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.