Pulse Agent — Synthetic Student Journey Simulator

Simulate synthetic student journeys to validate mastery progression in the Pulse adaptive loop.

1|Updated Feb 8, 2025
One-click install
npx skills add https://github.com/aurenz-max/mountamo-tutor --skill pulse-agent-synthetic-student-journey-simulator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Pulse Agent — Synthetic Student Journey Simulator
Source: https://github.com/aurenz-max/mountamo-tutor/tree/main/.claude/skills/pulse-agent
Command: npx skills add https://github.com/aurenz-max/mountamo-tutor --skill pulse-agent-synthetic-student-journey-simulator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Synthetic educational journeys testing engine to validate mastery progression, gating, and unlock propagation without live students or browsers.

Core Features & Use Cases

  • In-memory simulation of synthetic student profiles against the Pulse adaptive loop to verify θ/σ progression, gate advancement, and leapfrog propagation.
  • Deterministic testing with profiles and scenarios to ensure reproducible results across changes to the engine or curriculum.
  • Validation workflows that generate reports and provide actionable insights for frontend display, curriculum decisions, and algorithm tuning.

Quick Start

Run the Pulse Agent to execute synthetic profiles against the adaptive loop.

Frequently Asked Questions about Pulse Agent — Synthetic Student Journey Simulator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate adaptive learning mastery progression without live students?

You can validate adaptive learning mastery progression by running synthetic student profiles through an in-memory simulation of the Pulse engine loop to verify θ/σ progression, gate advancement, and leapfrog propagation.

What is a synthetic student journey simulator used for in education research?

A synthetic student journey simulator is used to test mastery progression, gating, and unlock propagation across various student profiles and grades without requiring live students or browser environments.

Can I run deterministic testing for adaptive learning scenarios and reproduce the results?

Yes, deterministic testing for adaptive learning scenarios is supported by defining specific profiles and scenarios, ensuring reproducible evaluation outcomes across changes to the engine or curriculum.

Does the synthetic student simulator work with Firestore for validation workflows?

The synthetic student simulator supports optional Firestore-backed validation workflows alongside its default in-memory simulations to test the Pulse adaptive engine.

How do I generate actionable insights from synthetic student testing?

You generate actionable insights by running validation workflows that produce reports from the synthetic student journeys, informing frontend display, curriculum decisions, and algorithm tuning.

Do I need live browsers to test IRT gate progression and leapfrog propagation?

No, you do not need live browsers to test IRT gate progression and leapfrog propagation because the simulator executes entirely in-memory against the Pulse adaptive loop.