by revfactory · Claude Skill · ★ 6.7k
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Harness Agent Team & Skill Architect — A Claude Code Plugin 한국어 A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use. 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 () and skills () tailored to your domain. 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 Workflow Installation Via Marketplace Add the marketplace shell /plugin marketplace add revfactory/harness
| Stars | 6,706 |
| Forks | 917 |
| Language | HTML |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 72.7573608810163/100 |
| Open Issues | 12 |
| Last Updated | 2026-06-10 |
| Created | 2026-03-26 |
| Platforms | claude-code |
| Est. Tokens | ~718k |
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harness is A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.. It is categorized as a Claude Skill with 6.7k GitHub stars.
harness is primarily written in HTML. It covers topics such as claude-code, claude-code-plugin, harness.
You can find installation instructions and usage details in the harness GitHub repository at github.com/revfactory/harness. The project has 6.7k stars and 917 forks, indicating an active community.
harness is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to harness on Agent Skills Hub include memsearch, hive, nexent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.