How does this skill help manage a messy product catalog?

The skill analyzes your provided product records to identify missing data, formatting errors, and potential duplicates, then generates a prioritized task list and QA checklist for your team to follow.

Will this skill automatically make changes to my ecommerce store?

No, this skill is designed to act as a planner and auditor; it provides a comprehensive report of recommended fixes and standards without directly modifying or overwriting your live database.

What exactly is included with the purchase of this cleanup planner?

You will receive the AI agent skill itself, along with a structured framework for data analysis, reporting templates for cleanup tasks, and a specialized QA checklist for final validation.

Which ecommerce platforms or AI agents is this skill compatible with?

This skill works with any standard product data exports containing SKUs, titles, and attributes, and is compatible with major AI agents that support text and data analysis.

What information do I need to provide to get a useful cleanup plan?

For the most accurate results, you should provide your current product records along with any internal style guides, mandatory fields, or specific naming conventions your brand follows.

Ecommerce Catalog Cleanup Planner

Example session with this skill installed

Give a brief cleanup report: SKU A1, title 'Blue Mug', color 'blue', category 'Mugs'; SKU A2, title 'blue mug', color 'Blue', category blank. Recommend changes, don't edit.

Read your context and instructions
Compiled the ecommerce catalog cleanup

Reviewed 2 supplied records. Found inconsistent capitalization, a category gap, and a product pair needing review. No data was changed.

Catalog Findings

Area	Source evidence	Proposed action
Titles	A1: `Blue Mug`; A2: `blue mug`	Use `Blue Mug` for both if title case is approved.
Color	A1: `blue`; A2: `Blue`	Propose lowercase `blue` as the standard.
Category	A1: `Mugs`; A2: blank	Confirm whether A2 belongs in `Mugs` before filling.
Duplicate review	A1 and A2 share title and color after case normalization	Needs Review. Check product identifiers and variant details before any merge.

Priority Cleanup Queue

Order	Task	Rationale
1	Confirm A2 category and whether A1/A2 are distinct products	Resolves classification and duplicate uncertainty before cosmetic work.
2	Approve title and color formats, then apply	Low-effort consistency fixes across this pair.
3	Validate updated records	Catch unintended changes and remaining gaps.

QA and Data Gaps

Check approved title, color, and category values against both SKUs.
Confirm distinct products or variants remain separate.
Recheck missing fields against your required-field list, which was not supplied.
Duplicate status remains uncertain without identifiers or variant details.

Next steps

Supply product identifiers and any size or material differences.
Approve the proposed formats and confirm A2's category.

Connects securely to your tools. The creator never sees your data.

About this skill

Messy product names, missing details, and possible duplicates make catalog maintenance harder. Get a clear report showing what needs attention, which fixes to tackle first, and how to check the results.

What it does

Finds data problems: Flags missing fields, inconsistent attributes, and category mismatches in supplied records.
Reviews potential duplicates: Separates likely duplicate listings from possible variants and distinct products.
Proposes consistent formatting: Recommends naming and attribute standards with examples tied to your records.
Prioritizes cleanup: Builds an ordered task list and a practical QA checklist.

How it works

Share your product records and explain what you want to clean up.
Include any required fields, naming conventions, or category rules you already use.
Review the findings, proposed standards, and items needing confirmation.
Use the cleanup queue and checklist to guide changes and validate the catalog afterward.

Works with

Supplied ecommerce catalog records containing details such as SKUs, titles, brands, categories, attributes, variants, and sales channels.

Why use this skill

It turns scattered catalog issues into specific tasks your team can work through. Source examples help you trace findings back to products, while the cleanup sequence helps reduce repeated work.

Use cases

Prepare product records for a catalog refresh.
Standardize inconsistent colors, sizes, and titles.
Review suspected duplicate listings before merging.
Create a checklist for checking completed updates.

Known limitations

It recommends changes rather than editing your catalog. Findings depend on the records and business rules you provide.

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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Ecommerce Catalog Cleanup Planner