Verified:GitHub

meta-agent-generator

Automates agent lifecycle generation, refinement, and evaluation with Jaccard-based critic selection.

1|Updated Feb 2, 2026

Search Tags:#deliberation #prompt-engineering #distillation #agent-generator #triangulated-critique #multi-source-interview

Ready to run

npx skills add https://github.com/justin-delano/Claude-Config --skill meta-agent-generator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: meta-agent-generator
Source: https://github.com/justin-delano/Claude-Config/tree/main/meta/agent-generator
Command: npx skills add https://github.com/justin-delano/Claude-Config --skill meta-agent-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Agent Generator orchestrates the end-to-end lifecycle of specialist agents through multi-source interviews, agent deliberation, and triangulated critique to generate production-ready configurations.

Core Features & Use Cases

Triangulated requirements gathering from domain, design, and evaluation perspectives.
Automatic critic selection using Jaccard similarity to ensure diverse, high-quality critiques.
Deliberation and triangulated critique to resolve conflicts and build robust consensus.
Distillation and token-budget management to keep prompts efficient without sacrificing capability coverage.
Versioned agent configurations and end-to-end orchestration from requirements to evaluation.

Quick Start

Initiate a new domain request to trigger requirements gathering, initial generation, and iterative refinements with automated critiques.

Frequently Asked Questions about meta-agent-generator

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

FAQPage Schema

How do I automate agent creation and generate production-ready configurations?▼

You can automate agent creation by orchestrating the end-to-end lifecycle through multi-source interviews, agent deliberation, and triangulated critique to generate production-ready configurations. Initiate a domain request to trigger requirements gathering, initial generation, and iterative refinements.

What is triangulated critique and how does it improve agent generation?▼

Triangulated critique resolves conflicts and builds robust consensus during agent generation by selecting critics via Jaccard similarity. This ensures diverse, high-quality critiques across domain, design, and evaluation perspectives to refine agent configurations.

How do I manage token budgets when distilling agent prompts?▼

Distillation and token-budget management keep prompts efficient without sacrificing capability coverage during agent generation. This process refines the initial configuration generated from multi-source interviews into a versioned, auditable output.

Can I use multi-source interviews to gather requirements across different domains?▼

Yes, multi-source interviews gather triangulated requirements from domain, design, and evaluation perspectives. This approach applies across domains requiring rapid generation, refinement, and evaluation of agent configurations.

Does the agent generator support versioned configurations and human approvals?▼

Yes, the agent generator produces versioned, auditable configurations with human approvals. It orchestrates the end-to-end lifecycle from requirements gathering through distillation and evaluation to ensure production readiness.

What's the best way to select critics for evaluating specialist agents?▼

The best way to select critics is using Jaccard similarity to ensure diverse, high-quality critiques. This automatic selection mechanism supports the deliberation and triangulated critique needed to build robust consensus.