A powerful tool for deep Pinterest intelligence, covering user search, content inventory, and social graph traversal.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install keyapi-pinterest-analysis
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install keyapi-pinterest-analysis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This Openclaw Skills entry provides comprehensive Pinterest user intelligence using the KeyAPI MCP service. It enables developers and marketers to perform deep profile lookups, content audits, and network analysis. By integrating with the KeyAPI Pinterest MCP server, it facilitates user search, profile retrieval, and the exploration of pin libraries and board collections through a unified, cache-first architecture.
The skill is designed for high-performance research, ensuring that users can efficiently traverse complex social graphs while managing rate limits and data consistency. By utilizing this within the Openclaw Skills ecosystem, technical teams can automate the extraction of creator data, board taxonomies, and audience demographics.
# 1. Install dependencies
npm install
# 2. Set your API token
export KEYAPI_TOKEN=your_token_here
# 3. List all available tools to verify connection
node scripts/run.js --platform pinterest --list-tools
The skill organizes data through specific parameter naming conventions and a structured local caching system:
| Parameter | Type | Context |
|---|---|---|
username |
String | Used for user discovery and profile lookups. |
entry |
String | Specifically used for the get_boards tool to identify users or board paths. |
userid |
Numeric String | Required for follower and following detail traversal. |
Local Cache Structure:
Results are stored in .keyapi-cache/YYYY-MM-DD/{tool_name}/{params_hash}.json to facilitate a cache-first data retrieval policy.
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