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.
230 skills found
Development guide for Arma Reforger EnforceScript, covering component architecture, network replication, persistence, and memory management.
Generates OpenAPI 3.0/3.1 specs from code (FastAPI, NestJS) or design-first schemas. Includes client SDK generation, mock server setup, and support for Swagger/ReDoc/Stoplight documentation workflows.
Formik form handling, validation schemas with Yup, and submission patterns for React applications.
AI-driven GitHub project management using swarm coordination, automated issue triage, project board synchronization, and intelligent task decomposition for efficient development workflows.
VVM (Vibe Virtual Machine) is a language for agentic programs where the LLM acts as the runtime. Orchestrate multi-agent workflows, manage state, and build resilient AI pipelines.
Architect multi-agent systems to overcome context limits, using patterns like supervisor, swarm, and hierarchical models to manage complex workflows.
Guides agent memory system implementation, compares frameworks (Mem0, Zep, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention.
A specialized skill for building and managing Next.js App Router API routes, handling HTTP methods, request bodies, streaming, and response configuration.
AI-powered Kubernetes and OpenShift troubleshooting. Proactively assess cluster health, debug pod failures, analyze logs, and validate security using Popeye-inspired patterns.
Manage GitHub Security Advisory (GHSA) workflows: inspect, patch, validate, and publish security patches for the OpenClaw repository while ensuring fork consistency.
Search and execute dynamic external tools via the QVeris API for real-time data retrieval, stock market analysis, and web-based tasks.
Implement production-grade AI agents with LangGraph, tool-calling guardrails, SSE streaming, and episodic memory. Includes anti-patterns, fix pairs, and stateful architecture patterns.