What problem does it solve?
It helps you solve Xiaohongshu operations problems by turning vague tactics into an industry-grade decision process, including what to research first, which metrics matter, and how to choose the right workflow for your situation.
Core Features & Use Cases
- Agentic research protocol: Classifies your question (fact-needed vs framework-only vs mixed) and then guides you to research with 5 operational dimensions before answering.
- Decision-ready mental models: Outputs structured guidance based on core principles like content-as-seeding (not hard selling) and testing-driven iteration.
- Action playbooks by scenario: Provides playbooks and SOPs for brand new account cold-start,商单笔记 production (蒲公英报备), KFS组合投放, matrix operations, and cross-platform ROI attribution.
- Tooling alignment: Includes an execution CLI concept to operationalize the protocol into repeatable checklists and structured reports for agents/ops teams.
Quick Start
Ask an AI agent: "I’m running a new brand account on 小红书 and my first 10 notes are underperforming—please use the xiaohongshu-ops-master protocol to identify the likely bottleneck, recommend next actions, and specify what to check in 24 hours."