vibe-coding
Optimize for high-velocity, intent-driven development using agentic workflows, MCP servers, and AI-native stacks.
Optimize for high-velocity, intent-driven development using agentic workflows, MCP servers, and AI-native stacks.
Nuanced multi-skill orchestration patterns combining debugging, TDD, parallel agents, and root-cause tracing for complex software development
gRPC client development patterns for Braiins OS miners - connection pooling, retry logic, stream handling, and error recovery
Discovers and finds connection details for Model Context Protocol (MCP) servers through research and documentation
Buenas prácticas y patrones de desarrollo Python para el proyecto MCP. Incluye estándares de código, patrones arquitectónicos, y convenciones.
Recall and reuse prior decisions, constraints, and artifacts using MCP memory (e.g., Neo4j). Use when the user references past work (“jak ostatnio”, “kontynuuj”), when resuming a project thread, or when a repeated topic suggests existing decisions.
Guides implementation of new MCP tools from specification to production-ready code, following the braiins-pool-mcp-server architecture patterns and best practices defined in ARCHITECTURE.md.
Master third-party API integration in ANY language with best practices and patterns. Use when connecting to external services, handling OAuth, or implementing webhooks.
Systematic debugging approach for ANY codebase, ANY language, ANY bug type
Guide for creating MCP (Model Context Protocol) tools for Spine domains. Covers tool naming, parameter patterns, session context, error handling, and testing.
FastMCP agent-to-agent communication system with messaging, file reservations, and multi-repo coordination
Guide developers through Intility's production go-live checklist for MCP servers, ensuring security compliance with the lethal trifecta rules, Intility Software Engineering Policy, and infrastructure requirements. Use when a developer is ready to deploy an MCP server to production.
Proactively detect and execute code refactoring to maintain DDD architecture and code quality. Triggers: RF, refactor, 重構, 拆分, split, 模組化, modularize, 太長, cleanup, 整理, clean, 優化, optimize, extract, 提取, simplify, 簡化, 複雜度, complexity, 重組, reorganize, 改善, improve.
Orchestrate parallel debugging agents with root-cause tracing for multi-failure scenarios
Local mirror of Microsoft AL Guidelines (alguidelines.dev) for searching agentic coding rules, vibe-coding standards, AL best practices, and community resources. Use when: (1) Writing or reviewing AL code and need naming conventions, code style, or formatting rules, (2) Implementing event subscribers, error handling, or performance patterns, (3) Setting up AI-assisted development with Claude/Copilot/Cursor agent configurations, (4) Looking for MCP server integrations (AL-ObjID, BC-Code-Intel, NAB), (5) Understanding classic NAV/BC patterns like Document, Journal, Hooks, or Master Data. Content includes: vibe-coding-rules/ (7 AL-specific rule files), BestPractices/ (~27 topics), patterns/ (facade, template-method, event-bridge), NAVPatterns/ (~50+ classic patterns), and CommunityResources/ (agent configs, MCP tools).
Systematic debugging approach for ANY codebase, ANY language, ANY bug type
Ensure code follows DDD architecture and DAL separation for both frontend and backend. Triggers: DDD, arch, 架構, 新功能, 新模組, new feature, scaffold, 骨架, domain, layer, 分層, structure, 結構, backend, frontend, React, Vue, Python, TypeScript, 前端, 後端, component, 元件.
레이어 아키텍트. 기능을 헥사고날 레이어에 매핑. 기존 코드 영향도 분석. 수정 vs 신규 판단 (TDD vs Doc-Driven 분기). Serena MCP 검색 활용. /plan 명령 시 자동 활성화. 구현 순서 및 전략 결정.