cognitive-load

Explain cognitive overload as felt breakdown using scenario-based diagnostics.

1|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/wojons/je-ne-sais-quoi --skill cognitive-load-wojons
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cognitive-load
Source: https://github.com/wojons/je-ne-sais-quoi/tree/main/skills/cognitive-load
Command: npx skills add https://github.com/wojons/je-ne-sais-quoi --skill cognitive-load-wojons

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) and references (resource) components.

What problem does it solve?

It helps an AI distinguish between the measured “load” of cognitive science and the felt experience of carrying too many obligations—especially the phase-change moment when one more thing breaks coherence.

Core Features & Use Cases

  • Teaches the felt mechanics of overload: how too many “things” becomes a destabilizing network of relationships, spaces, and attention.
  • Explains thresholds through lived tests: why the sixth request, interruption, small mistake, or benign question can trigger collapse.
  • Creates actionable recognition without prescribing: identifies why hollow explanations (metrics-first, solution-first) fail to resonate, so responses match the human experience.

Quick Start

Use the cognitive-load skill when you need the AI to describe what overwhelm feels like and why small, “simple” requests can cause disproportionate breakage.

Frequently Asked Questions about cognitive-load

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

FAQPage Schema
What is the felt experience of cognitive overload and how does it differ from capacity metrics?

Cognitive overload as a felt experience involves the destabilizing collapse of relational coherence and attention networks, contrasting with capacity metrics by mapping overwhelm to lived weight rather than quantitative math.

Why does one more small request trigger a sudden collapse during context switching and decision fatigue?

A small additional request triggers collapse because context switching and decision fatigue push obligations past a phase-change threshold, breaking the relational network of attention and causing disproportionate breakage.

How do I explain mental overwhelm using scenario-based diagnostics instead of capacity math?

Explain mental overwhelm by applying scenario-based diagnostics that contrast hollow, metrics-first explanations with felt failure modes, mapping overload to relational weight and lost coherence without relying on capacity math.

When should I use scenario-based diagnostics for cognitive overload versus standard metrics?

Use scenario-based diagnostics for cognitive overload when responses must resonate with the human experience of overwhelm, interruptions, and decision fatigue, especially where standard metrics fail to capture felt breakdown.

Why do hollow, solution-first explanations fail to resonate with someone experiencing cognitive overload?

Hollow, solution-first explanations fail because they ignore the felt experience and relational weight of overwhelm, missing the phase-change moment where an additional small demand collapses coherence and destabilizes attention.