Orchestrate parallel git worktree tasks with opencode and kiro-cli prompts.
npx skills add https://github.com/consuelohq/opensaas --skill worktree-batch
Please help me install this Agent Skill. Skill: worktree-batch Source: https://github.com/consuelohq/opensaas/tree/main/.claude/skills/worktree-batch Command: npx skills add https://github.com/consuelohq/opensaas --skill worktree-batch
This Skill enables teams to run and oversee multiple code-worktree jobs in parallel, isolating changes to accelerate batch updates and reviews.
Run a batch of parallel worktrees using the setup.sh and then run kiro-cli prompts followed by opencode reviews in each directory.
High-intent search queries and answers about installing and using this skill.
To run parallel git worktrees, execute setup.sh to create isolated worktree directories, then run kiro-cli-driven prompts followed by opencode-based reviews in each directory to process batch software tasks concurrently with traceable commits.
Git worktree orchestration coordinates multiple opencode sessions across separate git worktrees to execute concurrent development tasks, ensuring isolated changes and deterministic batch updates while maintaining centralized specs, prompts, reviews, and merges.
Yes, opencode reviews isolated code changes by running separate sessions in each git worktree directory, enabling concurrent batch updates with deterministic task execution and traceable commits without interference between parallel tasks.
Automate batch code updates by running setup.sh to configure parallel worktrees, executing kiro-cli-driven prompts for task generation, and applying opencode-based reviews to ensure deterministic, isolated changes with traceable commit history.
The best way to isolate parallel code workloads is using git worktrees to create separate working directories, orchestrating multiple opencode sessions to process batch tasks concurrently while maintaining deterministic execution and traceable commits per task.
Avoid parallel worktree orchestration when tasks require shared mutable state across worktrees, lack deterministic outcomes, or when batch updates need sequential dependency resolution that prevents isolated concurrent execution with traceable commits.
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