dev-workflow

Orchestrate multi-agent development workflows for complex software features.

4|1|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/lodekeeper/dotfiles --skill dev-workflow-lodekeeper
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dev-workflow
Source: https://github.com/lodekeeper/dotfiles/tree/main/skills/dev-workflow
Command: npx skills add https://github.com/lodekeeper/dotfiles --skill dev-workflow-lodekeeper

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the development of complex features by orchestrating a multi-agent workflow, ensuring thorough planning, implementation, quality assurance, and integration.

Core Features & Use Cases

  • End-to-End Feature Development: Manages the entire lifecycle from initial research and spec design to implementation, review, and PR creation.
  • Agent Delegation: Leverages specialized agents (like gpt-advisor, Codex, and persona-based reviewers) for different development phases.
  • Use Case: Developing a new cross-client interoperability feature for Lodestar, requiring spec alignment, code implementation, and rigorous testing against other clients.

Quick Start

Use the dev-workflow skill to start developing a new feature named 'eip-1234'.

Frequently Asked Questions about dev-workflow

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

FAQPage Schema
How do I orchestrate a multi-agent workflow for complex feature development?

Multi-agent workflow orchestration coordinates specialized agents across research, spec design, code generation, and quality assurance. It manages the entire feature lifecycle by delegating tasks to AI advisors and persona-based reviewers, ensuring iterative feedback loops.

What is the best way to automate code generation and spec design for large-scale software features?

Automating spec design and code generation for large-scale features involves using AI advisors to align specifications and CLIs to implement code. This structured development process ensures thorough planning and execution before creating a pull request.

Can I use multi-agent orchestration for cross-client interoperability features?

Yes, multi-agent orchestration supports cross-client interoperability features by managing spec alignment, code implementation, and rigorous testing. It leverages specialized agents to handle specific development phases and quality assurance.

How does multi-persona code review work in an automated development workflow?

Multi-persona code review in an automated workflow uses specialized agents to evaluate code from different reviewer perspectives. This ensures thorough quality assurance by creating iterative feedback loops during the implementation phase.

Do I need specialized agents like gpt-advisor to manage end-to-end feature development?

End-to-end feature development leverages specialized agents like gpt-advisor and Codex for different development phases. These agents handle specific tasks such as spec design, code generation, and rigorous testing.

When should I use agent delegation for software engineering tasks?

Agent delegation should be used for software engineering tasks requiring structured development processes and iterative feedback loops. It is ideal for large-scale projects that need thorough planning, implementation, and quality assurance.