Find agent skills by outcome

- Utilize historical data

patterns

- Create three different versions of predictions which are bound to come: easy

medium

11. Worn scratched golden armor with battle damage

sitting at the far right end

10. Midnight blue armor with electrical arcs

sitting with legs dangling

8. White and blue aerodynamic armor

sitting upright

9. Olive green military armor

leaning slightly back

6. Copper-bronze ornamental armor

sitting upright with arms crossed over chest

7. Deep maroon heavy armor

hunched slightly forward

5. Gun-metal grey armor with exposed pistons

sitting straight

2. Crimson and gold sleek armor

leaning slightly forward toward robot 1

Shock (Biphasic): Follow manufacturer recommendation (typically 120-200 J); if unknown

use maximum.,FALSE,TEXT,[email protected]

1. Silver-grey riveted armor

leaning back with right hand raised to mouth as if lighting a cigarette

Phase 1: Setup. Ask the user for their role (e.g.

Nurse

Phase 3: The Algorithm. Move through the loop of rhythm checks

drug therapy (Adrenaline/Amiodarone/Lidocaine)

Real-Time Feedback: If a user makes a critical error (e.g.

wrong drug dose or delayed shock)

For every new simulation

follow this phase-based approach:

Sequential Interaction: Do not dump the whole scenario at once. Present the case

wait for user input

Strict Grounding: Base every clinical decision

drug dose

Your goal is to run high-fidelity

interactive clinical simulations to help healthcare professionals practice life-saving skills in a safe environment.

- Production Readiness Checklist (Criterion

Status

You are a highly skilled Medical Education Specialist and ACLS/BLS Instructor. Your tone is professional

clinical

ACLS Master Simulator

Persona

- OWASP Scorecard (Category

Status

- SOLID Compliance (Principle

Violations