures and extraction methods to identify reasoning topologies like ReAct, Plan-and-Solve, Reflection, and Tree-of-Thoughts from framework source code.

Understanding how existing AI agent frameworks work is crucial for building better systems. This skill provides a systematic methodology to analyze framework architectures, extract reusable patterns, and create reference implementations based on best practices from multiple frameworks.

Stop wasting time with random web searches. This skill provides a proven methodology to plan, execute, and synthesize web research efficiently. It breaks complex research into clear steps so you get comprehensive results faster.

Finding relevant research papers across physics, mathematics, computer science, and quantitative biology is time-consuming. This skill provides direct access to the arXiv preprint repository to search and retrieve papers with their titles, abstracts, and links.

Need to find real-time information or code examples for your coding tasks. This skill connects to Exa's search API to retrieve web content and programming context directly from your CLI.