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parallel-worktree - Parallel Worktree Orchestration for Stacked Implementation

Reads a plan file and uses worktrunk (wt) to split worktrees, orchestrating parallel and stacked implementation with tmux-based Claude sessions and optional Remote Control.

Tags

Updated: 2026-06-30

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • read plan file
  • generate JSON task spec
  • detect task dependencies
  • run preflight checks
  • calculate parallel scheduling waves
  • generate wt and tmux commands
  • create git worktrees via wt
  • launch parallel tmux sessions
  • build stacked branches
  • push feature branches
  • create draft pull requests
  • monitor worktree status
  • remove merged worktrees

Inputs

  • Plan file path
  • wt (worktrunk) CLI
  • gh CLI
  • tmux
  • uv Python package manager
  • Git repository
  • Remote Control option flag

Outputs

  • Git worktrees
  • Parallel tmux sessions with Claude agents
  • Feature branches
  • Draft pull requests
  • Schedule and command execution sequences

Requirements

  • wt (worktrunk) must be installed
  • gh CLI must be installed
  • tmux must be available
  • uv must be installed for Python environment
  • Git repository required
  • Explicit user invocation only (disable-model-invocation: true)
  • Plan file must be pre-created before invocation
  • commit-flow and pr-create skills available

Source

  • Spec: SKILL.md

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parallel
worktree
orchestration
stacked-pr
git-worktree
tmux
claude-agent
task-scheduling
read plan file
generate JSON task spec
detect task dependencies
run preflight checks
Plan file path
wt (worktrunk) CLI
gh CLI
Git worktrees
Parallel tmux sessions with Claude agents
Feature branches