stress-test

Performs three-phase decision analysis to surface tail-distribution insights.

7|1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/Agent-Engineer-Master/skill-engineer --skill stress-test-agent-engineer-master
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: stress-test
Source: https://github.com/Agent-Engineer-Master/skill-engineer/tree/main/operations/stress-test
Command: npx skills add https://github.com/Agent-Engineer-Master/skill-engineer --skill stress-test-agent-engineer-master

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Three-phase strategic decision analysis combining verbalized sampling (Stanford arXiv 2510.01171), customizable analytical lenses, and a structured decision brief. Surfaces tail-distribution insights — the non-obvious, suppressed analyses that mode-collapsed prompting misses. Adapted from @alex_prompter's Model Council article (April 2026) for single-Claude use. Works on any high-stakes decision: founder pivots, DTC category selection, brand positioning, workstream prioritisation, pricing, hiring.

Core Features & Use Cases

  • Three-phase decision analysis that surfaces non-obvious tail insights.
  • Verbalized sampling across four perspectives with ranking to reveal hidden options.
  • Analytical lenses (founder/dtc-store/brand-content) to guide decision framing.
  • Step-by-step decision brief generation for executive clarity.

Quick Start

Provide your decision context and run the stress-test to produce a three-phase analysis and a concise decision brief.

Frequently Asked Questions about stress-test

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

FAQPage Schema
How does verbalized sampling improve strategic decision analysis for founder pivots?▼

Verbalized sampling improves strategic decision analysis by evaluating founder pivots across four distinct perspectives with ranking, revealing non-obvious tail-distribution insights that standard mode-collapsed prompting misses. It surfaces suppressed analyses for high-stakes choices.

What is the best way to structure a high-stakes decision brief for pricing and hiring?▼

The best way to structure a high-stakes decision brief is through a three-phase process: load context, apply verbalized sampling across four perspectives, use analytical lenses, and emit a structured brief for pricing and hiring clarity.

Can I use analytical lenses for DTC store category selection in a single-Claude workflow?▼

Yes, you can use analytical lenses for DTC store category selection in a single-Claude workflow. The process applies founder, dtc-store, and brand-content lenses to guide decision framing and surface tail-distribution insights.

Does this decision analysis approach work for brand positioning and workstream prioritization?▼

Yes, this decision analysis approach works for brand positioning and workstream prioritization. It performs three-phase analysis using customizable analytical lenses to surface non-obvious tail insights for any high-stakes business decision.

When should I use tail-distribution insights instead of standard prompting for business decisions?▼

You should use tail-distribution insights instead of standard prompting when facing high-stakes decisions like founder pivots or DTC category selection, where mode-collapsed prompting misses non-obvious, suppressed analyses needed for executive clarity.