edge-profiler

Extract founder edge profiles from conversations into structured JSON.

4|Updated Mar 6, 2026

Search Tags:#founder #business-planning #edge-profile #intake-questions #structured-profile #json-template

Ready to run

npx skills add https://github.com/accolver/skill-maker --skill edge-profiler

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: edge-profiler
Source: https://github.com/accolver/skill-maker/tree/main/edge-profiler
Command: npx skills add https://github.com/accolver/skill-maker --skill edge-profiler

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Edge profiling for founders pulls messy conversations into a clean, reusable founder profile by separating usable edge from restricted or fake signals, enabling better decision-making and planning.

Core Features & Use Cases

Extracts evidence across profile dimensions: skills, domain_experience, assets, distribution, network_access, constraints, credibility_signals, and unfair_advantages.
Produces a structured JSON profile using assets/profile-template.json for downstream skills.
Supports founder planning, opportunity ranking, and founder-market-fit validation when context is unclear or complex.
Uses intake questions and references to gather missing data safely.

Quick Start

Provide founder context and run edge-profiler to generate a reusable JSON profile ready for review.

Frequently Asked Questions about edge-profiler

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

FAQPage Schema

How do I structure a founder profile from messy conversations?▼

To structure a founder profile from messy conversations, provide the raw context to the edge-profiler. It extracts evidence across dimensions like skills, assets, and distribution, then outputs a clean, reusable JSON profile.

How does edge profiling separate usable edges from fake signals?▼

Edge profiling separates usable edges from fake signals by evaluating extracted conversation evidence against structured profile dimensions. It filters restricted or fabricated signals to ensure only validated advantages populate the final founder profile.

Can I use a structured JSON profile for opportunity ranking and market fit validation?▼

You can use the structured JSON profile for opportunity ranking and founder-market-fit validation. The generated profile-template.json standardizes your extracted edges for downstream skills to analyze planning and market alignment.

What is the best way to gather missing data when founder context is thin?▼

The best way to gather missing data when founder context is thin is to use intake questions. The edge-profiler leverages guided questions and references to safely prompt for missing information across profile dimensions.

Does edge profiling work with dense and complex founder context?▼

Edge profiling works effectively with dense and complex founder context. It processes heavy conversational input to extract credibility signals and unfair advantages, supporting clear decision-making when context is unclear.

When should I not use an automated founder edge profile?▼

You should not use an automated founder edge profile when your raw context lacks any conversational evidence or behavioral signals. The profiler requires baseline context to extract and separate usable edges from restricted or fake signals.