enforcescript-patterns
Development guide for Arma Reforger EnforceScript, covering component architecture, network replication, persistence, and memory management.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
411 skills found
Development guide for Arma Reforger EnforceScript, covering component architecture, network replication, persistence, and memory management.
Deploy serverless browser automation as cloud functions using Browserbase. Perfect for cron jobs, webhook endpoints, and scalable cloud-based automation tasks.
Teacher-focused student profiling tool: OCR answer sheets, summarize performance, and update student profiles with targeted physics learning goals.
Gate 2 development cycle skill that validates observability implementation, including structured logging, OpenTelemetry tracing, and instrumentation coverage, without modifying code.
Enforce strict code quality, correctness, and Rust design patterns for the Turso database, prioritizing data integrity, performance, and maintainable, idiomatic code.
Initiates automated reverse engineering by discovering codebase architecture, layers, and technology stacks to facilitate system modernization or documentation.
Nuxt framework disambiguation layer for optimizing project development, routing to the correct Nuxt pack, Vue guidance, or module-specific logic.
Framework for building AI agents that persist state across multiple context windows, enabling them to complete complex, multi-day coding tasks without losing progress or context.
Full-stack application orchestrator that analyzes natural language requests to determine tech stacks, scaffold projects, and coordinate specialized development agents.
Manage CI/CD workflows, Docker containerization, and infrastructure configurations for the multi-chain crypto wallet system.
CLI-only iOS development agent for Swift, SwiftUI, and UIKit. Handles the full lifecycle: build, debug, test, and release without Xcode.
Efficiently extract, filter, and transform specific fields from JSON files using jq, saving up to 95% of context window usage compared to reading full files.