atxp
Equip autonomous agents with a funded wallet, identity, and paid API tools for search, generative AI media creation, messaging, and remote communication.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
466 skills found
Equip autonomous agents with a funded wallet, identity, and paid API tools for search, generative AI media creation, messaging, and remote communication.
Production-ready scaffolding for React 19 projects using Vite, TypeScript, Biome, and Vitest. Provides strict configuration, linting, formatting, and testing infrastructure.
Provides comprehensive knowledge on Zed Editor and the Agent Client Protocol (ACP), including AI agent integration, performance tuning, and configuration for professional development workflows.
Detects timing side-channel vulnerabilities in cryptographic code through static and dynamic analysis across multiple programming languages.
Generate hierarchical, token-efficient AGENTS.md files for AI coding agents to provide repository-wide context and project-specific guidelines.
Automate Kubernetes GitOps workflows with ArgoCD, Helm, and Kustomize. Manage multi-environment deployments, infrastructure as code, and CI/CD pipelines efficiently.
Weekly engineering retrospective tool that analyzes commit history, coding patterns, and quality metrics with automated session detection and trend tracking.
Build modular FastAPI applications using Clean Architecture, including domain-driven design, dependency injection, repository patterns, and testing strategies for scalable Python backend services.
Review Hyperlane documentation changes against project standards, ensuring compliance with architectural patterns and content guidelines.
Streamline your codebase by automatically removing redundant or obvious comments while preserving essential architectural and logic-focused documentation.
A framework for building modular AI agent rigs using Nix, featuring parametrable skills, knowledge management, and automated tool configuration.
Master the EARS format to transform ambiguous feature ideas into precise, testable requirements, acceptance criteria, and edge case documentation.