Amazon Listing Competitor Analysis
browser-act/skills
Analyzes a competitor's Amazon listing by ASIN with BrowserAct data extraction, then reports what it does well, where the market has gaps and opportunity points for your own listing.
Analyzes a product page or store for SEO, from title tags and schema to marketplace visibility, with optional live Google Shopping and Amazon data for pricing and keyword gaps.
$ npx skills add AgriciDaniel/claude-seo --skill seo-ecommerce -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AgriciDaniel/claude-seo seo-ecommerce --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/seo-ecommerce .claude/skills/seo-ecommerce && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "seo-ecommerce" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-ecommerce into .claude/skills/seo-ecommerce/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-ecommerce", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-ecommerceType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add AgriciDaniel/claude-seo --skill seo-ecommerce -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AgriciDaniel/claude-seo seo-ecommerce --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/seo-ecommerce .agents/skills/seo-ecommerce && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "seo-ecommerce" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-ecommerce into .agents/skills/seo-ecommerce/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-ecommerce", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AgriciDaniel/claude-seo --skill seo-ecommerce -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AgriciDaniel/claude-seo seo-ecommerce --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/seo-ecommerce .cursor/skills/seo-ecommerce && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "seo-ecommerce" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-ecommerce into .cursor/skills/seo-ecommerce/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-ecommerce", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/AgriciDaniel/claude-seo.git --path skills/seo-ecommerce--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add AgriciDaniel/claude-seo --skill seo-ecommerce -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AgriciDaniel/claude-seo seo-ecommerce --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/seo-ecommerce .gemini/skills/seo-ecommerce && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "seo-ecommerce" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-ecommerce into .gemini/skills/seo-ecommerce/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-ecommerce", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install AgriciDaniel/claude-seo seo-ecommerceInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add AgriciDaniel/claude-seo --skill seo-ecommerce -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/seo-ecommerce .github/skills/seo-ecommerce && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "seo-ecommerce" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-ecommerce into .github/skills/seo-ecommerce/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-ecommerce", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AgriciDaniel/claude-seo --skill seo-ecommerce -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AgriciDaniel/claude-seo seo-ecommerce --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/seo-ecommerce .opencode/skills/seo-ecommerce && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "seo-ecommerce" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-ecommerce into .opencode/skills/seo-ecommerce/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-ecommerce", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
seo-ecommerceAnalyzes a product page or store for SEO, from title tags and schema to marketplace visibility, with optional live Google Shopping and Amazon data for pricing and keyword gaps.
This skill covers product-page SEO that works standalone on title tags, meta descriptions, heading structure, image optimization and internal linking, and extends into marketplace intelligence and pricing analysis when the DataForSEO Merchant API is connected. Without that API it can still render and parse any product page and check it against a product SEO checklist, for example requiring the title tag to stay under 60 characters and follow a product-feature-brand format, or requiring at least three images including a hero, detail and lifestyle shot.
With DataForSEO enabled, additional commands analyze Google Shopping competitive positioning for a keyword, find keyword gaps between organic and Shopping visibility for a domain, and validate or enhance product schema. The skill is scoped explicitly to stores, catalogs and product listings, not general content pages.
Supporting references cover marketplace endpoint details and the Universal Commerce Protocol, used when the audit needs to reason about how marketplaces surface product data.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 4b99de2. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and json).
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
schema.orgFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Enhanced with DataForSEO Merchant API (optional)
From compatibility in the SKILL.md frontmatter.
E-commerce SEO Analysis loads about 3.7k tokens when it runs, and up to ~6.8k if it reads all its reference files. Until then it costs about 46 tokens; SKILL.md has 1,330 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from AgriciDaniel/claude-seo at commit 4b99de2, republished under its MIT licence (© AgriciDaniel). 1,330 words, ~3,731 tokens.
.claude/skills/seo-ecommerce/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Comprehensive product page optimization, marketplace intelligence, and competitive pricing analysis. Works standalone (on-page + schema) and with DataForSEO Merchant API for live Google Shopping and Amazon data.
| Command | Purpose | DataForSEO? |
|---|---|---|
/seo ecommerce <url> | Full e-commerce SEO analysis of a product page or store | Optional |
/seo ecommerce products <keyword> | Google Shopping competitive analysis | Required |
/seo ecommerce gaps <domain> | Keyword gap: organic vs Shopping visibility | Required |
/seo ecommerce schema <url> | Product schema validation and enhancement | No |
Fetch and parse any product page for on-page SEO quality.
1. "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run render_page.py <url> --mode auto → raw/rendered HTML
2. "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run parse_html.py --url <url> → SEO elements
3. Analyze product-specific signals (below)[Product Name] - [Key Feature] | [Brand]IMG_001.jpg)| Category | Weight | Criteria |
|---|---|---|
| Schema completeness | 25% | Required + recommended Product fields |
| Title & meta | 15% | Keyword placement, length, format |
| Image optimization | 20% | Alt text, format, sizing, count |
| Content quality | 20% | Unique description, specs, reviews |
| Internal linking | 10% | Breadcrumbs, related products, categories |
| Technical | 10% | Page speed, mobile rendering, canonical |
Live competitive analysis from Google Shopping results.
Before EVERY Merchant API call:
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_costs.py check merchant_google_products_search"status": "approved" -- proceed"status": "needs_approval" -- show cost, ask user"status": "blocked" -- stop, inform userAfter each call:
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_costs.py log merchant_google_products_search <cost># Product search: who sells what at what price
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_merchant.py search "<keyword>" --marketplace google
# Seller analysis: merchant ratings and dominance
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_merchant.py sellers "<keyword>"
# Normalize results for analysis
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_normalize.py results.json --module merchantLoad references/marketplace-endpoints.md for full API parameter details.
Cross-marketplace intelligence comparing Google Shopping and Amazon.
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_costs.py check merchant_amazon_products_searchAmazon endpoints are in the warn_endpoints set -- always requires user approval.
# Amazon product search
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_merchant.py search "<keyword>" --marketplace amazon
# Cross-marketplace comparison
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_merchant.py compare "<keyword>"| Metric | Google Shopping | Amazon |
|---|---|---|
| Avg price | $ | $ |
| Median rating | X.X | X.X |
| Avg review count | N | N |
| Top seller share | % | % |
| Free shipping % | % | % |
Identify mismatches between organic and Shopping visibility.
dataforseo_labs_google_ranked_keywords for domainmerchant_google_products_search):
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_merchant.py search <keyword>
for the top organic keywords| Gap Type | Meaning | Action |
|---|---|---|
| Organic Only | Ranks organically but no Shopping ads | Create Google Merchant Center feed, bid on these keywords |
| Shopping Only | Shopping visibility but weak/no organic | Create content (buying guides, comparison pages) for these keywords |
| Both Present | Visible in both channels | Optimize: ensure price consistency, enhance schema |
| Neither | No visibility in either | Low priority unless high volume |
## Keyword Gap Analysis: example.com
### Opportunities: Organic → Shopping (12 keywords)
| Keyword | Organic Pos | Volume | CPC | Recommended Action |
|---------|------------|--------|-----|-------------------|
### Opportunities: Shopping → Organic (8 keywords)
| Keyword | Shopping Rank | Volume | CPC | Content Type Needed |
|---------|-------------|--------|-----|-------------------|Validate and generate Product schema following Google's current requirements.
Confirmed required fields are name, image, and offers; use Offer, not AggregateOffer, for merchant listings. Merchant listings require a price greater than zero, and priceCurrency whenever price is set.
{
"@context": "https://schema.org",
"@type": "Product",
"name": "",
"image": [""],
"offers": {
"@type": "Offer",
"url": "",
"priceCurrency": "USD",
"price": "49.00",
"availability": "https://schema.org/InStock"
}
}sku -- product identifierdescription, brand, offers.seller -- recommended context fieldsgtin13 / gtin14 / mpn -- global trade identifiersaggregateRating -- star rating + review countreview -- individual reviews (minimum 1)color, material, size -- variant attributesshippingDetails -- ShippingDetails with rate and delivery time (merchant-level shipping via ShippingService is also supported; shipping/returns can be set in Search Console without a Merchant Center account)hasMerchantReturnPolicy -- MerchantReturnPolicy with type and dayshasAdultConsideration -- required for adult-oriented products (added 2026-05-20 to Product variant / Merchant listing); Google Search supports only the value https://schema.org/SexualContentConsiderationcategory -- Text, CategoryCode, or an array mixing both. Use custom
text for merchant-defined product types and CategoryCode with Google's
taxonomy URL plus codeValue for Google Product Categories.price must be a number string, not "$29.99" (no currency symbol)availability must use full Schema.org URL enumimage should be array with >= 1 high-res image URLpriceCurrency must be ISO 4217 (USD, EUR, GBP)brand is present, brand.name must not be empty or "N/A"validFrom plus either validThrough or
priceValidUntil, in ISO 8601 format. Include time and timezone when known.aggregateRating present: ratingValue and reviewCount required (the merchant-listing docs list reviewCount; the review-snippet docs also accept ratingCount)| Completeness | Score |
|---|---|
| All required fields | 50/100 |
| + aggregateRating | 65/100 |
| + sku/gtin/mpn | 75/100 |
| + shippingDetails | 85/100 |
| + merchantReturnPolicy | 90/100 |
| + reviews (3+) | 100/100 |
| Skill | Integration Point |
|---|---|
| seo-schema | Delegates Product schema generation; reuses validation logic |
| seo-images | Product image audit (alt text, format, dimensions), plus DigitalSourceType: TrainedAlgorithmicMedia IPTC label for AI-generated product images (Merchant Center requirement) |
| seo-content | Product description E-E-A-T and uniqueness analysis |
| seo-dataforseo | Organic keyword rankings for gap analysis |
| seo-technical | Core Web Vitals for product pages (LCP on hero image) |
| seo-hreflang | Region-specific result units: in the EEA, product and (since 2026-09-18) local business queries can show aggregator and supplier units; the EEA, South Africa and Türkiye also have structured data carousels, each with its own eligibility rules (documented 2026-09-08) |
| seo-google | GSC indexation + Performance data for product URLs (NOT Merchant Center feed validation, that is done in Merchant Center / the Merchant API; the legacy Content API for Shopping sunsets 2026-08-18) |
Google-initiated open standard (co-developed with Shopify, Etsy, Wayfair,
Target, Walmart; payment partners Visa/Mastercard/Stripe/Adyen/Amex) for
letting AI agents discover, negotiate, and transact with merchants without
one-off integrations. Google confirms a first reference implementation for
conversational buying in AI Mode in Search. Broader Universal Cart rollout
details are reported from Google I/O 2026 keynote coverage; not confirmed on a
Google-owned source. ucp.dev lists 2026-08-25 as the latest spec release (Google's merchant
guide still documents 2026-04-08) in its date-based versioning scheme, not 1.0; two integration paths: Native
(default) and Embedded (approved merchants). Pairs with AP2 (reportedly
moving toward FIDO governance). Canonical: developers.google.com/merchant/ucp
and ucp.dev.
Merchants already on Google Merchant Center with clean Product schema can
declare a UCP profile at /.well-known/ucp listing capabilities
(dev.ucp.shopping.checkout, .fulfillment, .discount). See
references/ucp-universal-commerce-protocol.md for audit criteria,
capability examples, and the relationship to AP2 (Agent Payments Protocol).
# Discover and validate the UCP profile
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run ucp_check.py https://store.example.com --json
# With endpoint reachability probes (HEAD each declared capability)
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run ucp_check.py https://store.example.com --probe-endpoints --jsonThe script returns: profile presence, version, declared capabilities,
structural issues (missing fields, unknown capability IDs), and (with
--probe-endpoints) per-endpoint reachability. SSRF-blocked endpoints are
reported explicitly. Missing profile is reported as opportunity, not failure.
UCP itself is live; what's early is broad merchant adoption. Flag a literal
"version": "1.0" as invalid (UCP versions are date-based, e.g. 2026-04-08).
| Error | Cause | Response |
|---|---|---|
| No Product schema found | Page lacks JSON-LD | Analyze page content, generate recommended schema |
| DataForSEO credentials missing | Env vars not set | Run analysis without marketplace data, note limitation |
| Cost check blocked | Daily budget exceeded | Inform user, offer free-only analysis |
| Empty Shopping results | No products for keyword | Suggest broader keyword, check location settings |
| Amazon API timeout | Network/rate limit | Retry with backoff, fall back to Google-only |
| Invalid URL | Malformed input | Validate via google_auth.validate_url(), show error |
| Non-product page | URL is category/homepage | Run the store-level checks (UCP profile, category structure, feeds) and ask for a product URL for the product-level checks |
## E-commerce SEO Report: [URL or Keyword]
### Overall Score: XX/100
### Product Page SEO
- Schema Completeness: XX/100
- Title & Meta: XX/100
- Image Optimization: XX/100
- Content Quality: XX/100
- Internal Linking: XX/100
### Marketplace Intelligence (if DataForSEO available)
- Google Shopping Listings: N products found
- Price Range: $XX - $XX (median: $XX)
- Top Seller: [name] (XX% market share)
- Amazon Comparison: [available/not checked]
### Top Recommendations
1. [Critical] ...
2. [High] ...
3. [Medium] ...
Generate a PDF report? Use `/seo google report`© AgriciDaniel, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in skills/seo-ecommerce of AgriciDaniel/claude-seo.
Open the folder on GitHubat commit 4b99de2
E-commerce SEO Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| E-commerce SEO Analysis this skillAgriciDaniel/claude-seo | 19k | — | ~3.7k | Automated safety check: Pass | MIT | |
| Amazon Listing Competitor Analysisbrowser-act/skills | 6.1k | 1 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Ecommerce Keyword Researchnexscope-ai/eCommerce-Skills | 1.1k | — | ~645 | Automated safety check: Pass | MIT | |
| Product Page SEOnexscope-ai/eCommerce-Skills | 1.1k | — | ~600 | Automated safety check: Pass | MIT | |
| Amazon Listing Optimizationnexscope-ai/Amazon-Skills | 744 | 1 repos | ~4.3k | Automated safety check: Pass | MIT | |
| SEO Content Briefseranking/seo-skills | 161 | — | ~2.5k | Automated safety check: Pass | MIT |
browser-act/skills
Analyzes a competitor's Amazon listing by ASIN with BrowserAct data extraction, then reports what it does well, where the market has gaps and opportunity points for your own listing.
nexscope-ai/eCommerce-Skills
Cross-platform keyword research for e-commerce. An agent skill from nexscope-ai/eCommerce-Skills.
nexscope-ai/eCommerce-Skills
Optimize e-commerce product pages for search engine visibility.
nexscope-ai/Amazon-Skills
Amazon listing builder and optimizer for sellers. An agent skill from nexscope-ai/Amazon-Skills.
seranking/seo-skills
Generate a writer-ready SEO content brief from a target domain and topic.
AgriciDaniel/claude-blog
SERP-informed outline generation with H2/H3 heading hierarchy, competitive content gap analysis, section-by-section word count targets, chart and image placement markers, optional FAQ question…
AgriciDaniel/claude-seo
Audits, validates and generates hreflang tags for multi-language and multi-region sites in HTML, HTTP headers or XML sitemaps, flagging common code and return-tag mistakes.
AgriciDaniel/claude-seo
Pulls real Google data for SEO work: Search Console, PageSpeed Insights, CrUX field data, the Indexing API and GA4 organic traffic, through /seo google commands.
AgriciDaniel/claude-seo
Clusters keywords by how much their search results overlap and designs a hub-and-spoke content plan with an internal link matrix and an interactive cluster map.
AgriciDaniel/claude-seo
Builds research-backed SEO content briefs with competitor scoring, per-section word counts and page-type templates, for new pages or improving existing ones.
AgriciDaniel/claude-seo
Brings the FLOW framework's stage-specific SEO prompts into the agent, from keyword discovery through backlinks, on-page work and conversion to local SEO, loaded on demand.
AgriciDaniel/claude-seo
Generates Open Graph previews, blog hero images, product photos and infographics for SEO use through Gemini image tools and the banana extension.
Categories
Analyzes a product page or store for SEO, from title tags and schema to marketplace visibility, with optional live Google Shopping and Amazon data for pricing and keyword gaps. This skill covers product-page SEO that works standalone on title tags, meta descriptions, heading structure, image optimization and internal linking, and extends into marketplace intelligence and pricing analysis when the DataForSEO Merchant API is connected. Without that API it can still render and parse any product page and check it against a product SEO checklist, for example requiring the title tag to stay under 60 characters and follow a product-feature-brand format, or requiring at least three images including a hero, detail and lifestyle shot.
E-commerce SEO Analysis fits situations like: auditing a product page's title tag, meta description and heading structure; checking a product catalog's images and internal linking for SEO gaps; comparing Google Shopping visibility against organic rankings for a domain; validating or improving product schema markup.
Run `npx skills add AgriciDaniel/claude-seo --skill seo-ecommerce -a claude-code`. Or copy the skill folder (skills/seo-ecommerce in AgriciDaniel/claude-seo) into .claude/skills/seo-ecommerce in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AgriciDaniel/claude-seo --skill seo-ecommerce -a codex`. Or copy the skill folder (skills/seo-ecommerce in AgriciDaniel/claude-seo) into .agents/skills/seo-ecommerce in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AgriciDaniel/claude-seo --skill seo-ecommerce -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seo-ecommerce, .gemini/skills/seo-ecommerce, .github/skills/seo-ecommerce and .opencode/skills/seo-ecommerce in your project.
SKILL.md names no scripts, command-line tools or credentials: E-commerce SEO Analysis is instructions for the agent only. Our summary lists: The bundled claude-seo CLI scripts; Optionally a DataForSEO Merchant API key for Shopping and marketplace data. Compatibility (from SKILL.md): Enhanced with DataForSEO Merchant API (optional).
SKILL.md names 1 domain. In commands or code: schema.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
E-commerce SEO Analysis is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with E-commerce SEO Analysis: Amazon Listing Competitor Analysis (browser-act/skills, 6.1k stars), Ecommerce Keyword Research (nexscope-ai/eCommerce-Skills, 1.1k stars), Product Page SEO (nexscope-ai/eCommerce-Skills, 1.1k stars) and Amazon Listing Optimization (nexscope-ai/Amazon-Skills, 744 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
AgriciDaniel (a GitHub user) maintains it in AgriciDaniel/claude-seo, which has 18,627 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 4, 2026.
Source: AgriciDaniel/claude-seo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.