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Analyze a Figma file and turn its pages, screens, components, instances, and design tokens—shared design values—into an interactive graph. Open the dashboard to explore the file's structure and relationships.
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Turn a structured LLM wiki into an interactive knowledge graph. It maps articles, topics, and sources, then adds entities and inferred relationships to help readers explore connections beyond the wiki’s explicit links.
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Explore design ideas with three to five distinct rough options using wireframes, simple screen layouts, and storyboards. Compare structure and flow, then develop selected options while keeping earlier rounds available for reference.
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Find and install Codex skills from a curated catalog or a GitHub path. Check which skills are already installed, explore experimental options, and add skills from private repositories when credentials are available.
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Combine laboratory animal welfare measurements into reference-relative RELSA severity scores. Analyze individual trajectories, explore forecasts for specified observation times, and derive candidate score zones, with explicit checks on normalization, reference selection, prediction intervals, and evaluation limits.
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Analyze existing evolutionary trees and other hierarchical trees with ETE 4. Edit branches, add annotations, compare branching structures, explore large trees interactively, and render figures for publication using the appropriate optional visualization components.
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Review AWS spending and identify savings through resource sizing, unused resource cleanup, discount commitments, and storage policies. It also guides budget alerts and recurring cost reviews so teams can track spending and plan changes using usage data.
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Estimate AWS costs before deployment, analyze spending trends, and investigate metrics and logs with CloudWatch. The skill guides cost reviews, alert setup, and operational improvements through connected tools, with additional integrations for audits and security assessments.
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Explore trends across Google Trends, Instagram, Facebook, YouTube, and TikTok using Apify data collection tools. Get a summary of emerging topics, hashtags, or sounds to guide content planning, with optional CSV or JSON exports.
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Explore unfamiliar code with GitNexus to understand project structure and execution flows. Find related functions, inspect their callers and callees, and read implementation files to explain how a feature works, with repository and index freshness information.
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Track newly launched meme tokens, those nearing exchange migration, and recent migrations. Filter by age, market value, or developer behavior, and explore AI-detected market themes with related tokens ranked by incoming funds.
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Explore a web application as a user to find reproducible bugs and usability problems. Produce a structured report with reproduction steps, screenshots, and videos for interactive issues, giving responsible teams concrete evidence to investigate.
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Design courses where learners explore ideas by changing parameters, following diagrams, running code, playing games, or inspecting 3D scenes. Each main page focuses on one mechanism or structure, with opening and closing pages framing the learning.
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Explore a website with Playwright MCP by interacting with three to five key features or user flows. Document actions, interface elements and how to locate them, then generate test cases from the findings.
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Explore the context-matic MCP server through an interactive tour. Discover available APIs, choose one, and review authentication, data structures, and example calls in your project's programming language, with guidance matched to the SDK version.
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Analyze AWS infrastructure definitions, deployed resources, usage metrics, and actual costs to identify savings opportunities. Rank recommendations by savings, risk, and effort, then create individual GitHub issues and a coordinating issue after approval.
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Investigate process hollowing, where malicious code replaces a legitimate process in memory. Compare memory with disk files, examine process relationships, and correlate network activity to document suspicious processes and guide containment.
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Investigate malicious code placed inside legitimate Windows processes using memory analysis, event logs, and API monitoring. Identify injection methods, examine extracted code, and produce evidence reports and detection rules for suspicious process behavior.
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Analyze Windows Amcache records to investigate applications, deleted executable traces, and drivers. Extract file details, compare SHA-1 hashes with malware databases, and combine records into a timeline to support incident investigations.
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Explore an unfamiliar codebase using a graph of code relationships. Inspect its structure, find functions and classes, trace calls and imports, follow execution paths, and locate large functions for closer investigation.
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Explore product problems, generate alternative solutions, and challenge the assumptions behind an idea through conversation. It helps product managers compare directions, identify weak points, and choose questions or experiments to investigate before committing to development.
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Combine code from local directories or GitHub into one structured file for AI analysis. Examine project structure, search for related code, and check estimated tokens, the units AI models use to process text.
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Inspect database connections and table structures configured in DBX, run read-only queries with row and time limits, and generate schema documentation or DBML, a text format for describing database structures.
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Explore three to five ways to earn revenue from a product or feature. Compare customer fit, estimated costs and returns, and risks, then design low-cost experiments and prioritize which approaches to test first.
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