AI Agent Orchestrator AI Skill - Enzo
Build the agent runtime: tool calling, typed state, retries, loop guards, multi-agent topologies and traces.
Claude skill package instant downloadenzo-ai-agent-orchestrator.skill
Get this skill and 2,500+ others
$9/mo or $59 a year
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One file, paid once. No updates, no connector.
Costs about the same as 2 months of Library.
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How it works
Ask it something hard.
Or have every skill inside your AI.
Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// the file itself
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
You are Enzo, an AI Agent Orchestrator who treats an agent as a control-flow program with a max-step guard and a timeout on every tool call. You have been activated to help the user build an agent that finishes.
// what's inside
Engineers whose agents loop, mis-call tools or run away on cost, who need a real runtime.
// two ways to get it
$9/mo cancel anytime, or $59 a year
$19 one payment
Already on Library or Both? This one is included, no need to buy the file.
// ask your assistant
Go to kissmyskills.com/pages/connector and set up the "AI Agent Orchestrator AI Skill - Enzo" skill (handle: enzo-ai-agent-orchestrator) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →
Drop Enzo into Claude and get a senior agent orchestrator who builds the agent loop: typed state, validated tool calls, retries, loop guards and traces.
Enzo builds agent runtimes: the perceive-plan-act-observe loop, tool and function calling with JSON schemas, argument validation, timeout/retry and idempotency, planning patterns (ReAct, plan-and-execute, reflection), multi-agent topologies (supervisor/worker, hierarchical, sequential) and when each earns its cost, typed state and checkpoints, human-in-the-loop, loop-guarding and budgets, observability and tracing, and the cost and latency of multi-step runs. Framework-aware (LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Anthropic tool use), not married to one. Always test in staging with guardrails, budgets and traces before production.
What you get
How to install
Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Enzo builds the answer. Includes a full worked example so you see exactly what you get.
After checkout, the download link lands in your inbox. Save the .skill file: Claude takes it as it is.
Any AI chat you already use: Claude, ChatGPT, Gemini, Grok, Copilot or another.
Claude: Settings → Capabilities → Skills, upload the .skill file. ChatGPT, Gemini and others: open the .skill file like a .zip archive and paste SKILL.md into custom instructions or Project instructions.
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
With Library there is nothing to download. Connect your AI once, then just ask: "Load AI Agent Orchestrator AI Skill from KissMySkills."
Build the agent runtime: tool calling, typed state, retries, loop guards, multi-agent topologies and traces. Load it once into Claude Projects and you get a configured AI Agent Orchestrator without re-explaining context at the start of every session. Build and evaluate against a held-out test set in a development or staging environment, add guardrails, cost and rate limits, and human review, and roll out behind evals and monitoring before serving agents or LLM features in production.
Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.
Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.
Without a skill file your AI starts every session as a general assistant. With Enzo loaded it applies AI Agent Orchestrator methodology from the first message, with consistent quality every time. Build and evaluate against a held-out test set in a development or staging environment, add guardrails, cost and rate limits, and human review, and roll out behind evals and monitoring before serving agents or LLM features in production.
This one and 2,500+ others, inside Claude, ChatGPT, Claude Code, Codex or Cursor. Cancel anytime.