数据与研究

do-in-parallel

neolabhq/contex…ring-kit

Run independent tasks concurrently across multiple files or targets using parallel sub-agents, with per-task model selection and LLM-as-a-judge verification. Use when tasks do not depend on each other and can run side by side.

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安装命令

npx skills add https://github.com/neolabhq/context-engineering-kit --skill do-in-parallel

SKILL.md

do-in-parallel

Key benefits:

  • Parallel execution - Multiple tasks run simultaneously
  • Requirement grouping - Reduces meta-judges and judges by identifying repeatable and shared task patterns
  • Right-sized model - Chosen per target by the Model Selection Policy: sonnet/haiku by default, opus only when earned
  • Fresh context - Each sub-agent works with clean context window
  • Task-specific evaluation - Each meta-judge produces tailored rubrics and checklists for its specific task or group
  • External verification - Judge applies target-specific meta-judge specification mechanically — catches blind spots self-critique misses
  • Feedback loop - Retry with specific issues identified by judge
  • Quality gate - Work doesn't ship until it meets threshold