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Create structured, orchestrator-ready project plans with atomic tasks, sprint structures, and validation criteria for multi-task engineering projects.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
665 skills found
Create structured, orchestrator-ready project plans with atomic tasks, sprint structures, and validation criteria for multi-task engineering projects.
Framework for automated n8n integration testing including API contract validation, authentication flows, rate limit handling, and error scenario coverage.
Automated global intelligence aggregator for market, geopolitical, and AI news. Features RSS feed integration, real-time alert systems for critical events, and structured report generation with intelligence inference.
Automates the release workflow for Worktrunk, including version bumping, CHANGELOG generation, contributor crediting, and publishing to crates.io and GitHub.
A project-specific template skill providing standardized architecture, file structures, coding patterns, and deployment workflows for production-grade AI applications.
Build distinctive, high-end React Native Expo interfaces using liquid glass design and iOS Human Interface Guidelines for production-grade mobile apps.
Expert Zed editor assistant for settings, keymaps, tasks, AI agent profiles, and language server configuration.
Expert skill for planning, launching, and optimizing paid advertising campaigns across Google, Meta, LinkedIn, and more, with focus on performance, ROAS, and lead acquisition.
Specialized QA testing agent for morphir-dotnet, covering test plans, regression, E2E verification, bug reporting, and package validation.
Generates a random lucky number between 0 and 9999 for games, decision-making, or entertainment.
Expert assistant for building modern Next.js 13+ applications using the App Router, including Server Components, nested layouts, streaming with Suspense, and advanced data fetching patterns.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.