Categorize inventory items and generate tags using keyword and regex rules.
npx skills add https://github.com/Arnutt-N/hr-ims --skill auto-categorization
Please help me install this Agent Skill. Skill: auto-categorization Source: https://github.com/Arnutt-N/hr-ims/tree/main/.claude/skills/auto-categorization Command: npx skills add https://github.com/Arnutt-N/hr-ims --skill auto-categorization
## What problem does it solve? Inventory item categorization and tagging are automated to reduce manual sorting and improve data consistency.
## Core Features & Use Cases
### Quick Start Provide an item description and let the system classify and tag it automatically.
High-intent search queries and answers about installing and using this skill.
To automatically categorize inventory items and generate tags, provide an item description and the system classifies it using keyword and regex rules. It returns category and tag suggestions instantly based on pattern recognition.
Yes, batch processing is supported for multiple inventory items. The system applies keyword and pattern-based rules to categorize items in bulk, utilizing a caching layer to optimize the batch operations.
Yes, the auto-categorization system learns from user corrections. When you adjust a category or tag suggestion, the system updates its rules to improve future pattern recognition and auto-tagging accuracy.
Pattern recognition for inventory tagging works by analyzing item names, descriptions, and historical data using keyword and regex rules. It identifies similarity signals to automatically generate accurate tags.
Yes, Prisma is required as the system exposes category suggestions, auto-categorization, correction learning, and batch processing via Prisma queries to interact with your inventory database.
The best way to maintain data consistency in inventory categorization is to automate sorting with keyword and regex rules. This reduces manual entry errors and standardizes tagging across all items.
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