Create technical implementation plan from feature specification

Deep analysis debugging mode for complex issues. Activates methodical investigation protocol with evidence gathering, hypothesis testing, and rigorous verification. Use when standard...

Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration

Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration

Master the Amazon Associates affiliate program with commission optimization, link strategies, compliance requirements, and monetization best practices. Use when implementing affiliate marketing,...

Transform AI agents from task-followers into proactive partners. Includes memory architecture, security hardening, self-healing patterns, alignment systems, and the "proactive surprise" mindset....

Expert UI/UX designer specializing in user-centered design, accessibility (WCAG 2.2), design systems, and responsive interfaces. Use when designing web/mobile applications, implementing accessible...

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Activate multi-agent orchestration mode

Interactive feature development workflow from idea to implementation. Creates requirements (EARS format), design documents, and task lists. Triggers: "kiro", ".kiro/specs/", "feature spec",...

Analyze job postings, calculate match scores, identify gaps, and create application strategy

🎯 AI Orchestrator - Ultimate natural language to expert prompt translator. Analyzes intent with UltraThink, routes to specialized agents, and verifies execution. Use for: orchestrate, translate...

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG,...

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG,...

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG,...

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG,...

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG,...

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG,...

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG,...

Manage and trigger pre-built Zapier workflows and MCP tool orchestration.