data-schema
CommunityDefines LinkedIn data structure for AI agents.
Authorsabania
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a comprehensive and standardized data schema that AI agents must adhere to when reading from or writing to the LinkedIn tracking data store, ensuring data integrity and consistency.
Core Features & Use Cases
- Standardized Data Model: Defines the structure, types, and allowed values for all data sheets (Posts, Contacts, Patterns, etc.).
- Agent Readability: Agents consult this schema before any data operation to understand the expected format.
- Use Case: An AI agent needs to log a new post's performance. It first reads this
data-schemaSkill to know which columns exist in the 'Posts' sheet, their data types (e.g., 'Published Date' is a date, 'Engagement Rate' is a number), and any specific value constraints before writing the data.
Quick Start
Consult the data schema for the 'Contacts' sheet to understand its column structure before writing new contact information.
Dependency Matrix
Required Modules
openpyxl
Components
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: data-schema Download link: https://github.com/sabania/linkedin-cli/archive/main.zip#data-schema Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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