by oprogramadorreal · Agent Tool · ★ 53
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Primes your project for peak Claude Code performance
| Stars | 53 |
| Forks | 7 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 37.25/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-12 |
| Created | 2026-01-26 |
| Platforms | claude-code, python |
| Est. Tokens | ~188k |
Looking for a optimus-claude alternative? If you're comparing optimus-claude with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
🎯 The definitive collection of 50+ verified Awesome Claude Skills for Claude Code, Claude.ai, and API. Boost
Zero-config Claude Code setup with enforced task scaffolding, structured memory, persistent context after comp
"ULTRASHIP" Claude Code plugin — 39 skills, 33 tools, 11 agents for ship-ready workflows: planning, review, pe
An AI-powered GitHub code review tool that uses LLMs to detect high-confidence, high-impact issues—such as sec
89 skills and 38 specialized agents that enforce proven engineering practices for AI-assisted development. TDD
An engineering team in a box for Claude Code — 12 specialized agents, 15 automation hooks, and the P7/P9/P10 m
Explore other popular agent tool tools:
optimus-claude is Primes your project for peak Claude Code performance. It is categorized as a Agent Tool with 53 GitHub stars.
optimus-claude is primarily written in Python. It covers topics such as ai, anthropic, automation.
You can find installation instructions and usage details in the optimus-claude GitHub repository at github.com/oprogramadorreal/optimus-claude. The project has 53 stars and 7 forks, indicating an active community.
optimus-claude is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to optimus-claude on Agent Skills Hub include awesome-claude-skills, meridian, ultraship. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.