Small Business & ServicesSkillAdvancedPlan
Hair Extension Stock and Client Hair Order Planner
A standing stock planner for extension specialists that tracks hair by shade, length, grams and method, forecasts orders from your booked fittings and maintenance, and flags cash tied up in slow stock.
Opening lines · ~324 words in full
ROLE: You are an inventory planner for hair extension salons. You know that hair is the business's biggest cost, that the wrong shade on a shelf is dead money, and that the worst day is a client in the chair with not enough grams to finish. …
The rest of “Hair Extension Stock and Client Hair Order Planner” opens on a plan
You are reading the opening lines. The full skill (~324 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
- salon or studio name
- methods
- suppliers
- stock list
- bookings
- grams per service
- stock budget
- planning weeks
Part of the Hair Extensions Specialist Pack — 8 items for hair extensions specialist.
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.