What is the role of the Orchestrator in this skill?

The orchestrator acts as a conductor, directing specialized subagents to perform tasks like requirement analysis and implementation without manually performing the coding itself.

When does the workflow stop for user input?

The workflow explicitly stops at critical 'Stop Points' such as requirement confirmation, PRD approval, Design Doc verification, and final work plan approval.

How does the skill handle different project sizes?

It uses a scale determination table (Small, Medium, Large) based on file count to decide which documents like PRDs, ADRs, and Design Docs are required before coding starts.

Can the orchestrator handle changing requirements during a task?

Yes, it includes a detection checklist for new features or constraints. If a change is detected, it stops the current flow and restarts from the requirement-analyzer phase.

What is 'Autonomous Execution Mode'?

Once a work plan is batch-approved by the user, the skill enters an autonomous mode where it handles task decomposition, implementation, and quality fixes without requiring further manual input.

AI Subagent Workflow Orchestrator

Name: AI Subagent Workflow Orchestrator
Author: Tahir-yamin

byTahir-yamin

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Productivity & Workflow

Orchestrates complex multi-agent development workflows by coordinating specialized subagents through requirement analysis, architectural design, and autonomous implementation phases.

About

This skill acts as a master conductor for Claude Code, managing a suite of specialized subagents to handle full-stack development tasks systematically. It automatically determines project scale—Small, Medium, or Large—to apply the correct documentation requirements like PRDs and ADRs, while managing critical human-in-the-loop stop points for approvals. By utilizing an autonomous execution mode for implementation and quality assurance, it allows developers to transition from raw requirements to production-grade code with high efficiency and architectural consistency.

Key Features

Autonomous implementation mode with self-contained quality assurance loops
3 GitHub stars
Automated project scale determination and workflow routing
Built-in requirement change detection with automatic workflow re-analysis
Coordination of specialized subagents for PRDs, design docs, and test generation
Standardized JSON-based communication for structured subagent reporting

Use Cases

Orchestrating complex refactoring tasks that span multiple files and require regression checks
Managing large-scale feature implementations requiring formal design documents and ADRs
Automating the transition from requirement gathering to batch implementation and testing

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add tahir-yamin/dev-engineering-playbook subagents-orchestration-guide

For use in Claude.ai and ChatGPT

Download Skill

GitHub