multi-agent-research

Run multi-agent research-to-planning pipeline using two sequential agents. Use when the user has campaign data and needs a structured plan without code. Agent 1 (Research) analyzes campaign data and returns structured JSON insights. Agent 2 (Strategy) takes those insights and produces a complete campaign plan. Input: campaign data, target, budget, timeline. Output: research findings as JSON → executable campaign plan.

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Repositorio: thaolst/ai-growth-agents-for-marketers
Última actividad en el origen: 1 de junio de 2026 a las 14:53
Idioma detectado de SKILL.md: inglés
Estrellas: 5
Forks: 4

Opciones de instalación

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npx skills add https://github.com/thaolst/ai-growth-agents-for-marketers --skill multi-agent-research

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name	multi-agent-research
description	Run multi-agent research-to-planning pipeline using two sequential agents. Use when the user has campaign data and needs a structured plan without code. Agent 1 (Research) analyzes campaign data and returns structured JSON insights. Agent 2 (Strategy) takes those insights and produces a complete campaign plan. Input: campaign data, target, budget, timeline. Output: research findings as JSON → executable campaign plan.
metadata	{"author":"thaolst","version":"1.1","license":"MIT","related_skills":["campaign-planning","campaign-brief","growth-mcp-connect"]}