IntermediateChatGPT GPTs

Multi-Channel Listing Sync Agent

Multi-Channel Listing Sync Agent is an ecommerce AI skill for ChatGPT GPTs, built for teams working with Shopify, Amazon, eBay. Use it to you are connecting recurring…

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Supported Platforms
Shopify · Amazon · eBay · Etsy · Walmart
System Prompt Original link: no public source found
01

What this Skill does

You are connecting recurring work across several systems into one workflow. Bring Launching a new product across 5 channels simultaneously and Bulk updating holiday pricing across marketplaces into the same operating path before attempting connecting one workflow clearly while… Start with a small test around “Launching a new product across 5 channels simultaneously”, then check whether “Bulk updating holiday pricing across marketplaces” fits the way your team actually works.

02

What makes it different

01

Creates listing and search-content fields together

The source covers product or listing copy alongside SEO-related fields such as keywords, metadata, or image text when those fields are requested.

02

Uses inventory signals for operating decisions

The source works with stock, demand, or reorder information to identify what should be replenished, monitored, or investigated.

03

Before you use it

Actual return-logistics information

Provide the approved label process, carrier or drop-off details, and the real refund timing. The source text can format these instructions but cannot look them up.

04

No installation needed

Copy and paste into a model chat
  1. Expand and copy the complete original Skill.md below.
  2. Open a new conversation in a compatible AI model, then paste it into the chat box.
  3. Add verified task details, run one low-risk example, and review the result before using it in store operations.
05

Original Skill.md

The complete source is shown below. Copy it from the top right to use it.

You are a multi-channel ecommerce listing manager. Your role is to:

1. CHANNEL MAPPING:
   Maintain a product catalog with channel-specific data:
   - Shopify: full HTML descriptions, metafields, SEO data
   - Amazon: keyword-optimized titles, 5 bullets, backend terms
   - eBay: item specifics, condition notes, shipping templates
   - Etsy: tags, attributes, materials, handmade details
   - Walmart: rich media, tax codes, shipping weight

2. CONSISTENCY RULES:
   - Core product data (SKU, weight, dimensions) must match everywhere
   - Pricing may differ by channel (map MSRP, MAP policies)
   - Description adapts to channel format but keeps key USPs
   - Images meet each channel's requirements

3. CONFLICT DETECTION:
   Flag when the same SKU has conflicting data across channels:
   - Price variance > 10%
   - Different weight/dimensions
   - Missing required fields for specific channel
   - Category mismatch

4. BULK OPERATIONS:
   - "Take this Shopify product and generate Amazon + eBay + Etsy listings"
   - "Update all channels when supplier changes specs"
   - "Apply holiday pricing rules across all channels"

Output channel-specific formats when requested.
06

Get started

Starter prompts for the main use cases—copy and use them directly.

01

Start with one real task

Do not begin with a store-wide rollout. Pick one reversible task where Multi-Channel Listing Sync Agent can help you create, localize, or check product content and visual assets. Use this when the input boundary, owner, and one primary measure from factual corrections, editing time, approval rate, and conversion quality are written down.

Show prompt and variablesHide prompt and variables
Use the Skill above to help me with this task: Start with one real task.

Task details: [TASK_DETAILS]
Constraints or policies to follow: [CONSTRAINTS]

Do not begin with a store-wide rollout. Pick one reversible task where Multi-Channel Listing Sync Agent can help you create, localize, or check product content and visual assets.

Return a practical result and clearly flag anything that needs human review.

Replace these variables

[TASK_DETAILS]
The facts, context, or source material for this task.
[CONSTRAINTS]
Replace this placeholder with your verified store-specific information.
02

Prepare the input and guardrails

Collect only the verified product facts, source images, brand rules, target channel, and prohibited claims needed for this test. Remove unrelated personal data and state which actions must never run automatically. Use this when every input has a known source, sensitive fields are minimized, and the approver knows what the trial can read or change.

Show prompt and variablesHide prompt and variables
Use the Skill above to help me with this task: Prepare the input and guardrails.

Task details: [TASK_DETAILS]
Constraints or policies to follow: [CONSTRAINTS]

Collect only the verified product facts, source images, brand rules, target channel, and prohibited claims needed for this test. Remove unrelated personal data and state which actions must never run automatically.

Return a practical result and clearly flag anything that needs human review.

Replace these variables

[TASK_DETAILS]
The facts, context, or source material for this task.
[CONSTRAINTS]
Replace this placeholder with your verified store-specific information.
03

Inspect the source Skill, then run it

Read the source, installation method, and permission notes before adding Multi-Channel Listing Sync Agent to a separate test project. Keep commands and Skill text exactly as published. Use this when you have a product-content draft that a responsible operator can inspect, and it stayed inside the approved boundary.

Show prompt and variablesHide prompt and variables
Use the Skill above to help me with this task: Inspect the source Skill, then run it.

Task details: [TASK_DETAILS]
Constraints or policies to follow: [CONSTRAINTS]

Read the source, installation method, and permission notes before adding Multi-Channel Listing Sync Agent to a separate test project. Keep commands and Skill text exactly as published.

Return a practical result and clearly flag anything that needs human review.

Replace these variables

[TASK_DETAILS]
The facts, context, or source material for this task.
[CONSTRAINTS]
Replace this placeholder with your verified store-specific information.
04

Review it against a baseline

Do not judge the result by fluency. Compare it with source data, the current SOP, and the pre-test baseline; record factual errors, omissions, and editing time. Use this when factual corrections, editing time, approval rate, and conversion quality has a pre-test baseline, and errors and exceptions are logged separately.

Show prompt and variablesHide prompt and variables
Use the Skill above to help me with this task: Review it against a baseline.

Task details: [TASK_DETAILS]
Constraints or policies to follow: [CONSTRAINTS]

Do not judge the result by fluency. Compare it with source data, the current SOP, and the pre-test baseline; record factual errors, omissions, and editing time.

Return a practical result and clearly flag anything that needs human review.

Replace these variables

[TASK_DETAILS]
The facts, context, or source material for this task.
[CONSTRAINTS]
Replace this placeholder with your verified store-specific information.
07

Risks and operating notes

Do not invent labels, links, locations, or timelines

This text can draft return instructions, but it does not verify a carrier label, local drop-off point, parcel status, or refund-processing time. Use only details supplied by your actual return system.

A chat instruction does not update inventory

If the instruction mentions inventory, treat that as an operational step to verify. A pasted Skill cannot change stock records unless a separately configured and approved integration performs that action.

Keep claims tied to verified product facts

When this instruction drafts marketing or product content, review specifications, comparisons, performance claims, and testimonials against approved evidence before publishing.

Verify commercial terms before acting

Any price, discount, cost, or margin recommendation is only as current as the values you provide. Recheck live prices, tax, shipping, and margin rules before publishing or sending an offer.

Community rating results

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Task effectiveness
Setup and ease of use
Reliability and guardrails
Documentation clarity
Time to first useful result
Author / maintainer

Network-collected; original author unavailable.

The complete available Skill content is cataloged and reviewed; public web material does not currently name the original author. Attribution does not affect its directory visibility or content-based recommendation eligibility.

Risk, permissions, and limitations

Review third-party permission scopes before providing store data. Never paste payment credentials, customer passwords, or unnecessary personal data into a model. Outputs must be checked by the operator responsible for the workflow.

Content checked: