converge

Automate iterative research with parallel agents until findings converge.

Updated Jun 12, 2025
One-click install
npx skills add https://github.com/quitgenius/ai-engineering --skill converge-quitgenius
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: converge
Source: https://github.com/quitgenius/ai-engineering/tree/main/claude-skills/converge
Command: npx skills add https://github.com/quitgenius/ai-engineering --skill converge-quitgenius

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jq, openai, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates exhaustive, multi-pass research, ensuring no critical information is missed by iterating until findings stabilize or maximum depth is achieved.

Core Features & Use Cases

  • Iterative Research: Conducts research in parallel and sequential rounds, refining findings over time.
  • Multi-Modal Research: Supports web research, codebase analysis, security audits, and more.
  • GPT-5.2 Pro Integration: Offers enhanced research capabilities with advanced AI models in 'Extreme' and 'Insane' modes.
  • Use Case: When tasked with a complex security audit of a codebase, this Skill can perform deep, multi-pass analysis, identify vulnerabilities, and provide a comprehensive report, even leveraging advanced AI for deeper insights.

Quick Start

Use the converge skill to start a new research session on 'best practices for API security'.

Frequently Asked Questions about converge

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

FAQPage Schema
How do I automate iterative codebase analysis until findings stabilize?

Automated iterative codebase analysis works by spawning parallel agents that refine findings sequentially until convergence or maximum rounds are reached. This multi-pass approach ensures comprehensive coverage for deep research tasks.

What is deep dive research convergence and when do I need it?

Deep dive research convergence is an iterative process where parallel agents refine findings over multiple rounds until they stabilize. You need it for exhaustive tasks like security audits or complex code analysis where missing critical information is unacceptable.

Does this iterative research tool support GPT-5.2 Pro for security audits?

Yes, iterative research supports GPT-5.2 Pro integration for security audits. Enabling 'Extreme' or 'Insane' modes leverages advanced AI models to provide enhanced depth and synthesis during multi-pass analysis.

What's the best way to run parallel agents for dependency analysis?

The best way to run parallel agents for dependency analysis is using an automated iterative tool that manages session state and progress tracking. It spawns parallel agents sequentially to refine findings until convergence.

Do I need jq and openai dependencies to run deep research sessions?

Yes, jq and openai dependencies are required to run deep research sessions. These dependencies support session state management, progress tracking, and structured output generation during iterative analysis.

Why does my iterative research stop before finding all vulnerabilities?

Iterative research stops when findings converge or maximum rounds are reached. If it stops prematurely, the maximum round limit was likely hit before deep dive analysis fully stabilized, preventing further vulnerability discovery.