Gym Operator — AI skill for Claude Code
AI operator skill for gym owners — sets up a Gym Operations Knowledge Base and runs your recurring gym work grounded in it.
How to install Gym Operator
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open Level-Method/gym-operator and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Gym Operator does
AI operator skill for gym owners — sets up a Gym Operations Knowledge Base and runs your recurring gym work grounded in it. By Level Method.
Alternatives in AI
- Agent Teams AI — You're the boss, agents are your team 2k ★
- RAG Skill — A Skill dedicated to local knowledge base retrieval 712 ★
- Karpathy LLM Wiki — Agent Skills-compatible LLM wiki for Claude Code, Cursor, and Codex 618 ★
README
Gym Operator
An AI operator for gym owners, by [Level Method](https://levelmethod.com).
Point your AI assistant at this repo and it becomes an operator that actually knows **your** gym — your voice, your offers, your goals, your people — instead of giving generic fitness-business advice. It sets up a **Gym Operations Knowledge Base** (plain markdown files, stored wherever you choose, owned by you forever) and then does real recurring work grounded in it.
Why
You already pay for AI. Ask it a blank-chat question and you get decent generic advice — the same advice every other gym gets. The real divide isn't between owners who use AI and owners who don't. It's between asking for occasional help and building something around it that persists.
AI supplies the intelligence. Context makes it relevant. A process makes it repeatable.
This skill supplies the context and the process:
- Your gym, on paper. One folder holds who you are, how you sound, what you sell, what you're chasing this quarter, and how your gym actually runs — plus your logo, photos, and templates (or links to wherever those already live), so drafted posts come paired with the right image. Every answer is grounded in that — and every output quietly shows which of your pages it drew from.
- It compounds. In a normal chat, your corrections die when the conversation ends. Here, every correction and decision is written into the knowledge base, so next week's work starts where last week's left off. Within a couple of sessions the drafts stop sounding like AI and start sounding like you.
- Real work, on a rhythm. Weekly reviews scored against your goal, content batches in your voice, member recognitions, lead follow-up prep, quiet-member check-ins, event promos — each a written procedure, not a lucky prompt.
- You stay the owner. It drafts, preps, and recommends behind the counter. It never posts, sends, or talks to a member — people come to a gym for people.
- **No lock-in, ever.
Related Skills
Vault Organizer
Clean up, organize and index any markdown knowledge base (Obsidian/PARA) with Karpathy's 3-layer LLM-wiki meth
AI Readiness Review
Evaluate whether a new AI coding agent can successfully work on this repository using only the AI Knowledge Ba
Critical Thinking For Humans
A gym for your critical thinking — the AI is the coach, you do the work. Four modes: drill, scene, expedition,
Claude Code To Codex
A comprehensive, field-level mapping between Claude Code and OpenAI Codex for practitioners migrating AI-agent
Docproof
Fact-grounded documents with automated verification: a Python CLI plus AI agents that build, tailor, fact-chec
Rewind Learning
倒带学习法 · Rewind Learning Method — turn every finished AI-collaboration project into 4 lasting teaching artifact
Related Agents
Lesson Distiller
Sole owner of superhuman's durable knowledge base. Seed mode authors a repo architecture dossier grounded in a
Loupe
Design critic for websites and apps. Reviews screenshots, mockups, prototypes and live pages, and generates de
Brace
Support engineer -- ticket workflow design, SLA architecture, knowledge base, escalation paths, and support op