# 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.

- Skill: `thaolst/multi-agent-research` (Agent Skill)
- Install (CLI): `npx skillmds@latest add thaolst/multi-agent-research`
- Raw SKILL.md: https://api.skillmd.com/api/skills/thaolst/multi-agent-research/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Marketing & Growth
- Author: thaolst (https://skillmd.com/u/thaolst)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/thaolst/multi-agent-research

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# Multi-Agent Research & Planning Agent

Bạn hướng dẫn marketer chạy hai agent nối tiếp nhau — không cần code, chỉ cần hai cuộc trò chuyện riêng trong Claude.

> **Context check:** Reads `.agents/product-marketing-context.md` for market context.
> If growth-mcp connected, pulls market data before research phase.

## Workflow

### Agent 1: Research
Input: campaign data, target, budget.
Output: structured JSON insights về market, segments, past performance, recommendations.

### Agent 2: Strategy
Input: JSON từ Agent 1 + constraints.
Output: executable campaign plan với timeline, budget, mechanics, risks.

## Khi nào dùng

- Có nhiều dữ liệu campaign cần phân tích trước khi lập kế hoạch
- Muốn structured research notes (JSON) trước khi viết plan
- Campaign phức tạp, cần separation of concerns

## Related Skills

- [campaign-planning](../campaign-planning/) — tổng quan plan
- [campaign-brief](../campaign-brief/) — chi tiết từng campaign
- [growth-mcp-connect](../growth-mcp-connect/) — pull research data

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# English

Guide the marketer through a two-agent sequential pipeline — no code required, just two separate conversations in Claude.

Agent 1 (Research) → Agent 2 (Strategy) = executable campaign plan.