Orchestrate end-to-end delivery workflows with staged phases and multi-agent review.
npx skills add https://github.com/ghbvf/gocell --skill ship-ghbvf
Please help me install this Agent Skill. Skill: ship Source: https://github.com/ghbvf/gocell/tree/main/.claude/skills/ship Command: npx skills add https://github.com/ghbvf/gocell --skill ship-ghbvf
GoCell Ship provides an end-to-end governance-driven workflow to orchestrate full delivery cycles from exploration to final review, reducing handoffs and manual coordination.
Start the ship skill with a chosen level against your backlog item to begin an end-to-end delivery workflow.
High-intent search queries and answers about installing and using this skill.
End-to-end delivery automation is achieved by orchestrating exploration, planning, worktree management, TDD, implementation, PR cycles, and review through multi-agent coordination. It applies structured, governance-driven workflows with staged phases and human confirmations.
Multi-agent exploration and planning is a governance-driven process where multiple agents coordinate across levels L1-L4 to discover requirements, design solutions, and execute tasks. It includes built-in reflection and staged approvals to ensure traceability.
You manage worktree and PR cycles by using a phase-driven execution workflow that enforces TDD-first implementation. It orchestrates worktree creation, automated checks, and reviewer validation to ensure quality before final release.
Yes, the GoCell ship workflow supports test-driven development by enforcing a TDD-first implementation phase. It integrates automated checks and reviewer validation within its staged execution to guarantee code quality.
Yes, you can configure governance levels for multi-agent code reviews using levels L1-L4. These levels allow you to scale multi-agent exploration, execution, and reviewer involvement based on your project's structural requirements.
You need human confirmation in an automated delivery pipeline during staged phase transitions and AskUserQuestion prompts. This ensures quality and traceability by validating discoveries, designs, and implementations before proceeding to release.
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