Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
224 skills found
Handles large-scale tasks by automatically breaking them down into manageable, recursive sub-tasks to overcome context window limits and improve reasoning accuracy on large codebases and document sets.
Quick reference for pipe and flow in fp-ts. Use to chain functions, compose operations, or build clean, readable data pipelines in functional TypeScript code.
Master Material Design 3 and Jetpack Compose for native Android UI development. Build adaptive, accessible interfaces using Google's latest standards.
Maintain test suite health by automatically detecting orphaned tests, missing coverage, and implementation-coupled anti-patterns.
Integration patterns and best practices for TanStack Query, Router, and Start. Ensures type-safe data flow, efficient SSR, and unified caching.
Multi-phase feature development workflow for complex tasks using research, planning, implementation, and review gates.
A framework for applying Test-Driven Development to process documentation, ensuring agent reliability by using pressure scenarios to identify and patch rationalization loopholes.
Perform comprehensive code reviews and generate QA test plans for Storyblok projects, ensuring quality, security, and adherence to best practices.
Collaborative PR review using a swarm of three specialized AI agents (Correctness, Health, UX) that discuss findings and reach consensus before posting a structured summary with inline comments.
Production-ready Go development support: concurrency patterns, idiomatic error handling, interface design, testing with testify, and Go best practices for scalable backend services.
Audit and optimize SwiftUI runtime performance. Diagnose slow rendering, janky scrolling, high resource usage, and layout thrash with code review, architecture analysis, and Instruments profiling guidance.
Mutation testing patterns for JS/TS using Stryker. Analyze branch code to find weak or missing tests, verify test effectiveness, and strengthen Node.js test suites.