subagent-driven-development

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Use when executing implementation plans with independent tasks. Dispatches fresh delegate_task per task with two-stage review (spec compliance then code quality).

AI & Automation 173,893 stars 29465 forks Updated today MIT

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# Subagent-Driven Development ## Overview Execute implementation plans by dispatching fresh subagents per task with systematic two-stage review. **Core principle:** Fresh subagent per task + two-stage review (spec then quality) = high quality, fast iteration. ## When to Use Use this skill when: - You have an implementation plan (from writing-plans skill or user requirements) - Tasks are mostly independent - Quality and spec compliance are important - You want automated review between tasks **vs. manual execution:** - Fresh context per task (no confusion from accumulated state) - Automated review process catches issues early - Consistent quality checks across all tasks - Subagents can ask questions before starting work ## The Process ### 1. Read and Parse Plan Read the plan file. Extract ALL tasks with their full text and context upfront. Create a todo list: ```python # Read the plan read_file("docs/plans/feature-plan.md") # Create todo list with all tasks todo([ {"id": "task-1", "content": "Create User model with email field", "status": "pending"}, {"id": "task-2", "content": "Add password hashing utility", "status": "pending"}, {"id": "task-3", "content": "Create login endpoint", "status": "pending"}, ]) ``` **Key:** Read the plan ONCE. Extract everything. Don't make subagents read the plan file — provide the full task text directly in context. ### 2. Per-Task Workflow For EACH task in the plan: #### Step 1: Dispatch Implementer Subagent Use `dele...

Details

Author
NousResearch
Repository
NousResearch/hermes-agent
Created
10 months ago
Last Updated
today
Language
Python
License
MIT

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