by heliohq · Claude Skill · ★ 77
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Ship: AI-Powered Software Development Harness An agentic development harness for Claude Code, Codex & Cursor: agent-routed workflows from raw requirement to green PR. Ship helps agents choose and run the right amount of software delivery process: one standalone phase, a grouped quality/build bundle, or the full raw-input-to-green-PR flow. How It Works Ship is a harness, not a copilot. It doesn't help AI write code — it constrains AI to produce reliable results through mechanically enforced quality gates. The problem Ship solves: AI coding agents are capable but unreliable. They skip tests, hallucinate about code they haven't read, review their own work and call it good, and declare victory without evidence. Ship makes these failure modes structurally impossible. Use Ship chooses the right route. decides whether the task needs one skill, a phase bundle, or the full workflow. Production artifacts stay organized. When a task needs durable docs, agents use the repo's existing convention or create a focused folder for requirements, design, engineering, quality, delivery, and archive notes. Atomic skills stay standalone.
| Stars | 77 |
| Forks | 5 |
| Language | Shell |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 67.6951312302195/100 |
| Last Updated | 2026-05-30 |
| Created | 2026-03-25 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~79k |
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ship is An agentic development harness for Claude Code, Codex & Cursor: gated pipeline from spec to green checks.. It is categorized as a Claude Skill with 77 GitHub stars.
ship is primarily written in Shell. It covers topics such as claude-code-plugin, codex-skills, cursor.
You can find installation instructions and usage details in the ship GitHub repository at github.com/heliohq/ship. The project has 77 stars and 5 forks, indicating an active community.
ship is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ship on Agent Skills Hub include smart-ralph, data-structure-protocol, marketplace. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.