List Segment Builder
aaron-he-zhu/aaron-marketing-skills
A skill your agent uses when the user asks to "build email segments from my list", "make engaged / lapsed / RFM segments", "set up cart-abandoner or lifecycle-stage audiences", or "build a…
E-commerce SEO analysis: Google Shopping visibility, Amazon marketplace intelligence, product schema validation, competitor pricing analysis, and marketplace keyword gaps.
Install SEO Ecommerce
$ npx skills add AgriciDaniel/codex-seo --skill seo-ecommerce -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AgriciDaniel/codex-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/codex-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/codex-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/codex-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/codex-seo --skill seo-ecommerce -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AgriciDaniel/codex-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/codex-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/codex-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/codex-seo --skill seo-ecommerce -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AgriciDaniel/codex-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/codex-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/codex-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/codex-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/codex-seo --skill seo-ecommerce -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AgriciDaniel/codex-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/codex-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/codex-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/codex-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/codex-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/codex-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/codex-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/codex-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/codex-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/codex-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/codex-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.
Facts
- Skill name
seo-ecommerce- GitHub stars
- 799
- Used in
- 2 other repos
- Token cost
- ~3k tokens
- SKILL.md length
- 1,008 words
- Files
- 2 (incl. references)
- Skills in repo
- 18
- Repo updated
- First seen
- Licence
- MIT
At a glance
E-commerce SEO analysis: Google Shopping visibility, Amazon marketplace intelligence, product schema validation, competitor pricing analysis, and marketplace keyword gaps.
- Works in 5 steps: Product Page Analysis (No DataForSEO… → Google Shopping Intelligence (DataForSEO… → Amazon Marketplace (DataForSEO) → …
- User says ecommerce SEO
- SKILL.md covers Shared Data Cache, Commands, 1. Product Page Analysis (No… and 2. Google Shopping…, plus 7 more sections
- Calls python; reaches schema.org
What it does
SEO Ecommerce is an agent skill from AgriciDaniel/codex-seo. E-commerce SEO analysis: Google Shopping visibility, Amazon marketplace intelligence, product schema validation, competitor pricing analysis, and marketplace keyword gaps. Combines on-page product SEO with marketplace data from DataForSEO Merchant API. Use when user says "ecommerce SEO", "product SEO", "Google Shopping", "marketplace SEO", "product schema", "Amazon SEO", "product listings", "shopping ads", or "merchant SEO".
Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/marketplace-endpoints.md`). Compatibility notes: Enhanced with DataForSEO Merchant API (optional)
It sits in Sales & Support, covering E-commerce operations. The repository describes itself as: Codex-first SEO skill suite. 26 workflows, 24 TOML agents, DataForSEO/Gemini/Google/Firecrawl integrations, GEO/AEO, CWV, schema, backlinks, local/maps, and deterministic reports. The licence is MIT.
When your agent uses it
- User says ecommerce SEO
- Google Shopping
- Marketplace SEO
- Product listings
Example prompts
- “ecommerce SEO”
- “product SEO”
- “Google Shopping”
- “/seo-ecommerce”
Requirements
- Python 3
- Compatibility (from SKILL.md): Enhanced with DataForSEO Merchant API (optional)
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 9a644f6. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
schema.org
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Enhanced with DataForSEO Merchant API (optional)
From compatibility in the SKILL.md frontmatter.
Context cost
SEO Ecommerce loads about 3k tokens when it runs, and up to ~3.9k if it reads all its reference files. Until then it costs about 111 tokens; SKILL.md has 1,008 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from AgriciDaniel/codex-seo at commit 9a644f6, republished under its MIT licence (© AgriciDaniel). 1,008 words, ~2,990 tokens.
Download SKILL.mdSave it as
.claude/skills/seo-ecommerce/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- seo-ecommerce
- description
- E-commerce SEO analysis: Google Shopping visibility, Amazon marketplace intelligence, product schema validation, competitor pricing analysis, and marketplace keyword gaps. Combines on-page product SEO with marketplace data from DataForSEO Merchant API. Use when user says "ecommerce SEO", "product SEO", "Google Shopping", "marketplace SEO", "product schema", "Amazon SEO", "product listings", "shopping ads", or "merchant SEO".
- compatibility
- Enhanced with DataForSEO Merchant API (optional)
- user-invokable
- true
- argument-hint
- <url or keyword>
- license
- MIT
- metadata.author
- AgriciDaniel
- metadata.original_author
- Matej Marjanovic (Pro Hub Challenge)
- metadata.version
- 1.9.6
- metadata.category
- seo
E-commerce SEO Analysis
Shared Data Cache
Step 0 -- Check shared data cache:
Before gathering, check .seo-cache/ for reusable context from related SEO skills.
Reference: ../seo/references/shared-data-cache.md for schemas and dependency map.
Check these cache files when present:
.seo-cache/site-meta.jsonfor domain, business type, industry, and crawl context.seo-cache/audit-scores.jsonfor prior full-audit priorities.seo-cache/pages/{url-slug}/page-analysis.jsonfor page-level context when a URL is providedIf found: parse and use clearly valid fields (note "Using cached [X] from [date]")
If missing, corrupt, or irrelevant: continue with fresh evidence
If the user says "refresh" or "re-run": ignore cache reads and overwrite on write
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.
Commands
| 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 |
1. Product Page Analysis (No DataForSEO Needed)
Fetch and parse any product page for on-page SEO quality.
Workflow
1. python scripts/fetch_page.py <url> → raw HTML
2. python scripts/parse_html.py --url <url> → SEO elements
3. Analyze product-specific signals (below)Product SEO Checklist
Title Tag
- Contains primary product keyword
- Includes brand name
- Under 60 characters (no truncation in SERPs)
- Format:
[Product Name] - [Key Feature] | [Brand]
Meta Description
- Contains product keyword + benefit
- Includes price or "from $XX" (triggers rich snippet interest)
- Call-to-action present (Shop now, Buy, Free shipping)
- Under 155 characters
Heading Structure
- Single H1 matching primary product name
- H2s for: Features, Specifications, Reviews, Related Products
- No duplicate H1 tags across product variants
Product Images
- Alt text includes product name + distinguishing feature
- File names are descriptive (not
IMG_001.jpg) - WebP format served (with JPEG fallback)
- At least 3 images per product (hero, detail, lifestyle)
- Image dimensions >= 800px for Google Shopping eligibility
- Lazy loading on below-fold images only
Internal Linking
- Breadcrumb navigation: Home > Category > Subcategory > Product
- Related products section (cross-sell / upsell)
- Link back to category page with keyword-rich anchor
- Reviews section links to full review page (if separate)
Content Quality
- Unique product description (not manufacturer copy-paste)
- Word count >= 200 for product description body
- Specs table present (not just prose)
- User reviews on-page (UGC signals)
Scoring
| 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 |
2. Google Shopping Intelligence (DataForSEO Merchant API)
Live competitive analysis from Google Shopping results.
Cost Guardrail (MANDATORY)
Before EVERY Merchant API call:
python scripts/dataforseo_costs.py check merchant_google_products_search"status": "approved"-- proceed"status": "needs_approval"-- show cost, ask user"status": "blocked"-- stop, inform user
After each call:
python scripts/dataforseo_costs.py log merchant_google_products_search <cost>Workflow
# Product search: who sells what at what price
python scripts/dataforseo_merchant.py search "<keyword>" --marketplace google
# Seller analysis: merchant ratings and dominance
python scripts/dataforseo_merchant.py sellers "<keyword>"
# Normalize results for analysis
python scripts/dataforseo_normalize.py results.json --module merchantAnalysis Outputs
Pricing Intelligence
- Price distribution: min, max, median, P25, P75
- Price outliers (> 2 standard deviations from median)
- Price-to-rating correlation
- Currency normalization to USD (or user-specified)
Seller Landscape
- Top 10 sellers by listing count
- Merchant rating distribution
- Free shipping prevalence
- New vs established sellers
Product Listing Quality
- Title keyword patterns in top listings
- Average rating and review count benchmarks
- Image count per listing
- Availability status distribution
Load references/marketplace-endpoints.md for full API parameter details.
3. Amazon Marketplace (DataForSEO)
Cross-marketplace intelligence comparing Google Shopping and Amazon.
Cost Guardrail (MANDATORY)
python scripts/dataforseo_costs.py check merchant_amazon_products_searchAmazon endpoints are in the warn_endpoints set -- always requires user approval.
Workflow
# Amazon product search
python scripts/dataforseo_merchant.py search "<keyword>" --marketplace amazon
# Cross-marketplace comparison
python scripts/dataforseo_merchant.py compare "<keyword>"Cross-Marketplace Report
| Metric | Google Shopping | Amazon |
|---|---|---|
| Avg price | $ | $ |
| Median rating | X.X | X.X |
| Avg review count | N | N |
| Top seller share | % | % |
| Free shipping % | % | % |
4. Marketplace Keyword Gaps
Identify mismatches between organic and Shopping visibility.
Workflow
- Fetch organic rankings via seo-dataforseo:
dataforseo_labs_google_ranked_keywordsfor domain - Fetch Google Shopping presence via Merchant API:
merchant_google_products_searchfor top organic keywords - Cross-reference results
Show full SKILL.md (404 more words)Show less
Gap Types
| 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 |
Output Format
## 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 |
|---------|-------------|--------|-----|-------------------|5. Product Schema Enhancement
Validate and generate Product schema following Google's current requirements.
Required Properties (Google Merchant)
{
"@context": "https://schema.org",
"@type": "Product",
"name": "",
"image": [""],
"description": "",
"brand": { "@type": "Brand", "name": "" },
"offers": {
"@type": "Offer",
"url": "",
"priceCurrency": "USD",
"price": "0.00",
"availability": "https://schema.org/InStock",
"seller": { "@type": "Organization", "name": "" }
}
}Recommended Properties (Enhance Rich Results)
sku-- product identifiergtin13/gtin14/mpn-- global trade identifiersaggregateRating-- star rating + review countreview-- individual reviews (minimum 1)color,material,size-- variant attributesshippingDetails-- ShippingDetails with rate and delivery timehasMerchantReturnPolicy-- MerchantReturnPolicy with type and days
Validation Rules
pricemust be a number string, not "$29.99" (no currency symbol)availabilitymust use full Schema.org URL enumimageshould be array with >= 1 high-res image URLpriceCurrencymust be ISO 4217 (USD, EUR, GBP)brand.namemust not be empty or "N/A"- Dates in
priceValidUntilmust be ISO 8601 - If
aggregateRatingpresent:ratingValueandreviewCountrequired
Schema Scoring
| 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 |
Cross-Skill Integration
| Skill | Integration Point |
|---|---|
| seo-schema | Delegates Product schema generation; reuses validation logic |
| seo-images | Product image audit (alt text, format, dimensions) |
| 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-google | Google Merchant Center feed validation via GSC |
Error Handling
| 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 | Detect page type, suggest /seo ecommerce schema instead |
Output Template
## 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`Write to shared data cache
After completing all work, write a concise JSON summary to .seo-cache/ when the workflow produced durable findings.
Use the schemas and naming rules in ../seo/references/shared-data-cache.md; include at least cache_type, analyzed_at, source URL/domain, key findings, issues, recommendations, and tool limitations. Add .seo-cache/ to .gitignore if it is missing.
© AgriciDaniel, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in skills/seo-ecommerce of AgriciDaniel/codex-seo.
- SKILL.md
- references/marketplace-endpoints.md
Open the folder on GitHubat commit 9a644f6
Used in 3 other repositories
We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in AgriciDaniel/codex-seo, which our catalogue first saw on October 7, 2026.
Compare with similar skills
SEO Ecommerce 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 |
|---|---|---|---|---|---|---|
| SEO Ecommerce this skillAgriciDaniel/codex-seo | 799 | 2 repos | ~3k | Automated safety check: Pass | MIT | |
| List Segment Builderaaron-he-zhu/aaron-marketing-skills | 2.9k | 2 repos | ~3.2k | Automated safety check: Pass | Apache-2.0 | |
| Trust Signalsthedaviddias/Front-End-Checklist | 74k | — | ~619 | Automated safety check: Pass | MIT | |
| Amazon Seller Analyticsnexscope-ai/Amazon-Skills | 744 | — | ~3.4k | Automated safety check: Pass | MIT | |
| Domain ResearchOpenClaudia/openclaudia-skills | 713 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Brand Packagingarnabbagxd/Brand-building-skills | 729 | — | ~2k | Automated safety check: Pass | MIT |
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Questions about SEO Ecommerce
What does SEO Ecommerce do?
E-commerce SEO analysis: Google Shopping visibility, Amazon marketplace intelligence, product schema validation, competitor pricing analysis, and marketplace keyword gaps. SEO Ecommerce is an agent skill from AgriciDaniel/codex-seo. E-commerce SEO analysis: Google Shopping visibility, Amazon marketplace intelligence, product schema validation, competitor pricing analysis, and marketplace keyword gaps.
When should I use SEO Ecommerce?
SEO Ecommerce fits situations like: user says ecommerce SEO; google Shopping; marketplace SEO; product listings.
How do I install SEO Ecommerce in Claude Code?
Run `npx skills add AgriciDaniel/codex-seo --skill seo-ecommerce -a claude-code`. Or copy the skill folder (skills/seo-ecommerce in AgriciDaniel/codex-seo) into .claude/skills/seo-ecommerce in your project. Claude Code loads it when a task matches its description.
How do I install SEO Ecommerce in Codex?
Run `npx skills add AgriciDaniel/codex-seo --skill seo-ecommerce -a codex`. Or copy the skill folder (skills/seo-ecommerce in AgriciDaniel/codex-seo) into .agents/skills/seo-ecommerce in your project. Codex loads it when a task matches its description.
Can I use SEO Ecommerce in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AgriciDaniel/codex-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.
What does SEO Ecommerce need to run?
Going by SKILL.md and its folder, SEO Ecommerce needs the command-line tools its instructions call (python). Our summary lists: Python 3. Compatibility (from SKILL.md): Enhanced with DataForSEO Merchant API (optional).
Does SEO Ecommerce access the network?
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.
Is SEO Ecommerce safe to install?
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.
What licence does SEO Ecommerce use?
SEO Ecommerce is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does SEO Ecommerce use?
About 3k tokens (SKILL.md is roughly 12k 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 951 tokens, read only when the agent opens those files.
What are the alternatives to SEO Ecommerce?
Skills that share tags, products or a category with SEO Ecommerce: List Segment Builder (aaron-he-zhu/aaron-marketing-skills, 2.9k stars), Trust Signals (thedaviddias/Front-End-Checklist, 74k stars), Amazon Seller Analytics (nexscope-ai/Amazon-Skills, 744 stars) and Domain Research (OpenClaudia/openclaudia-skills, 713 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains SEO Ecommerce?
AgriciDaniel (a GitHub user) maintains it in AgriciDaniel/codex-seo, which has 799 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on September 11, 2026.
Source: AgriciDaniel/codex-seo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.