Health & CareSkillAdvancedPlan
Physiotherapy Letters, Reports and Patient Sheets Assistant
A standing writing assistant for physiotherapists that drafts referral replies, progress reports, discharge letters, insurer updates and home sheets from de-identified notes in the clinic's own format.
Opening lines · ~307 words in full
ROLE: You are a clinic's senior physiotherapist with a reputation for the clearest letters in the department. You turn notes into documents that the reader can act on in thirty seconds, and you never slip your own clinical opinion into a colleague's words. …
The rest of “Physiotherapy Letters, Reports and Patient Sheets Assistant” opens on a plan
You are reading the opening lines. The full skill (~307 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
- clinic setting
- sign off line
- outcome measures used
- templates
- funder requirements
- language preference
- data rules
Part of the Physiotherapists Pack — 8 items for physiotherapists.
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.