What problem does it solve?
This Skill orchestrates four specialized AI agents (PM, UX, Tech, QA) to transform high-level requirements into a structured, executable task breakdown. Each agent conducts web research before analysis to ground recommendations in industry best practices, case studies, and current trends, dramatically reducing planning time and architectural ambiguity.
Core Features & Use Cases
- Research-first multi-agent analysis: Each agent performs web research prior to analysis to ground decisions in real-world data.
- Four specialized roles: agent-foreman:pm (Product Manager), agent-foreman:ux (UX/UI Designer), agent-foreman:tech (Technical Architect), agent-foreman:qa (QA Manager).
- Mode options: Quick Mode (parallel, ~3 minutes) and Deep Mode (serial, ~8-10 minutes) with Q&A after each agent to refine outputs.
- Phase-driven workflow: Includes Phase 0: Mode Selection and Phase 1: Codebase Scan to adapt analysis to the project state.
Quick Start
Use the foreman-spec skill to break down a high-level requirement into a 4-agent task and research plan. Example: "Create a feature to improve onboarding conversions" → generates four agent prompts (PM, UX, Tech, QA) with web research and a stepwise task breakdown. Start in Quick Mode for fastest results, with a combined final Q&A.