Do In Parallel
Skill Verified ActiveLaunch multiple sub-agents in parallel to execute tasks across files or targets with intelligent model selection, quality-focused prompting, and meta-judge → LLM-as-a-judge verification
To significantly reduce execution time for batch operations by running tasks concurrently and ensuring high quality through structured verification.
Features
- Parallel task execution across multiple targets
- Intelligent requirement grouping (repeatable, shared, independent)
- Meta-judge for spec generation
- LLM-as-a-judge verification with retry mechanisms
- Quality-focused prompting with Zero-shot CoT and self-critique
Use Cases
- Applying the same refactoring across multiple files simultaneously
- Running code analysis on several modules concurrently
- Generating documentation for multiple components in parallel
- Executing independent transformations across a batch of targets
Non-Goals
- Performing the task execution itself (acts as an orchestrator)
- Skipping judge verification to save time
- Sequential execution when parallelization is safe
- Allowing implementation agents to modify files outside their specified target
Installation
First, add the marketplace
/plugin marketplace add NeoLabHQ/context-engineering-kit/plugin install sadd@context-engineering-kitQuality Score
VerifiedTrust Signals
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