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LucaZoss
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labeller

Cleans merchant names and categorizes imported transactions into need/want/savings buckets with tiered batch confirmation.

Updated Jun 15, 2026
Search Tags:#financial analysis#transaction management#auto-categorization#transaction categorization#merchant name cleaning
One-click install
npx skills add https://github.com/LucaZoss/LUCID-AGENT-DEMO --skill labeller
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: labeller
Source: https://github.com/LucaZoss/LUCID-AGENT-DEMO/tree/main/skills/labeller
Command: npx skills add https://github.com/LucaZoss/LUCID-AGENT-DEMO --skill labeller

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of cleaning merchant names and categorizing imported transactions, saving time and improving accuracy.

Core Features & Use Cases

  • Merchant Name Cleaning: Automates the standardization of merchant names.
  • Transaction Categorization: Sorts transactions into 'need', 'want', or 'savings' buckets.
  • Merchant Memory: Utilizes stored merchant information for auto-application.
  • Batch Confirmation: Allows for tiered confirmation of transactions for review or auto-apply.

Quick Start

Run the labeller skill to clean and categorize your transactions.

Frequently Asked Questions about labeller

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automatically categorize transactions into need, want, and savings buckets?▼

You can automatically categorize transactions into need, want, and savings buckets by running the labeller skill, which uses merchant memory and confidence-tiered batch confirmation to sort your imported financial data accurately.

Can I auto-apply categories for known merchants without manual review?▼

Yes, auto-apply for known merchants is supported through merchant memory, allowing you to bypass manual review while using confidence-tiered batch confirmation for uncertain transactions to ensure accurate transaction categorization.

What is merchant name cleaning and how does it help financial analysis?▼

Merchant name cleaning standardizes raw imported transaction descriptors into consistent names, which streamlines transaction categorization and improves the accuracy of your financial analysis and budget tracking.

How does confidence-tiered batch confirmation work for transaction categorization?▼

Confidence-tiered batch confirmation sorts transactions by certainty, auto-applying high-confidence categories while grouping lower-confidence items into batches for quick manual review during the transaction categorization process.

Is manual transaction review still required when using auto-categorization?▼

Manual review is minimized but not fully eliminated; auto-categorization handles known merchants instantly, while confidence-tiered batch confirmation isolates uncertain transactions for quick targeted review.

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