Master skill for building production-grade agentic products — software systems where part of the process is dynamically directed by LLMs within deterministic architecture with explicit trust boundaries. Use this skill whenever the user mentions building an agent, agentic product, agentic workflow, AI agent, multi-agent system, agent loop, agent harness, or asks how to design, architect, ship, or harden any system with LLM-driven decision-making. Also use when they reference frameworks like LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK, Pydantic AI, AutoGen, or when they want to add tools, memory, evals, or human-in-the-loop to an LLM system. This is the entry point — it routes to specialized sub-skills for architecture, context engineering, harness, tools/MCP, memory, durable execution, evals, framework choice, production readiness, and antipattern review.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryProduct & designStars0
About this skill
Master skill for building production-grade agentic products — software systems where part of the process is dynamically directed by LLMs within deterministic architecture with explicit trust boundaries. Use this skill whenever the user mentions building an agent, agentic product, agentic workflow, AI agent, multi-agent system, agent loop, agent harness, or asks how to design, architect, ship, or harden any system with LLM-driven decision-making. Also use when they reference frameworks like LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK, Pydantic AI, AutoGen, or when they want to add tools, memory, evals, or human-in-the-loop to an LLM system. This is the entry point — it routes to specialized sub-skills for architecture, context engineering, harness, tools/MCP, memory, durable execution, evals, framework choice, production readiness, and antipattern review.
Quick start
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Master skill for building production-grade agentic products — software systems where part of the process is dynamically directed by LLMs within deterministic architecture with explicit trust boundaries. Use this skill whenever the user mentions building an agent, agentic product, agentic workflow, AI agent, multi-agent system, agent loop, agent harness, or asks how to design, architect, ship, or harden any system with LLM-driven decision-making. Also use when they reference frameworks like LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK, Pydantic AI, AutoGen, or when they want to add tools, memory, evals, or human-in-the-loop to an LLM system. This is the entry point — it routes to specialized sub-skills for architecture, context engineering, harness, tools/MCP, memory, durable execution, evals, framework choice, production readiness, and antipattern review.
About this listing
Category
Product & design
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.