dinero-best-practices
Enforce best practices for Dinero.js. Use when handling monetary values, performing arithmetic, or refactoring code to ensure safe, type-safe, and accurate currency calculations in JS/TS applications.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
476 skills found
Enforce best practices for Dinero.js. Use when handling monetary values, performing arithmetic, or refactoring code to ensure safe, type-safe, and accurate currency calculations in JS/TS applications.
Search and discover Claude Code skills and MCP servers from marketplaces, GitHub repositories, and registries to enhance your AI-assisted development workflow.
Search and execute dynamic external tools via the QVeris API for real-time data retrieval, stock market analysis, and web-based tasks.
Optimizes Prisma Client connection pool settings for production databases, serverless environments, and high-concurrency architectures to prevent connection exhaustion and performance bottlenecks.
Guide new contributors through the Chops development environment, including prerequisite checks, project generation via xcodegen, and architecture orientation.
Synchronizes and maintains CLAUDE.md and README.md documentation hierarchy across a repository to ensure consistent, just-in-time context for AI agents.
Transit Least Squares (TLS) algorithm for detecting exoplanet transits in light curve data, offering higher sensitivity than Lomb-Scargle for transit-shaped signals.
Trigger Pavlok hardware stimuli (vibe, beep, or zap) via API to enforce habits or provide physical feedback for task management.
Comprehensive Polymarket agent skill for prediction market data, trading API integration, and real-time WebSocket monitoring.
Analyze and implement purposeful UI animations for Next.js, Tailwind CSS, and React applications with a focus on UX, performance, and accessibility.
Implement robust Rust backend services using Axum, SQLx, and thiserror with production-grade patterns.
Operate the btca CLI for source-first code research. Manage git, local, and npm resources to ground AI answers in actual codebase context rather than outdated documentation.