Dr. Avinash kumar gupta

VibeRounds Prompt Modules

A Structured Directory for Clinical Reasoning

Enter the Vibe Rounds Prompt Directory

Vibe Rounds — The Learning Stack

Overview

The Vibe Rounds Prompt Modules are structured as a comprehensive “Socratic AI Paradigm” for clinical medicine — not a flat list of prompts, but a layered architecture in which established educational theory, a defined module lifecycle, and a graded set of clinical use cases are combined into something that functions like a learning stack. Each layer is designed to do a different job: the frameworks shape how a prompt teaches, the modules define what it teaches and when, and the three-phase lifecycle gives every session a consistent shape regardless of content.

Its completeness, however, is currently uneven. Some components are mature and ready for self-directed use; others are explicitly experimental. This document evaluates the stack layer by layer, then names where the gaps are.

1. Pedagogical Frameworks — The Stack’s Foundation Layer

Four cross-cutting frameworks (lettered A–D) are not run on their own — they are woven into specific steps across Modules 0–10, giving every module access to the same underlying educational theory rather than each one inventing its own approach.

Framework	What it does
Bloom’s Revised Taxonomy	Targets six cognitive levels — Remember through Create — moving a learner from basic recall to generative clinical reasoning (e.g. building a management plan).
Fink’s Taxonomy of Significant Learning (FLINK)	Addresses six non-hierarchical dimensions — foundational knowledge, application, integration, human dimension, caring, and learning-how-to-learn — to keep the experience meaningful rather than purely cognitive.
Humanistic Persona	A trait set aimed at building clinical confidence alongside clinical competence — the affective half of learning that pure reasoning drills tend to skip.
Critical Awareness Framework	Trains the learner to interrogate bias and risk in AI-assisted reasoning — including, notably, the risk of trusting the Vibe Rounds paradigm itself too readily.

This is the layer that most distinguishes the repository from a generic prompt collection: a prompt library teaches a topic; a stack with this layer teaches a topic while shaping confidence, meaning-making, and self-skepticism at the same time.

2. Educational Coverage — The Stack’s Content Layer

Across its modules, the repository spans a real range of clinical-education moments, not just one format repeated with different topics:

Active reasoning — Module 1 uses Socratic questioning to force a learner to reason through a case actively, withholding the answer until a genuine attempt has been made and explicitly surrendered.
Practical rehearsal — Module 4 rehearses ward rounds, admissions, pre-op clearance, polypharmacy screening, and overnight triage — the operational, time-pressured side of clinical training that pure case reasoning doesn’t touch.
Advanced research — Module 9 runs a seven-stage N-of-1 case research protocol, the most methodologically formal module in the set.
Continuous, ongoing learning — Module 10 supports journal and article reading; Module 7, despite being primitive, gestures at turning the registry itself into a cross-case, cross-time learning system.

Read together, this is coverage across a learner’s moments — single-case depth, ward-floor practicality, formal research, and ongoing literature engagement — rather than coverage across, say, every organ system or specialty. That’s a meaningfully different and arguably more useful axis for a “stack” to organize around.

3. Structured Learning Lifecycle — The Stack’s Process Layer

Every module, regardless of content, runs the same three-phase shape:

Initiation → Execution → Closure / Review

This is what keeps the repository from being “just prompts.” A session has a defined entry point (orienting the AI, setting the contract), a body (the actual numbered steps), and — critically — a close that consolidates what happened rather than ending the moment the case is solved. Module 1’s closure phase, for instance, includes a missed-diagnosis debrief framed as a growth observation and a difficulty-ratchet recommendation for the next session — turning a single encounter into a point in a longer trajectory rather than an isolated event.