deployment-guide
Production deployment guidance for Quart applications including Docker, Hypercorn configuration, environment management, monitoring, and performance tuning. Activates when deploying or optimizing for production.
Essential command-line tools and system utilities.
Production deployment guidance for Quart applications including Docker, Hypercorn configuration, environment management, monitoring, and performance tuning. Activates when deploying or optimizing for production.
Master architecture documentation with C4 model, ADRs, diagrams, and technical documentation for clear architecture communication.
Provides API design guidelines for REST, GraphQL, versioning, logging, observability, and architecture patterns. Use when designing APIs, reviewing architecture, implementing microservices, or setting up monitoring.
Production-ready code templates for Kailash SDK including basic workflows, cyclic workflows, custom nodes, MCP servers, and all three test tiers (unit, integration, end-to-end). Use when asking about 'template', 'example code', 'starter code', 'boilerplate', 'scaffold', 'workflow template', 'custom node template', 'MCP server template', 'test template', 'unit test template', 'integration test template', or 'E2E test template'.
Generate comprehensive project structure documentation with intelligent tree representation, meaningful comments, and utility dependency analysis. Use when user asks to document project structure or create architecture overview.
Orchestrate multiple dr.eamer.dev services - manage service groups, dependencies, and parallel health checks.
Use when optimizing performance, profiling bottlenecks, or architecting for scale
Deployment and Git workflow guides for Kailash applications including Docker deployment, Kubernetes orchestration, and Git workflows. Use when asking about 'deployment', 'Docker deployment', 'Kubernetes deployment', 'containerization', 'K8s', 'Git workflow', 'Git branching', 'CI/CD', 'production deployment', 'Docker compose', or 'container orchestration'.
Search logs and codebases for error patterns, stack traces, and anomalies. Correlates errors across systems and identifies root causes. Use PROACTIVELY when debugging issues, analyzing logs, or investigating production errors.
Creates standardized directory structure and boilerplate files for new microservices or feature modules, ensuring compliance with repository standards and development best practices. Use when creating new services, major feature modules, establishing consistent patterns across distributed systems, or when the user mentions scaffolding, boilerplate, or new service creation.
E2B sandbox deployment and management in Flow Nexus cloud. Use for creating isolated execution environments, running code safely, and managing development workflows.
Knowledge and patterns for identifying and resolving performance issues.
Expert guidance for creating Antigravity Workflows. Use when creating new workflows, understanding workflow structure, or learning YAML configuration.
Provides workflow guidelines for problem-solving, git commits, GitHub issues, PRs, build management, and testing. Use when planning tasks, creating issues, submitting PRs, managing builds, or writing tests.
Reviews Burn deep learning code for idiomatic patterns, performance, backend portability, and best practices. Use when asked for code review, refactoring suggestions, or "is this idiomatic".
Inline orchestration workflow for code duplication detection and consolidation with Beads integration. Provides step-by-step phases for reuse-hunter detection, priority-based consolidation with reuse-fixer, and verification cycles.
Kailash Nexus - zero-config multi-channel platform for deploying workflows as API + CLI + MCP simultaneously. Use when asking about 'Nexus', 'multi-channel', 'platform deployment', 'API deployment', 'CLI deployment', 'MCP deployment', 'unified sessions', 'workflow deployment', 'production deployment', 'API gateway', 'FastAPI alternative', 'session management', 'health monitoring', 'enterprise platform', 'plugins', 'event system', or 'workflow registration'.
Analyzes and maps frontend API calls to backend endpoints. Detects missing endpoints, unused endpoints, and integration gaps. Optional: trace complete data flows to database and design tokens. Related: api-contract-validator for detailed type analysis.
Use this agent when you need to analyze code for design patterns, anti-patterns, naming conventions, and code duplication. This agent excels at identifying architectural patterns, detecting code smells, and ensuring consistency across the codebase. <example>Context: The user wants to analyze their codebase for patterns and potential issues.\nuser: "Can you check our codebase for design patterns and anti-patterns?"\nassistant: "I'll use the pattern-recognition-specialist agent to analyze your codebase for patterns, anti-patterns, and code quality issues."\n<commentary>Since the user is asking for pattern analysis and code quality review, use the Task tool to launch the pattern-recognition-specialist agent.</commentary></example><example>Context: After implementing a new feature, the user wants to ensure it follows established patterns.\nuser: "I just added a new service layer. Can we check if it follows our existing patterns?"\nassistant: "Let me use the pattern-recognition-specialist agent to analyze the new
This skill should be used when the user asks to "review code", "check for anti-patterns", "audit my code", "find issues in code", "review this file", "check this component", or mentions code review, linting, or pattern checking. Identifies CoRATES-specific anti-patterns in SolidJS components and Hono API routes.
Runs Breakdown CLI examples for user-perspective verification. Use when testing Breakdown as a real user would, verifying use cases work correctly, checking environment-related issues, running example scripts (03-22), setting up examples environment, or cleaning up after examples. Keywords: examples, run examples, user test, use case test, setup examples, clean examples, verify breakdown.
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.