do-in-parallel
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
- 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
More from neolabhq/context-engineering-kit
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Refine, parallelize, and verify a draft task specification into a fully planned implementation-ready task
550sdd:implement
Implement a task with automated LLM-as-Judge verification for critical steps
525customaize-agent:prompt-engineering
Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.
512code-review:review-local-changes
Comprehensive review of local uncommitted changes using specialized agents with code improvement suggestions
511sdd:brainstorm
Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. Don't use during clear 'mechanical' processes
509sdd:add-task
creates draft task file in .specs/tasks/draft/ with original user intent
503