Multi agent workflow
Skill thaolst/ai-growth-agents-for-marketers/skills/multi-agent-workflow
AI agents for growth marketing — built from real fintech campaigns. Prompts + Python.
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Run a two-stage research then planning workflow for growth campaigns. Use when the user wants to analyze past campaign data AND create a new plan based on that analysis in one connected workflow. Stage 1: analyze data and extract structured insights. Stage 2: use insights to build a campaign plan. Input: past campaign data, target, budget, timeline. Output: structured analysis followed by a specific campaign plan.
SKILL.md
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Multi-Agent Workflow: Research + Plan
Hai giai đoạn nối tiếp nhau. Output của giai đoạn 1 là input của giai đoạn 2.
Giai đoạn 1 — Research Agent
Đọc data campaign và xuất ra JSON có cấu trúc:
{
"top_performing_mechanics": [],
"underperforming_areas": [],
"segment_insights": {},
"recommended_focus": [],
"data_gaps": []
}
Chỉ trả về JSON, không giải thích thêm.
Giai đoạn 2 — Strategy Agent
Nhận JSON từ giai đoạn 1. Dựa trên analysis, viết campaign plan với:
- Strategy tổng thể và lý do
- Campaign cụ thể với mechanic, budget, timeline
- Giải thích tại sao mỗi quyết định dựa trên insight từ giai đoạn 1
Nguyên tắc
Không bỏ qua data gaps từ giai đoạn 1. Mọi quyết định trong plan phải có dẫn chứng từ analysis.
English
Two stages in sequence. Output of stage 1 is input of stage 2.
Stage 1: Analyze campaign data, return structured JSON with top performing mechanics, underperforming areas, segment insights, recommended focus, and data gaps.
Stage 2: Use the JSON analysis to build a specific campaign plan. Every decision must reference insights from stage 1.