Business & Operations

Catalog CLI Pro

by Helm

Overview

Catalog CLI Pro helps users inspect uploaded Amazon Category Listing Reports from ChatGPT. Users can list available catalogs, run catalog quality audits, summarize priority issues, drill into specific checks such as missing attributes or intent-based bullet coverage, and understand duplicate-row filtering in scan results.

Tools

catalog_check

ChatGPT

Run a specific query on a catalog. Recommended for drilling into issues found via catalog_scan_summary. Use limit and offset to paginate. Args: catalog_id: ID of the uploaded catalog query: Query name (e.g. "missing-attributes", "intent-bullets") limit: Max issues to return (default: 50) offset: Skip first N issues (default: 0) Returns: JSON string with query results

catalog_list_catalogs

ChatGPT

List catalogs uploaded to the user's Catalog CLI Pro account. Use this before saying whether a new CLR upload is visible. Catalog CLI Pro catalogs are account records, not ChatGPT File Library files. Args: limit: Max catalogs to return (default: 20) offset: Skip first N catalogs (default: 0) Returns: JSON array of catalogs with id, filename, status, sku_count, marketplace

catalog_list_queries

ChatGPT

List all available audit queries. Returns: JSON array of query objects with name and description

catalog_scan

ChatGPT

Scan a catalog with all or selected queries. Returns issues grouped by query. Results are limited to 50 issues per query by default. The total_issues field shows the true count. Use offset to paginate. For a lightweight overview, use catalog_scan_summary first. Args: catalog_id: ID of the uploaded catalog queries: Query names to run (omit for all queries) limit: Max issues to return per query (default: 50) offset: Skip first N issues per query (default: 0) Returns: JSON string with scan results including issues grouped by query

catalog_scan_summary

ChatGPT

Get a high-level summary of all issues without individual issue details. This is the recommended first step when auditing a catalog. Returns issue counts and affected SKU counts per query. Use catalog_check to drill into specifics. Args: catalog_id: ID of the uploaded catalog queries: Query names to run (omit for all queries) Returns: JSON summary with per-query issue counts and affected SKU counts

catalog_schema

ChatGPT

Get schema for queries, request params, and response shapes. Args: query_name: Optional specific query to get schema for (omit for all) Returns: JSON schema describing available queries and their details

Capabilities

Writes

Links

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App Stats

Tools

ChatGPT

Platforms