groundcrew — Codex Skill by ClipboardHealth

by ClipboardHealth · Codex Skill · ★ 61

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About groundcrew

Dispatch your task backlog to local, interactive AI coding agents. One git worktree per task, sandboxed by default. Groundcrew watches assigned tasks, creates isolated worktrees, launches agent CLIs in dedicated terminals, and leaves each task's work on its own PR-ready branch. For the

agenticai-agentsautomationclaudeclaude-codeclicmuxcodexcoding-agentsdeveloper-tools

Quick Facts

Stars61
Forks8
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score70.1713849727282/100
Open Issues1
Last Updated2026-08-08
Created2026-05-16
Platformsclaude-code, cli, codex, node
Est. Tokens~16k

Compatible Skills

These tools work well together with groundcrew for enhanced workflows:

  • superset — semantic(0.40)+complementary+rare_topics+same_lang+shared_platform (63%)

groundcrew alternative? Top 6 similar tools

Looking for a groundcrew alternative? If you're comparing groundcrew with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is groundcrew?

groundcrew is Dispatch your task backlog to local, interactive AI coding agents. One git worktree per task, sandboxed by default.. It is categorized as a Codex Skill with 61 GitHub stars.

What programming language is groundcrew written in?

groundcrew is primarily written in TypeScript. It covers topics such as agentic, ai-agents, automation.

How do I install or use groundcrew?

You can find installation instructions and usage details in the groundcrew GitHub repository at github.com/ClipboardHealth/groundcrew. The project has 61 stars and 8 forks, indicating an active community.

What license does groundcrew use?

groundcrew is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to groundcrew?

The top alternatives to groundcrew on Agent Skills Hub include shep, vnx-orchestration, OpenSwarm. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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