/shopify-admin-agentic-image-alt-text
Generate and set descriptive alt text on product images so AI agents (which can't 'see' pixels) can understand and recommend what each product looks like.
$ npx -y skills add 40rty-ai/shopify-admin-skills --skill shopify-admin-agentic-image-alt-text --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/shopify-admin-agentic-image-alt-text
Context preview
The summary Claude sees to decide when to auto-load this skill.
Generate and set descriptive alt text on product images so AI agents (which can't 'see' pixels) can understand and recommend what each product looks like.
SKILL.md
shopify-admin-agentic-image-alt-text.SKILL.mdname: shopify-admin-agentic-image-alt-text
role: agentic
description: "Generate and set descriptive alt text on product images so AI agents (which can't 'see' pixels) can understand and recommend what each product looks like."
toolkit: shopify-admin, shopify-admin-execution
api_version: "2025-01"
graphql_operations:
- products:query
- fileUpdate:mutation
status: stable
compatibility: Claude Code, Cursor, Codex, Gemini CLI
audit_signals:
- listing-image-alt-text
Purpose
An AI shopping agent reads image **alt text** to understand a product's appearance — color, material, style, use. Blank or filename-style alt text ("IMG_2931.jpg") tells the agent nothing, so it can't match the product to a visual query ("red linen midi dress") or describe it to a shopper. This skill finds product images with missing or low-value alt text and writes concise, descriptive alt text derived from the product's title, options, type, and tags. Fixes the agentiq.report finding `listing-image-alt-text`.
Prerequisites
- Authenticated Shopify CLI session (`shopify auth login --store <domain>`)
- Required API scopes: `read_products`, `write_products`, `write_files`
Parameters
All skills accept these universal parameters:
| Parameter | Type | Required | Default | Description | |-----------|--------|----------|---------|-------------| | store | string | yes | — | Store domain (e.g., mystore.myshopify.com) | | format | string | no | human | Output format: `human` (default) or `json` | | dry_run | bool | no | false | Preview mutations without executing |
Skill-specific parameters:
| Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | collection_id | string | no | — | Limit to a collection GID | | tag | string | no | — | Limit to a product tag | | overwrite | bool | no | false | If true, also rewrite filename-style / placeholder alt text; if false, only fill blanks | | max_chars | int | no | 125 | Alt-text length cap (accessibility + agent-readability) |
Safety
> ⚠️ Step 3 (`fileUpdate`) writes alt text to live media. With `overwrite: true` it replaces existing alt text, which is not bulk-reversible. Run `dry_run: true` first and review the proposed alt text per image. Default (`overwrite: false`) only fills blanks and is low-risk.
Workflow Steps
1. **OPERATION:** `products` — query **Inputs:** `first: 250`, optional collection/tag filter; fields `title`, `productType`, `tags`, `options`, `media{ MediaImage{ id image{ altText } } }`; paginate until done. **Expected output:** Product media with current alt text + the product context needed to generate good alt text.
2. **COMPUTE (no API):** for each image with blank (or, if `overwrite`, placeholder) alt text, compose alt text from `title` + relevant option values (color/material/style) + product type, trimmed to `max_chars`. Emit a preview table (image id → proposed alt).
3. **OPERATION:** `fileUpdate` — mutation **Inputs:** `files: [{ id: <MediaImage id>, alt: <generated alt> }]` in batches (≤ 25). **Expected output:** Updated files; collect `userErrors`.
GraphQL Operations
# products:query — validated against api_version 2025-01
query AltTextProducts($first: Int!, $after: String, $query: String) {
products(first: $first, after: $after, query: $query) {
edges {
node {
id
title
productType
tags
options { name values }
media(first: 20) {
edges {
node { ... on MediaImage { id image { altText url } } }
}
}
}
}
pageInfo { hasNextPage endCursor }
}
}# fileUpdate:mutation — validated against api_version 2025-01
mutation AltTextUpdate($files: [FileUpdateInput!]!) {
fileUpdate(files: $files) {
files { ... on MediaImage { id alt } }
userErrors { field message code }
}
}Session Tracking
**Claude MUST emit the following output at each stage. This is mandatory.**
**On start**, emit:
╔══════════════════════════════════════════════╗
║ SKILL: <skill name> ║
║ Store: <store domain> ║
║ Started: <YYYY-MM-DD HH:MM UTC> ║
╚══════════════════════════════════════════════╝
**After each step**, emit:
[N/TOTAL] <QUERY|MUTATION> <OperationName>
→ Params: <brief summary of key inputs>
→ Result: <count or outcome>If `dry_run: true`, prefix every mutation step with `[DRY RUN]` and do not execute it.
**On completion**, emit:
For `format: human` (default):
══════════════════════════════════════════════
OUTCOME SUMMARY
<Metric label>: <value>
Errors: 0
Output: <filename or "none">
══════════════════════════════════════════════
For `format: json`, emit:
{
"skill": "<skill-slug>",
"store": "<domain>",
"started_at": "<ISO8601>",
"completed_at": "<ISO8601>",
"dry_run": false,
"steps": [
{
"step": 1,
"operation": "<OperationName>",
"type": "query",
"params_summary": "<string>",
"result_summary": "<string>",
"skipped": false
}
],
"outcome": {
"metric_key": 0,
"errors": 0,
"output_file": null
}
}Output Format
`human`: count of images updated + a CSV (`product, image_id, old_alt, new_alt`). `json`: `{ images_updated, images_skipped, errors, output_file }`.
Error Handling
| Error | Cause | Recovery | |-------|-------|----------| | `THROTTLED` | API rate limit | Wait 2s, retry up to 3 times | | `userErrors` non-empty | Invalid file id / not a MediaImage | Log message, skip, continue | | Alt exceeds limit | Generated text too long | Trim to `max_chars` at a word boundary |
Best Practices
- Lead the alt text with the concrete noun + distinguishing attribute ("Charcoal merino crew-neck sweater"), not marketing fluff — that's what agents match on.
- Keep `overwrite
Read more
name: shopify-admin-agentic-image-alt-text role: agentic description: "Generate and set descriptive alt text on product images so AI agents (which can't 'see' pixels) can understand and recommend what each product looks like." toolkit: shopify-admin, shopify-admin-execution api_version: "2025-01" graphql_operations: - products:query - fileUpdate:mutation status: stable compatibility: Claude Code, Cursor, Codex, Gemini CLI audit_signals: - listing-image-alt-text
Purpose
An AI shopping agent reads image **alt text** to understand a product's appearance — color, material, style, use. Blank or filename-style alt text ("IMG_2931.jpg") tells the agent nothing, so it can't match the product to a visual query ("red linen midi dress") or describe it to a shopper. This skill finds product images with missing or low-value alt text and writes concise, descriptive alt text derived from the product's title, options, type, and tags. Fixes the agentiq.report finding `listing-image-alt-text`.
Prerequisites
- Authenticated Shopify CLI session (`shopify auth login --store <domain>`)
- Required API scopes: `read_products`, `write_products`, `write_files`
Parameters
All skills accept these universal parameters:
| Parameter | Type | Required | Default | Description | |-----------|--------|----------|---------|-------------| | store | string | yes | — | Store domain (e.g., mystore.myshopify.com) | | format | string | no | human | Output format: `human` (default) or `json` | | dry_run | bool | no | false | Preview mutations without executing |
Skill-specific parameters:
| Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | collection_id | string | no | — | Limit to a collection GID | | tag | string | no | — | Limit to a product tag | | overwrite | bool | no | false | If true, also rewrite filename-style / placeholder alt text; if false, only fill blanks | | max_chars | int | no | 125 | Alt-text length cap (accessibility + agent-readability) |
Safety
> ⚠️ Step 3 (`fileUpdate`) writes alt text to live media. With `overwrite: true` it replaces existing alt text, which is not bulk-reversible. Run `dry_run: true` first and review the proposed alt text per image. Default (`overwrite: false`) only fills blanks and is low-risk.
Workflow Steps
1. **OPERATION:** `products` — query **Inputs:** `first: 250`, optional collection/tag filter; fields `title`, `productType`, `tags`, `options`, `media{ MediaImage{ id image{ altText } } }`; paginate until done. **Expected output:** Product media with current alt text + the product context needed to generate good alt text.
2. **COMPUTE (no API):** for each image with blank (or, if `overwrite`, placeholder) alt text, compose alt text from `title` + relevant option values (color/material/style) + product type, trimmed to `max_chars`. Emit a preview table (image id → proposed alt).
3. **OPERATION:** `fileUpdate` — mutation **Inputs:** `files: [{ id: <MediaImage id>, alt: <generated alt> }]` in batches (≤ 25). **Expected output:** Updated files; collect `userErrors`.
GraphQL Operations
# products:query — validated against api_version 2025-01
query AltTextProducts($first: Int!, $after: String, $query: String) {
products(first: $first, after: $after, query: $query) {
edges {
node {
id
title
productType
tags
options { name values }
media(first: 20) {
edges {
node { ... on MediaImage { id image { altText url } } }
}
}
}
}
pageInfo { hasNextPage endCursor }
}
}# fileUpdate:mutation — validated against api_version 2025-01
mutation AltTextUpdate($files: [FileUpdateInput!]!) {
fileUpdate(files: $files) {
files { ... on MediaImage { id alt } }
userErrors { field message code }
}
}Session Tracking
**Claude MUST emit the following output at each stage. This is mandatory.**
**On start**, emit:
╔══════════════════════════════════════════════╗ ║ SKILL: <skill name> ║ ║ Store: <store domain> ║ ║ Started: <YYYY-MM-DD HH:MM UTC> ║ ╚══════════════════════════════════════════════╝
**After each step**, emit:
[N/TOTAL] <QUERY|MUTATION> <OperationName>
→ Params: <brief summary of key inputs>
→ Result: <count or outcome>If `dry_run: true`, prefix every mutation step with `[DRY RUN]` and do not execute it.
**On completion**, emit:
For `format: human` (default):
══════════════════════════════════════════════ OUTCOME SUMMARY <Metric label>: <value> Errors: 0 Output: <filename or "none"> ══════════════════════════════════════════════
For `format: json`, emit:
{
"skill": "<skill-slug>",
"store": "<domain>",
"started_at": "<ISO8601>",
"completed_at": "<ISO8601>",
"dry_run": false,
"steps": [
{
"step": 1,
"operation": "<OperationName>",
"type": "query",
"params_summary": "<string>",
"result_summary": "<string>",
"skipped": false
}
],
"outcome": {
"metric_key": 0,
"errors": 0,
"output_file": null
}
}Output Format
`human`: count of images updated + a CSV (`product, image_id, old_alt, new_alt`). `json`: `{ images_updated, images_skipped, errors, output_file }`.
Error Handling
| Error | Cause | Recovery | |-------|-------|----------| | `THROTTLED` | API rate limit | Wait 2s, retry up to 3 times | | `userErrors` non-empty | Invalid file id / not a MediaImage | Log message, skip, continue | | Alt exceeds limit | Generated text too long | Trim to `max_chars` at a word boundary |
Best Practices
- Lead the alt text with the concrete noun + distinguishing attribute ("Charcoal merino crew-neck sweater"), not marketing fluff — that's what agents match on.
- Keep `overwrite
Community-maintained AI agent skills for operating Shopify stores — workflows, optimization, reports and more
Other skills on shopify-admin-skills.
- /shopify-admin-agentic-crawler-access
Edit the theme's robots.txt.liquid to explicitly allow AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, OAI-SearchBot, Amazonbot) so AI assistants are permitted to read the catalog.
Open skill - /shopify-admin-agentic-description-enrichment
Rewrite thin product descriptions into structured, fact-rich copy (materials, fit, use-cases, the words shoppers actually type) so AI agents have something concrete to quote and match.
Open skill - /shopify-admin-agentic-llms-txt
Generate and publish an /llms.txt guide (brand summary, flagship products, key policies, contact) via a theme template so AI assistants get a curated, machine-readable map of the store.
Open skill - /shopify-admin-agentic-metafields-setup
Define and populate agentic-commerce metafields (material, attributes, key features, specs, sizing) so AI agents can filter and match products to specific shopper requirements.
Open skill - /shopify-admin-agentic-organization-schema
Inject an Organization JSON-LD block (name, logo, sameAs social links, contactPoint) into the theme so AI agents can verify the store is a real, trusted brand and link it to its public identity.
Open skill - /shopify-admin-agentic-policy-readability
Ensure shipping, returns, refund, privacy, and terms policies exist as clean machine-readable text so AI agents can answer shopper questions and close the sale without escalating.
Open skill

