Sansheng Thinking for Openclaw

An interactive e-commerce strategy consultant that helps merchants analyze product viability, pricing, and platform-specific operations through structured reasoning.

eddylu93
v1.0.0
Apr 10, 2026
1
964
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install sansheng-thinking

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install sansheng-thinking using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Sansheng Thinking?

Sansheng Thinking is a sophisticated analytical skill designed for the Openclaw Skills ecosystem. Unlike traditional AI that provides generic answers, this skill functions as a strategic brain that asks the right questions to help sellers clarify their business logic. It integrates multi-platform experience across Taobao, Douyin, Pinduoduo, Xiaohongshu, and cross-border markets to evaluate ROI, competitive positioning, and operational health. By connecting to a private Notion knowledge base, the skill leverages real-world case studies and historical failure lessons to ensure decisions are based on data and proven patterns rather than intuition.

Sansheng Thinking Use Cases

  • Evaluating whether a specific product is suitable for the content-driven environment of Douyin.
  • Conducting competitor analysis to identify gaps in pricing or marketing strategies.
  • Calculating ROI for low-margin products on platforms like Pinduoduo to ensure profitability.
  • Diagnosing operational bottlenecks such as low click-through rates or poor customer retention.
  • Formulating cross-platform expansion strategies for domestic brands moving into global markets.

How Sansheng Thinking Works

  1. The user presents an e-commerce problem or a potential product idea to the agent.
  2. The skill initiates a Socratic dialogue, asking for platform details, existing data points, and resource constraints.
  3. It automatically queries the linked Notion database to find matching success stories or failure traps related to the category.
  4. Through collaborative discussion, the agent and user weigh different strategic paths based on platform-specific rules.
  5. Once a conclusion is reached, the agent proactively offers to save the new insights into the user's knowledge base for future evolution.

Sansheng Thinking Setup

To deploy this skill within your Openclaw Skills environment, follow these steps:

  1. Prepare a Notion workspace with databases for platform cases (Douyin, Taobao, etc.).
  2. Configure your Notion API credentials and Database IDs.
  3. Map your specific internal URLs to the skill's configuration file.
# Example command to initialize the knowledge base connection
openclaw install sansheng-thinking --notion-api-key YOUR_KEY

Sansheng Thinking Data Schema & Taxonomy

The skill organizes e-commerce intelligence using a structured metadata taxonomy to facilitate high-precision retrieval:

Data Layer Organization Method Key Attributes
Platform Cases Folders by Channel Success/Failure tags, Category, Brand strategy
Knowledge Base Structured Notion Pages Platform rules, Traffic tilt factors, ROI benchmarks
Failure Library Numbered Traps GMV obsession, Content deficiency, Private domain neglect
Evolution Log Automated Entries Session-derived insights, New product judgments

Sansheng Thinking Advanced Features

  • Automated Knowledge Precipitation: Proactively captures new insights from dialogues and saves them to Notion.
  • Multi-Platform Logic Switching: Automatically adjusts strategic advice based on whether the target is a shelf-based or content-based e-commerce platform.
  • ROI & Funnel Diagnostics: Built-in logic to analyze conversion funnels from CTR to LTV.
  • Integrated Case Referencing: Real-time retrieval of success and failure benchmarks within the Openclaw Skills workflow.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*