parallel-subagent-driven-development

Dispatch parallel subagents with quality gates for decomposed plan batches.

3|Updated Nov 19, 2025

Search Tags:#automation #workflow #development #code review #subagents #efficiency #parallelization

Ready to run

npx skills add https://github.com/seanGSISG/crispy-claude --skill parallel-subagent-driven-development

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: parallel-subagent-driven-development
Source: https://github.com/seanGSISG/crispy-claude/tree/main/.claude/skills/parallel-subagent-driven-development
Command: npx skills add https://github.com/seanGSISG/crispy-claude --skill parallel-subagent-driven-development

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Executing decomposed development plans sequentially can be slow, even with subagents. This skill leverages parallel execution for independent tasks, significantly speeding up development while maintaining quality.

Core Features & Use Cases

Concurrent Task Execution: Dispatches up to two fresh subagents in parallel for independent tasks within a batch, drastically reducing wall-clock time.
Batch-Level Code Review: Integrates mandatory code reviews after each batch of tasks, catching issues early before they compound.
Fresh Context per Task: Ensures each subagent starts with a clean context, reading only its specific task file, preventing context pollution.

Quick Start

Use the parallel-subagent-driven-development skill to execute the decomposed 'user-onboarding' plan, starting with the first parallel batch.

Frequently Asked Questions about parallel-subagent-driven-development

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I speed up development by running tasks in parallel with subagents?▼

Parallel subagent-driven development dispatches up to two fresh subagents concurrently for independent tasks within a batch, drastically reducing execution time while maintaining code quality through inter-batch reviews.

What's the best way to maintain code quality when parallelizing development workflows?▼

Integrate mandatory code reviews after each batch of parallel tasks to catch issues early before they compound, ensuring quality gates are applied between batches.

How do I execute a decomposed development plan with parallel agents and code review?▼

Structure your plan into manifest-based task batches, then dispatch fresh subagents in parallel for each batch with a clean context per task, followed by batch-level code review before proceeding to the next batch.

What prerequisites do I need to use parallel subagent execution?▼

Your development plan must be decomposed into independent tasks organized by batch, enabling safe parallelization where tasks within a batch have no blocking dependencies.

Can I prevent context pollution when running multiple subagents on the same plan?▼

Yes—each subagent receives fresh context and reads only its specific task file, preventing information leakage and ensuring isolated, focused execution across parallel agents.