Explore our collection of Agent Skills to enhance your AI workflow.
Adds structured tasks to a localized Markdown todo list with integrated planning and directory tracking.
Empowers Claude to perform statistical modeling, design experiments, and build predictive machine learning pipelines using Python.
Architects robust task management systems by enforcing standardized entity structures, business rules, and state transition logic.
Writes and refactors high-quality TypeScript and JavaScript code following Metabase coding standards and professional best practices.
Writes and refactors production-grade TypeScript and JavaScript code following standardized coding patterns and professional best practices.
Writes and refactors production-grade TypeScript and JavaScript code following professional coding standards and Metabase best practices.
Architects high-quality mobile interfaces using Expo Router, native components, and modern React Native best practices.
Builds high-performance, viral Telegram Mini Apps with deep TON blockchain integration and native-like UX.
Optimizes Lindy AI API usage by implementing client-side rate limiting, usage monitoring, and smart retry logic.
Generates robust webhook endpoints featuring signature verification, automated retry logic, and payload validation.
Creates distinctive, production-grade frontend interfaces using Astro and Tailwind CSS while avoiding generic AI aesthetics.
Builds a retrieval-optimized knowledge layer over agent documentation to improve AI response speed and context accuracy.
Generates high-quality, animated, and interactive web visuals to illustrate complex concepts, processes, and data within digital content.
Enables natural language task management and conversational todo agents using safe Model Context Protocol (MCP) tool integration.
Architects secure, scalable backends using the full suite of Firebase services including Firestore, Authentication, and Cloud Functions.
Optimizes system performance by identifying and terminating resource-heavy development processes like Next.js, Webpack, and Vite.
Provides a robust framework for building spec-driven CLI applications with full CRUD capabilities in Python 3.13+.
Implements Relude conventions and safe patterns to ensure modern, high-performance, and type-safe Haskell development.
Optimizes iOS application performance using Xcode Instruments, memory debugging tools, and production-ready optimization patterns.
Enforces clear, concise standards for documentation, commit messages, and technical communication within Claude Code.
Integrates Claude Code with Google NotebookLM to provide source-grounded, citation-backed answers directly from your documents.
Designs and implements scalable, loosely coupled event-driven cloud architectures using Kafka, Dapr, and pub/sub patterns.
Generates comprehensive diagnostic bundles and redacted logs to troubleshoot Exa SDK and API integration issues.
Automates image resizing, compression, and format conversion with smart aspect ratio cropping and batch support.
Implements secure Vast.ai webhook integration with automated signature validation and event handling patterns.
Packages and deploys applications to Kubernetes using Dockerfiles, Helm charts, and Minikube for a local-first development workflow.
Empowers AI coding agents to debug runtime behavior through structured logging and queryable telemetry endpoints.
Automates issue reproduction and fix validation to ensure code changes actually resolve targeted bugs and regressions.
Refactors Flask applications into clean, maintainable architectures using industry-standard design patterns and best practices.
Debugs Flask applications systematically using a structured four-phase methodology and specialized tooling.
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