Parallel worktree supervisor
Skill ldilov/harness-forge/skills/parallel-worktree-supervisor
AI coding agent runtime that makes LLMs understand your codebase with repository-aware context, memory, and continuous learning
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plan and supervise low-overlap parallel work across git worktrees or stacked branches. use when a backlog could be split safely, when multiple small dependent changes need reviewable sequencing, or when merge-blocking risks must be made explicit before parallel execution.
SKILL.md
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Parallel Worktree Supervisor
Trigger Signals
- the backlog could be split into low-overlap tracks with clear ownership boundaries
- multiple small dependent changes need stacked review instead of one giant branch
- the team wants explicit merge blockers, rebase rules, and validation gates before parallel execution
Inspect First
- task list or issue graph, including dependencies and shared prerequisites
- repo hotspots such as root config, lockfiles, generated artifacts, migrations, and shared contracts
- code ownership, test entrypoints, and branch protection or merge expectations
- whether worktrees, stacked branches, or plain feature branches are already in use
Workflow
- map tasks by dependency, risk, and shared-file overlap
- carve the work into tracks that minimize contention on root config, generated files, and public contracts
- assign a branch or worktree plan with base branch, stack order, and merge blockers
- define rebase cadence, validation gates, and when a track must pause for another track to land
- report status in terms of ready, blocked, risky overlap, or merge-ready
Output Contract
- sharding plan with branch or worktree names and ownership notes
- explicit dependency graph and merge order
- overlap hotspots and the files or contracts that make them risky
- validation and rebase expectations for each track
Failure Modes
- hidden coupling means the work is not actually independent enough to parallelize
- the repo relies on shared generated files, lockfiles, or root config that every track must touch
- there is no trustworthy validation path to catch skew between branches
Escalation
- escalate when a schema, API, or root-build change affects multiple tracks at once
- escalate when stacked branches become too interdependent to review independently
- escalate when branch protection, review ownership, or release timing constraints are unclear
References
skills/parallel-worktree-supervisor/references/task-sharding-rules.mdskills/parallel-worktree-supervisor/references/worktree-operations.mdskills/parallel-worktree-supervisor/references/stacked-diffs-and-review.mdskills/parallel-worktree-supervisor/references/merge-readiness.mdskills/parallel-worktree-supervisor/references/output-template.mdskills/parallel-worktree-supervisor/references/examples.md