Pattern Recognition

Identify startup risks and second-order effects from business patterns.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/trevorc-ai/PPN-Antigravity-1.0 --skill pattern-recognition-trevorc-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Pattern Recognition
Source: https://github.com/trevorc-ai/PPN-Antigravity-1.0/tree/main/_ARCHIVE/skills_standby/pattern-recognition
Command: npx skills add https://github.com/trevorc-ai/PPN-Antigravity-1.0 --skill pattern-recognition-trevorc-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Pattern Recognition helps founders and advisers quickly surface systemic blind spots and recurring failure modes before they derail a startup.

Core Features & Use Cases

  • Signals-based pattern detection to identify high-risk areas across business models, product strategy, and go-to-market plans.
  • Second-order effects tracking to anticipate how today's decisions constrain tomorrow's options.
  • Guided decision logging and risk mitigation recommendations for immediate action and accountability.

Quick Start

Provide a concise risk-focused advisory summary for the current startup scenario, highlighting pattern signals and second-order effects.

Frequently Asked Questions about Pattern Recognition

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

FAQPage Schema
How do I identify founder blind spots and startup risks early?

To track second-order effects, analyze how today's decisions constrain tomorrow's options by anticipating future constraints, then mitigate these startup risks by logging guided decisions and actionable next steps.

What is the best way to analyze startup failure patterns?

The best way to analyze startup failure patterns is through signals-based detection that identifies recurring failure modes across business models, product strategy, and go-to-market plans to provide concise, actionable guidance.

How do I track second-order effects to anticipate future startup constraints?

To track second-order effects, analyze how today's decisions constrain tomorrow's options by anticipating future constraints, then mitigate these startup risks by logging guided decisions and actionable next steps.

Can I use scenario analysis for risk-mitigation in early-stage startups?

Yes, you can use scenario analysis for risk-mitigation in early-stage startups by detecting high-risk pattern signals, tracking second-order effects, and providing a record of decisions and next steps for immediate action.

Does founder coaching help surface systemic blind spots before they derail a startup?

Founder coaching helps surface systemic blind spots by applying pattern recognition to identify recurring failure modes and second-order effects, providing concise risk-mitigation guidance to prevent startup derailment.