Orchestrate batch story shipping with waves, git worktrees, and gated QA.
npx skills add https://github.com/danhannah94/claymore-plugins --skill ship-danhannah94
Please help me install this Agent Skill. Skill: ship Source: https://github.com/danhannah94/claymore-plugins/tree/main/hl/skills/ship Command: npx skills add https://github.com/danhannah94/claymore-plugins --skill ship-danhannah94
Orchestrates the end-to-end shipping of a batch or epic by coordinating waves of stories, spawning per-branch agent worktrees, and applying gated QA and deployment steps.
Provide a batch spec or path to the epic design doc and invoke /hl:ship to begin processing.
High-intent search queries and answers about installing and using this skill.
Automated batch shipping orchestrates waves of stories using topological sorting for dependency resolution and parallel execution via git worktrees. This coordinates per-wave agents and gated QA to ensure safe, auditable epic deployments.
Git worktree orchestration spawns dedicated feature branches for isolated experimentation per wave. By applying topological sorting to manage dependencies, multiple AI agents can execute stories in parallel without causing branch conflicts.
Managing dependency resolution in a multi-story batch requires topological-wave planning to determine execution order. This prevents conflicts by sequencing dependent stories correctly across waves before applying gated QA and deployment steps.
Conditional gated QA gates visual versus backend work by backing checks with a per-project QA backend. It utilizes test-env with Crucible or headless-preview with dev-auth to validate specific work types before merging.
Yes, you need to provide a batch spec or a path to an epic design doc to start. This input initializes the orchestration of waves, dependency resolution, and parallel feature agents for your multi-story batch.
PR-based collaboration enforces post-merge validation to ensure safe, auditable shipping across teams. It guards risk during handoffs by validating each story within a batch before finalizing the optional deploy and migrate phases.
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