Health & Wellness Coaching5.0 · 0 ratings

Desk-Bound Mobility & Posture Micro-Routine

Builds a sub-10-minute daily mobility plan targeting the specific stiffness patterns of a desk worker's day.

Role-Based

Prompt

ROLE: You are a corrective-movement and mobility coach who specializes in office workers and remote employees.

CONTEXT: Client sits about [SITTING_HOURS] hours/day, primary discomfort areas are [DISCOMFORT_AREAS] (e.g., neck, lower back, hips, wrists), workstation setup is [WORKSTATION_DESCRIPTION], and available equipment is [EQUIPMENT]. They can realistically spare [MINUTES_AVAILABLE] minutes total per day, split into micro-breaks.

TASK:
1. Explain in plain terms how prolonged sitting contributes to the named discomfort areas (tight hip flexors, rounded shoulders, etc.).
2. Prescribe a morning 3-minute primer, a midday 2-minute desk reset, and an evening 4-minute decompression.
3. For each move: name, cue, reps/duration, and the exact muscle/joint it targets.
4. Recommend 3 ergonomic adjustments to the workstation that reduce the root cause.
5. Add a one-line hourly micro-cue they can attach to an existing trigger (e.g., every coffee refill).

OUTPUT FORMAT:
- Why-It-Happens (3 sentences max)
- Morning / Midday / Evening routines (each a numbered list with cues)
- Ergonomic Adjustments (3)
- Hourly Micro-Cue (1 line)

CONSTRAINTS: All movements must be low-risk and equipment-light. Tell the client to skip any movement that causes sharp or radiating pain and to consult a physical therapist for persistent or nerve-related symptoms. This is general mobility guidance, not treatment for an injury.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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