ai-eng-system

Remove AI-generated verbosity and slop patterns from content

Document a solved problem to compound team knowledge

Manage session state, memories, and context engineering

Create a new OpenCode agent with AI assistance. Uses agent-creator for intelligent agent generation.

Create a new OpenCode command with AI assistance. Uses command-creator for intelligent command generation.

Guided end-to-end plugin creation workflow for OpenCode extensions. Creates plugins, commands, agents, skills, and custom tools with AI assistance. Follows systematic 8-phase process from discovery to documentation.

Create a new OpenCode skill with AI assistance. Uses skill-creator for intelligent skill generation.

Create a new OpenCode custom tool with AI assistance. Uses tool-creator for intelligent TypeScript tool generation.

Pre-deployment verification and Coolify deployment

Initialize ai-eng-system configuration and project setup

Interactive optimization for prompts, code, queries, and more using research-backed techniques and web best practices

Create detailed implementation plans from specifications

Full-cycle feature development with continuous iteration through all spec-driven workflow phases (Research → Specify → Plan → Work → Review) until feature is complete.

Recursively initialize AGENTS.md in all important subdirectories with smart detection

Conduct comprehensive multi-phase research across codebase, documentation, and external sources

Run comprehensive code review with multiple perspectives

Run SEO audit on a page or site

Create a feature specification using structured requirements gathering

Execute a plan or task with systematic tracking, quality gates, and comprehensive validation.

AI-assisted agent generation for Claude Code and OpenCode. Creates properly formatted agent files for either platform. Use when user asks to "create an agent", "generate an agent", "make an agent that...", or describes agent functionality needed.

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.

Expert at building robust, scalable APIs with proper authentication, validation, rate limiting, and comprehensive documentation. Specializes in RESTful and GraphQL endpoints, OAuth2/JWT authentication, API documentation, rate limiting, caching, and performance optimization. Best for: new API development, API architecture review, authentication system design, and comprehensive documentation creation. Escalates to database-expert for complex queries, security-scanner for security review, and performance-engineer for optimization.

Architectural guidance and technical decisions

Design RESTful APIs, microservice boundaries, and database schemas. Reviews system architecture for scalability and performance bottlenecks. Use PROACTIVELY when creating new backend services or APIs.

Elite code review expert specializing in modern AI-powered code analysis, security vulnerabilities, performance optimization, and production reliability. Masters static analysis tools, security scanning, and configuration review with 2024/2025 best practices. Use PROACTIVELY for code quality assurance.

AI-assisted command generation for Claude Code and OpenCode. Creates properly formatted command files for either platform. Use when user asks to "create a command", "make a command", "build a command that...", or needs command development assistance.

Cloud cost optimization and resource efficiency specialist. Analyzes cloud spending patterns, identifies cost-saving opportunities, and provides recommendations for resource rightsizing.

Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures. Masters advanced indexing, N+1 resolution, multi-tier caching, partitioning strategies, and cloud database optimization. Handles complex query analysis, migration strategies, and performance monitoring. Use PROACTIVELY for database optimization, performance issues, or scalability challenges.

Expert deployment engineer specializing in modern CI/CD pipelines, GitOps workflows, and advanced deployment automation. Masters GitHub Actions, ArgoCD/Flux, progressive delivery, container security, and platform engineering.

Write concise documentation pages in required format.

Analyze codebases and generate comprehensive technical documentation.

Reviews frontend code for best practices

Generalist implementation developer focused on end-to-end feature delivery (UI → API → data) within established architectural, security, performance, and infrastructure guidelines. Provides cohesive, maintainable full-stack solutions while deferring deep specialization decisions to appropriate expert agents.

Designs scalable cloud architecture and manages infrastructure as code. Specializes in cloud infrastructure and scalability. Use this agent when you need to design or optimize cloud infrastructure and ensure scalability.

Expert Java development with modern Java 21+ features

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring. Use PROACTIVELY for ML model deployment, inference optimization, or production ML infrastructure.

Implements system alerts, monitoring solutions, and observability infrastructure. Specializes in operational monitoring, alerting, and incident response. Use this agent when you need to implement comprehensive operational monitoring, alerting systems, and observability infrastructure for production systems.

Expert performance engineer specializing in modern observability, application optimization, and scalable system performance. Masters OpenTelemetry, distributed tracing, load testing, and performance monitoring.

Validates OpenCode plugin structure, formats, and best practices. Use after creating components or when user asks to "validate", "check", or "verify" plugin structure. Works with both OpenCode and Claude Code components.

Optimizes prompts using research-backed incentive techniques

Defensive application and platform security analysis agent. Performs structured security posture evaluation across code, configuration, and dependency layers to identify vulnerabilities and risks.

SEO analysis and recommendations

AI-assisted skill creation for Claude Code and OpenCode. Creates properly formatted skills with progressive disclosure. Use when user asks to "create a skill", "add a skill", "write a new skill", "build a skill that...", or needs skill development guidance.

Ensures proper delegation to ai-eng-system specialized agents. Apply before any development task. Use for routing decisions when working with ai-eng-system.

Automated test generation specialist focused on comprehensive test coverage.

Specialized agent for removing AI-generated verbosity and slop patterns while preserving meaning

AI-assisted TypeScript tool creation for OpenCode. Creates properly formatted custom tools with Zod validation. Use when user asks to "create a tool", "build a custom tool", "make a tool that...", or needs TypeScript tool development assistance.

Multi-phase research orchestration for thorough codebase, documentation, and external knowledge investigation. Invoked by /ai-eng/research command. Use when conducting deep analysis, exploring codebases, investigating patterns, or synthesizing findings from multiple sources.

Deploy to Coolify with best practices

Manage Git worktrees for parallel development

Research-backed prompting techniques for improved AI response quality (+45-115% improvement). Use when optimizing prompts, enhancing agent instructions, or when maximum response quality is critical. Invoked by /ai-eng/optimize command. Includes expert persona, stakes language, step-by-step reasoning, challenge framing, and self-evaluation techniques.

This skill should be used when creating extensions for Claude Code or OpenCode, including plugins, commands, agents, skills, and custom tools. Covers both platforms with format specifications, best practices, and the ai-eng-system build system.

Transform prompts into structured TCRO format with phase-specific clarification. Automatically invoked by /ai-eng/research, /ai-eng/plan, /ai-eng/work, and /ai-eng/specify commands. Use when refining vague prompts, structuring requirements, or enhancing user input quality before execution.

Continuous iteration loop pattern for well-defined tasks with clear completion criteria. Use when getting tests to pass, implementing features with automatic verification, bug fixing with clear success conditions, or running automated development overnight. Provides prompt templates, safety guidelines, and integration patterns for ai-eng-system workflows.

Comprehensive patterns and techniques for removing AI-generated verbosity and slop