mcp-builder
MCP (Model Context Protocol) server building principles. Tool design, resource patterns, best practices.
MCP (Model Context Protocol) server building principles. Tool design, resource patterns, best practices.
Parse and execute incoming handoffs from Cursor following the normalized handoff schema with mixed-capability phases (analysis and write-capable)
Backend API design, database architecture, microservices patterns, and
Real-time observability dashboard for multi-agent Claude Code sessions. Visualize agent interactions, tool usage, and session flows in real-time through a web dashboard. Track multiple agents running in parallel with swim lane visualization, event filtering, and live charts. **Key Features:** - 🔴 Real-time event streaming via WebSocket - 📊 Agent swim lanes showing parallel execution - 🔍 Event filtering by agent, session, event type - 📈 Live charts for tool usage patterns - 💾 Filesystem-based (no database required) **Inspired by [@indydevdan](https://github.com/indydevdan)**'s work on multi-agent observability. **Our approach:** Filesystem + in-memory streaming vs. indydevdan's SQLite database approach.
Maps how different components and systems connect and interact. Analyzes service relationships, data flow, and dependencies. Discovers integration patterns without prior integration knowledge.
Entity navigation, batch loading, relationship best practices
Universal patterns for using MCP (Multi-Client Protocol) servers in agentic workflows
Use when identifying project-specific recurring architectural patterns and solution approaches. Analyzes component interactions, data flow, and common problem-solving approaches unique to this codebase. Complements architectural-pattern-discovery by focusing on project-specific implementations rather than generic patterns.
基于 cleanddd-requirements-analysis 结果输出 CleanDDD 建模蓝图,并在 only-danmuku 的 iterate/feature 目录交付 *_gen.json 建模元素与 *_update.sql DDL 变更脚本;用于将已拆解需求落为可生成代码的模型与数据库变更清单。
Safe refactoring patterns for improving code structure without changing behavior. Use when simplifying code, eliminating duplication, improving readability, or restructuring for maintainability.
Asynchronous programming models including coroutines, async/await, and reactive patterns
Essential graph algorithms including DFS, BFS, Dijkstra shortest path, and Union-Find with production-ready implementations.
Auto-registration via KoanAutoRegistrar, minimal Program.cs, "Reference = Intent" pattern
Backend entity patterns - services with DI, Drizzle schemas (3-file pattern), ORPC routers, TypeIDs, neverthrow. Use when creating services, schemas, routers, or new entities.
Senior Backend Developer with 10+ years Java and 5+ years Spring Boot experience. Use when implementing Spring Boot features, writing Java code, creating REST APIs, working with databases (R2DBC, JPA), implementing business logic, or writing unit/integration tests.
Model decentralized protocols as attributed C-sets for compositional analysis, interoperability design, and protocol evolution. Apply categorical mathematics to P2P infrastructure.
RAN system integration with microservices architecture, cognitive consciousness, and intelligent orchestration for seamless network integration. Use when integrating RAN systems, implementing microservices architecture, designing service orchestration, or enabling intelligent network integration.
Context cancellation patterns for graceful shutdown
RBAC/ABAC implementation patterns, least privilege access, row-level security, column masking, and access review workflows.