design

Design custom multi-agent harnesses with harness.json files and system prompts.

Updated Apr 6, 2026

Search Tags:#automation #workflow #architecture #multi-agent #claude-code #harness

Ready to run

npx skills add https://github.com/panicgit/wrangler --skill design-panicgit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: design
Source: https://github.com/panicgit/wrangler/tree/main/skills/design
Command: npx skills add https://github.com/panicgit/wrangler --skill design-panicgit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of managing complex AI development tasks by designing a custom multi-agent harness that prevents single-agent failures like context overflow, poor quality, or lack of direction.

Core Features & Use Cases

Failure Diagnosis: Analyzes your specific project failures to identify the root cause (direction, execution, quality, or context).
Pattern Selection: Recommends the optimal agent architecture, such as Planner-Generator-Evaluator or Decomposer-Worker-Assembler.
Config Generation: Automatically creates the necessary harness configuration and system prompts to orchestrate your agents.

Quick Start

Initiate the design wizard to analyze your project failures and generate a custom multi-agent harness configuration.

Frequently Asked Questions about design

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

FAQPage Schema

How do I design a multi-agent harness to prevent context overflow in AI development workflows?▼

To design a multi-agent harness that prevents context overflow, this skill analyzes project-specific failure modes and generates structured agent configurations with file-based communication handoffs, keeping sub-agent execution isolated within managed contexts.

What is the best way to fix single-agent AI failures like poor quality or lack of direction in software development?▼

Fixing single-agent AI failures like poor quality or lack of direction involves diagnosing the root cause and applying a custom multi-agent architecture, such as Planner-Generator-Evaluator or Decomposer-Worker-Assembler, to orchestrate specialized roles.

How do I generate harness.json configurations and system prompts for custom multi-agent orchestration?▼

Generate harness.json configurations and agent-specific system prompts by running the design wizard, which analyzes your project failures and automatically creates the necessary files to orchestrate sub-agent execution.

Does this multi-agent architecture approach work for complex software development workflows requiring specialized agent roles?▼

Yes, this multi-agent architecture approach applies specifically to complex software development workflows requiring specialized agent roles, using file-based communication handoffs to manage isolated contexts and prevent single-agent failures.

When should I not use a custom multi-agent harness for my AI project?▼

You should not use a custom multi-agent harness if your AI project does not experience complex failure modes like context overflow, poor quality, or lack of direction, as simpler single-agent workflows may suffice for basic tasks.