Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows,...
Iterative planning with Planner, Architect, and Critic until consensus
This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent...
Run a comprehensive code review
Run a comprehensive security review on code
Browser automation powers web testing, scraping, and AI agent interactions. The difference between a flaky script and a reliable system comes down to understanding selectors, waiting strategies,...
Browser automation powers web testing, scraping, and AI agent interactions. The difference between a flaky script and a reliable system comes down to understanding selectors, waiting strategies,...
This skill should be used when the user asks to "start an LLM project", "design batch pipeline", "evaluate task-model fit", "structure agent project", or mentions pipeline architecture,...
Use when starting significant features, epics, or complex tasks. Creates multi-phase implementation plans with parallelizable phases, poker estimates, TDD-first acceptance criteria, and quality...
Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows,...
Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG,...
Use when user wants to execute long-running tasks that require multiple sessions to complete. This skill manages task decomposition, progress tracking, and autonomous execution using Claude Code...
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Develop agentic software and multi-agent systems using Google ADK in Python
Kubernetes node autoscaling and cost optimization with Karpenter. Use when implementing node provisioning, spot instance management, cluster right-sizing, node consolidation, or reducing compute...
Senior Multi-Agent Systems (MAS) Architect for 2026. Specialized in Model Context Protocol (MCP) orchestration, Agent-to-Agent (A2A) communication, and recursive delegation frameworks. Expert in...
Creates and manages Infrastructure as Code using Terraform/OpenTofu for cloud resource provisioning, module development, state management, and multi-environment deployments. Trigger keywords:...
acapro-agent-constitution/ β βββ README.md βββ 01_PLATFORM_CONSTITUTION.md βββ 02_ARCHITECTURE_OVERVIEW.md βββ 03_AGENT_SYSTEM.md βββ 04_SKILL_REGISTRY.md βββ 05_DECISION_ENGINE.md βββ...
Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration
Self-referential loop until task completion with architect verification