subagent-driven-development

Executes implementation plans by dispatching fresh subagents per task with code review between tasks.

Updated Aug 12, 2026
One-click install
npx skills add https://github.com/Barbaros911/As-mine --skill subagent-driven-development-barbaros911
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: subagent-driven-development
Source: https://github.com/Barbaros911/As-mine/tree/main/.claude/skills/subagent-driven-development
Command: npx skills add https://github.com/Barbaros911/As-mine --skill subagent-driven-development-barbaros911

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Executing multi-task implementation plans in a single context leads to context pollution, skipped reviews, and quality drift. This Skill structures plan execution by dispatching a fresh subagent for each independent task and inserting code review checkpoints between tasks. ## Core Features & Use Cases - Sequential Execution: Dispatch one subagent per task in order, with a code-reviewer subagent validating each task's commits before moving on. - Parallel Execution: Run independent tasks or investigations (different files, subsystems, or bugs) concurrently in batches with review checkpoints. - Parallel Investigation: Group unrelated test failures by problem domain and assign focused agents to fix each domain without conflicts. - Use Case: After a major refactoring leaves 6 test failures across 3 files, dispatch three agents in parallel—one per test file—then integrate the independent fixes and verify the full suite is green. ## Quick Start Use the subagent-driven-development skill to execute this implementation plan, dispatching a fresh subagent for each task with code review between tasks.

Frequently Asked Questions about subagent-driven-development

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

FAQPage Schema
How do I execute an implementation plan with subagents?▼

Load the plan into a TodoWrite list, then dispatch a fresh general-purpose subagent for each task with a focused prompt. After each task, dispatch a code-reviewer subagent with the base and head commit SHAs, fix any Critical or Important issues, then proceed to the next task.

When should I use parallel vs sequential subagent execution?▼

Use sequential execution when tasks are tightly coupled or must run in order. Use parallel execution when tasks are independent—different files, subsystems, or bugs—so agents can work concurrently without conflicts, with review after each batch.

How do I fix multiple failing tests in parallel with AI agents?▼

Group failures by independent problem domain, such as one test file or subsystem per agent. Give each agent a focused scope, the exact error messages, constraints on what not to change, and a required summary output, then run the full test suite after integration.

When should I not use subagent-driven development?▼

Avoid it when failures are related and fixing one may fix others, when understanding requires full system context, during exploratory debugging, or when agents would share state such as editing the same files or resources.

What makes a good subagent prompt for code tasks?▼

A good prompt is focused on one problem domain, self-contained with all needed context including error messages, explicit about constraints like not changing production code, and specific about the expected output such as a summary of root cause and changes.