Does this skill work with my existing code?

Yes, it automatically scans your project for configuration files like package.json or pyproject.toml to ensure recommendations match your current tech stack and coding patterns.

What is the difference between Quick Mode and Deep Mode?

Quick Mode runs agents in parallel for speed (~3 mins) with one final Q&A, while Deep Mode runs them sequentially, asking questions after each role to inform the next agent's analysis (~8 mins).

How does the research-first approach work?

Each specialized agent uses web search tools to find current industry standards, competitor implementations, and framework best practices before finalizing their portion of the specification.

How do I trigger the specification process?

You can start the workflow by using commands like 'foreman-spec', 'spec feature', or 'break down requirement' in your Claude Code session.

Who are the four agents involved in the workflow?

The workflow includes a Product Manager (market/logic), UX Designer (interaction/patterns), Technical Architect (architecture/security), and QA Manager (verification/testing).

Foreman Spec

Name: Foreman Spec
Author: mylukin

bymylukin

•

240

생산성 및 워크플로

Conducts multi-role requirement analysis and task breakdown using specialized AI agents to ensure production-ready specifications.

소개

Foreman Spec transforms high-level requirements into fine-grained, implementable tasks through a structured multi-perspective workflow. It utilizes four specialized AI agents—Product Manager, UX Designer, Technical Architect, and QA Manager—each performing targeted web research to ground recommendations in current industry best practices. By offering both a fast parallel 'Quick Mode' and a comprehensive sequential 'Deep Mode,' the skill eliminates ambiguity and prevents half-built features by ensuring every requirement is thoroughly vetted from every angle before a single line of code is written.

주요 기능

Multi-agent analysis by specialized PM, UX, Tech, and QA personas
Automated codebase scanning to align with existing tech stacks and conventions
Parallel and sequential processing modes for different project complexities
Integrated web research for industry standards and competitor patterns
Interactive Q&A sessions to resolve requirement ambiguity
240 GitHub stars

사용 사례

Standardizing the requirement gathering process to ensure QA and security are considered early
Breaking down a vague feature idea into a detailed, research-backed technical specification
Researching the best architectural and UX patterns for a new product integration

소개

주요 기능

Multi-agent analysis by specialized PM, UX, Tech, and QA personas
Automated codebase scanning to align with existing tech stacks and conventions
Parallel and sequential processing modes for different project complexities
Integrated web research for industry standards and competitor patterns
Interactive Q&A sessions to resolve requirement ambiguity
240 GitHub stars

사용 사례

Standardizing the requirement gathering process to ensure QA and security are considered early
Breaking down a vague feature idea into a detailed, research-backed technical specification
Researching the best architectural and UX patterns for a new product integration