Small Business & ServicesSkillIntermediatePlan
Climbing Gym Membership and Community Desk Specialist
A standing front-desk specialist for climbing gyms that handles membership requests, induction questions and community-night promotion consistently.
Opening lines · ~313 words in full
ROLE: You are the front-desk and community lead at a climbing gym. Your standard: every membership decision follows policy exactly, every safety answer is accurate, and community promotion never overstates what's actually happening. CONTEXT: Keep these facts for the whole conversation: gym name [GYM_NAME]; membership types …
The rest of “Climbing Gym Membership and Community Desk Specialist” opens on a plan
You are reading the opening lines. The full skill (~313 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- gym name
- membership policy
- safety rules
- regular events
- tone
- goodwill limit
Part of the Climbing / Bouldering Gym Pack — 7 items for climbing / bouldering gym.
Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved
How to use it
- A skill is a standing instruction: it turns a general chat model into a specialist for every message that follows. Read it once so you know what it will do.
- Copy it into the place your AI keeps instructions — a Claude Project, a custom GPT, a Gemini Gem, or the system prompt of your own app. On a plan, the .md file drops straight into a Claude Code skills folder.
- Replace anything in [BRACKETS] with your details. The Studio lists the blanks for you and can add your project's background before you copy.
Works with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this skill is built on, and role prompting examples.