A tool for generating complete Shopify storefront pages, such as product, collection, homepage, editorial, landing, list, and bundle pages. It chooses a page approach based on the type of page requested and requires a page plan before generation unless planning is explicitly skipped.

Use it to plan and generate Shopify pages for products, collections, homepages, campaigns, editorial content, lists, or bundles. It can also work with approved plans and asset lists supplied by related page-building workflows.

It helps turn a storefront request into an organised page design with the required planning and supporting workflows. This reduces the chance of building an ecommerce page without first deciding its structure and content.

generate — Skill for Claude Code and Codex by Aetheria-Labs1

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add Aetheria-Labs1/storefront-skills --skill generate

Clone the repo

git clone --depth 1 https://github.com/Aetheria-Labs1/storefront-skills

Made for: Claude Code, Codex.

Or install lexsis-storefront-skills, the plugin that ships this one along with the rest of its 11 skills, 2 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/aetheria-labs1/storefront-skills/generate/github.svg)](https://agentmods.dev/skills/aetheria-labs1/storefront-skills/generate)

Your own site

<a href="https://agentmods.dev/skills/aetheria-labs1/storefront-skills/generate"><img src="https://agentmods.dev/badge/skills/aetheria-labs1/storefront-skills/generate/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/aetheria-labs1/storefront-skills/generate"><img src="https://agentmods.dev/badge/skills/aetheria-labs1/storefront-skills/generate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,410 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00028	$0.01410
Opus 5	$0.00014	$0.00705
Sonnet 5	$0.00006	$0.00282
Haiku 4.5	$0.00003	$0.00141

Measured today against content hash 5185a8274398, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

generate scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/migrate_page_workspace_v3.py, scripts/prepare_workspace_compile.py, scripts/validate_page_workspace.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/generate/SKILL.md · 154 lines

How it starts

The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Generate the Draft

Create a remote draft from canonical local source. Draft creation is reversible; publishing remains a separate explicit action.

Read:

references/workflow-intent.md
references/source-and-sync.md
references/animation-system.md when source contains or requires motion
references/consumer-behavior-cro.md when planning or design was skipped
references/page-editing.md only for an existing page
references/merchant-templates.md only when reusing a merchant template
references/qa-recipe.md for production-ready QA

Use lexsis_catalog.get, lexsis_design.island_schema, lexsis_pages.compile, lexsis_pages.edit_context, lexsis_pages.source, lexsis_pages.integrity, and lexsis_page_create.create.

Infer the Outcome

Infer intent from the whole request and conversation using references/workflow-intent.md; do not require a trigger phrase.

fast-draft is the default for reversible ambiguity and requests to create, try, preview, explore, or iterate.
production-ready applies when the user asks for final polish, exhaustive QA, campaign handoff, or launch preparation.
publish routes to /publish; this skill never infers live-release approval.

State the inferred mode briefly and record compact evidence in workflow. A request to create a draft authorizes one page-creation credit for the named page. Intent inference never authorizes a duplicate page, paid asset generation, publication, deletion, or destructive replacement.

Inputs and Setup Reuse

Use lexsis-source.html, page-theme.css, and the compact schema-v3 manifest. Reuse the saved store/theme binding from work/storefront/setup/setup.json. Do not call setup again when that binding is valid.

Refresh only volatile creation data: selected products and variants, prices, availability, permissions, active island schemas, and an existing page's version. Never preserve a stale hardcoded Shopify variant ID when current catalog data or a dynamic product binding can resolve it.

Read the full file on GitHub · 154 lines

Files

What ships with it

16 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

today Changed · +10 lines 5185a8274398
2d ago Changed · +47 lines · +3 tokens per session eff38b172518
3d ago Changed · -51 lines · -5 tokens per session e3c3abdc6310
4d ago Changed · +54 lines f81fd3dc2b56
5d ago Changed · -48 lines · -7 tokens per session 5feb22724249
9d ago First seen · 142 lines · 37 tokens per session scan A 707e2c80d828

Subscribe to this mod's changes

generate is a skill published in the GitHub repository Aetheria-Labs1/storefront-skills (8 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 1,410 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

E-commerce

amazon-reviews-api-skill

This skill helps users automatically extract Amazon product reviews via the Amazon Reviews API. Agent should proactively apply this skill when users express needs like getting reviews for Amazon product with ASIN B07TS6R1SF, analyzing customer feedback for a specific Amazon item, getting ratings and comments for a…

browser-act/skills · 124 tokens

amazon-competitor-analyzer

Scrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, review quality, and visual strategies to identify competitor moats and vulnerabilities.

browser-act/skills · 48 tokens

asc-subscription-localization

Bulk-localize subscription, subscription-group, and in-app purchase display names across App Store locales using asc, including API 4.4.1 version-scoped v2 resources. Use when filling or updating subscription/IAP names and descriptions without App Store Connect UI work.

rorkai/app-store-connect-cli-skills · 60 tokens

food-order

Reorder previous Foodora orders, preview cart contents, and track delivery ETA/status with ordercli. Use when the user wants to reorder food, check delivery status, or browse recent Foodora order history. Never confirm an order without explicit user approval.

Bitterbot-AI/bitterbot-desktop · 53 tokens

product-description-generator

E-commerce product description generator for any platform. Generates optimized titles, bullet points, descriptions, and backend keywords using competitor research + keyword scoring + FABE copywriting. Two modes: (A) Create — generate listing from product specs with optional competitor analysis, (B) Optimize — improve…

nexscope-ai/eCommerce-Skills · 126 tokens

amazon-price-tracker

Amazon price monitoring and competitive pricing intelligence. Real-time price tracking, Buy Box analysis, promotion detection, and dynamic pricing strategy optimization. Use when the user asks about price monitoring, competitor pricing, Buy Box tracking, or pricing strategy.

nexscope-ai/Amazon-Skills · 51 tokens