Convert a single domain description into a multi-agent team architecture for Claude Code, selecting from six patterns like Pipeline, Fan-out/Fan-in, Supervisor, or Hierarchical Delegation. Generates specialist agents and domain-specific skills to automate project setup, architecture design, expansion, audits, and maintenance.
Harness is a team-architecture factory for Claude Code. Say "build a harness for this project" (English) or "하네스 구성해줘" (한국어) or "ハーネスを構成して" (日本語), and the plugin turns your domain description into an agent team and the skills they use — picked from six pre-defined team-architecture patterns.
Overview
Harness leverages Claude Code's agent team system to decompose complex tasks into coordinated teams of specialized agents. Say "build a harness for this project" and it automatically generates agent definitions (.claude/agents/) and skills (.claude/skills/) tailored to your domain.
Category — Where Harness Sits
Harness lives at the L3 Meta-Factory layer of the Claude Code ecosystem — the layer that generates other harnesses rather than being one. Inside L3, we pick a specific sub-layer: Team-Architecture Factory.
Archon generates deterministic runtime configurations. Harness generates team architectures (pipeline, fan-out/fan-in, expert pool, producer-reviewer, supervisor, hierarchical delegation) plus the skills agents use. Different sub-layers of the same L3. Pick Archon for runtime determinism, Harness for team architecture, or combine them.
Star History
Key Features
Agent Team Design — 6 architectural patterns: Pipeline, Fan-out/Fan-in, Expert Pool, Producer-Reviewer, Supervisor, and Hierarchical Delegation
Skill Generation — Auto-generates skills with Progressive Disclosure for efficient context management
Orchestration — Inter-agent data passing, error handling, and team coordination protocols
Validation — Trigger verification, dry-run testing, and with-skill vs without-skill comparison tests
Harness Evolution Mechanism
The harness evolution mechanism feeds deltas (what worked / what didn't) back into the factory, so the next generation is measurably better. When a generated harness is used in a real project, the /harness:evolve skill captures the delta between the initial architecture and the shipped one, and feeds it back into the factory so the next generation for a similar domain starts closer to the shipped state.
Multi-agent team orchestration for Claude Code. Set up parallel AI agent teams with file-based planning, progress tracking, and role-based collaboration.
Skill for deciding when and how to create agent teams - single agent vs parallel subagents vs coordinated teams, with model selection and communication patterns
