Do In Parallel
This is a parallel task orchestrator that splits work across multiple Claude sub-agents instead of making you wait for sequential execution. You give it a task and a list of files or targets, and it intelligently groups related work, spins up meta-judges to define quality criteria, then launches implementors in parallel with proper verification loops. The grouping analysis is clever: repeatable tasks share one meta-judge spec, interdependent tasks get evaluated together, and truly independent work runs fully isolated. Most useful when you're applying the same refactoring across a dozen files or running analysis on multiple modules. The orchestrator never touches your code directly, it just coordinates the sub-agents and makes sure nothing ships until the LLM-as-a-judge verification passes. Maximum three retries per target before it kicks the decision back to you.
- skills.sh installs
- 1.3K
- GitHub stars
- 1.8K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add neolabhq/context-engineering-kit --skill do-in-parallel --agent claude-codeInstalls into .claude/skills of the current project.
Files
do-in-parallel
Launch multiple sub-agents in parallel to execute tasks across different files or targets. Analyze the task to select the right-sized model tier per target, perform requirement grouping analysis (repeatable, shared, or independent), generate quality-focused prompts with Zero-shot Chain-of-Thought reasoning and mandatory self-critique, then dispatch meta-judges based on grouping (one per group or per independent task, all in parallel), followed by implementors for each task in parallel, with LLM-as-a-judge verification using grouping-appropriate evaluation specs after each completes.Sponsors
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- Repository
- github.com/neolabhq/context-engineering-kit
- Categories
- AI & Agent Building, Automation & Workflows
- First seen
- Jun 3, 2026
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