Pull real SEO metrics for any domain using Apify scrapers for Semrush and Ahrefs data.
$ npx skills add gooseworks-ai/goose-skills --skill seo-domain-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills seo-domain-analyzer --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/seo/capabilities/seo-domain-analyzer .claude/skills/seo-domain-analyzer && 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-domain-analyzer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/seo/capabilities/seo-domain-analyzer into .claude/skills/seo-domain-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-domain-analyzer", 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/gooseworks-ai/goose-skills/tree/main/skills/seo/capabilities/seo-domain-analyzerType 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 gooseworks-ai/goose-skills --skill seo-domain-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills seo-domain-analyzer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/seo/capabilities/seo-domain-analyzer .agents/skills/seo-domain-analyzer && 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-domain-analyzer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/seo/capabilities/seo-domain-analyzer into .agents/skills/seo-domain-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-domain-analyzer", 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 gooseworks-ai/goose-skills --skill seo-domain-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills seo-domain-analyzer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/seo/capabilities/seo-domain-analyzer .cursor/skills/seo-domain-analyzer && 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-domain-analyzer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/seo/capabilities/seo-domain-analyzer into .cursor/skills/seo-domain-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-domain-analyzer", 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/gooseworks-ai/goose-skills.git --path skills/seo/capabilities/seo-domain-analyzer--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 gooseworks-ai/goose-skills --skill seo-domain-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills seo-domain-analyzer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/seo/capabilities/seo-domain-analyzer .gemini/skills/seo-domain-analyzer && 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-domain-analyzer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/seo/capabilities/seo-domain-analyzer into .gemini/skills/seo-domain-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-domain-analyzer", 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 gooseworks-ai/goose-skills seo-domain-analyzerInstalls 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 gooseworks-ai/goose-skills --skill seo-domain-analyzer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/seo/capabilities/seo-domain-analyzer .github/skills/seo-domain-analyzer && 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-domain-analyzer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/seo/capabilities/seo-domain-analyzer into .github/skills/seo-domain-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-domain-analyzer", 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 gooseworks-ai/goose-skills --skill seo-domain-analyzer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills seo-domain-analyzer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/seo/capabilities/seo-domain-analyzer .opencode/skills/seo-domain-analyzer && 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-domain-analyzer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/seo/capabilities/seo-domain-analyzer into .opencode/skills/seo-domain-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-domain-analyzer", 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-domain-analyzerPull real SEO metrics for any domain using Apify scrapers for Semrush and Ahrefs data.
SEO Domain Analyzer is an agent skill from gooseworks-ai/goose-skills. Pull real SEO metrics for any domain using Apify scrapers for Semrush and Ahrefs data. Gets domain authority, organic traffic estimates, keyword rankings, backlink profiles, top performing pages, and auto-discovers competitors from keyword overlap. No Semrush/Ahrefs subscription needed — uses Apify actors that scrape public pages.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/analyze_domain.py` and `skill.meta.json`).
It sits in Marketing & SEO, covering Web scraping and Link building. It works with Apify and Ahrefs. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c650c6d. 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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
APIFY_API_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
SEO Domain Analyzer loads about 2.2k tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 623 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); the scripts in this folder are not scanned.
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 623 words, ~2,208 tokens.
.claude/skills/seo-domain-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Pull real SEO performance data for any domain — no Semrush or Ahrefs subscription needed. Uses Apify actors that scrape Semrush/Ahrefs public pages to get authority scores, traffic estimates, keyword rankings, backlink profiles, and competitor discovery.
# Basic domain analysis
python3 scripts/analyze_domain.py --domain "example.com"
# With competitor comparison
python3 scripts/analyze_domain.py \
--domain "example.com" \
--competitors "competitor1.com,competitor2.com,competitor3.com"
# Check specific keywords
python3 scripts/analyze_domain.py \
--domain "example.com" \
--keywords "cloud cost optimization,reduce aws bill,finops tools"
# Save output
python3 scripts/analyze_domain.py \
--domain "example.com" --output seo-profile.json| Parameter | Required | Default | Description |
|---|---|---|---|
| domain | Yes | — | Domain to analyze (e.g., "example.com") |
| competitors | No | auto-discovered | Comma-separated competitor domains |
| keywords | No | auto-inferred | Specific keywords to check rankings for |
| output | No | stdout | Path to save JSON output |
| skip-backlinks | No | false | Skip Ahrefs backlink analysis (saves ~$0.10) |
| Data Source | Apify Actor | Est. Cost |
|---|---|---|
| Domain overview (Semrush) | devnaz/semrush-scraper | ~$0.10/domain |
| Backlink profile (Ahrefs) | radeance/ahrefs-scraper | ~$0.10/domain |
| Keyword rank checks | apify/google-search-scraper | ~$0.002/keyword |
| Typical full run | ~$0.50-1.00 | |
| With 3 competitors | ~$1.50-3.00 |
Use Apify actor devnaz/semrush-scraper to get:
# Actor: devnaz/semrush-scraper
# Input: domain URL
{
"urls": ["https://example.com"]
}Extracted metrics:
Use Apify actor radeance/ahrefs-scraper to get:
# Actor: radeance/ahrefs-scraper
# Input: domain for backlink analysis
{
"urls": ["https://example.com"],
"mode": "domain-overview"
}Extracted metrics:
For specific keywords (user-provided or auto-inferred from Phase 1), verify actual rankings using Google search:
# Actor: apify/google-search-scraper
# Input: keyword queries
{
"queries": "cloud cost optimization",
"maxPagesPerQuery": 1,
"resultsPerPage": 10,
"countryCode": "us",
"languageCode": "en"
}For each keyword:
Keyword sources (in priority order):
site:[domain] to see page titles)From the Semrush data, extract the highest-traffic pages:
If Semrush doesn't provide per-page data, supplement with:
site:[domain] and note which pages appear first (proxy for importance)site:[domain] blog for top blog contentCompetitors are identified from multiple sources:
For each competitor, run a lighter version of Phase 1 (domain overview only):
{
"domain": "example.com",
"analysis_date": "2026-02-25",
"domain_metrics": {
"semrush_authority_score": 45,
"ahrefs_domain_rating": 52,
"organic_monthly_traffic": 28500,
"organic_keywords": 1240,
"backlinks": 8930,
"referring_domains": 412,
"traffic_trend": "increasing"
},
"top_pages": [
{
"url": "https://example.com/blog/reduce-aws-costs",
"estimated_traffic": 3200,
"top_keyword": "reduce aws costs",
"ranking_keywords": 45
}
],
"keyword_rankings": [
{
"keyword": "cloud cost optimization",
"position": 4,
"url": "https://example.com/blog/cloud-cost-optimization-guide",
"serp_competitors": ["vantage.sh", "antimetal.com", "finout.io"]
}
],
"backlink_profile": {
"domain_rating": 52,
"total_backlinks": 8930,
"referring_domains": 412,
"dofollow_ratio": 0.78,
"top_referring_domains": ["techcrunch.com", "producthunt.com", ...],
"anchor_text_distribution": {
"branded": 0.45,
"keyword": 0.22,
"generic": 0.18,
"url": 0.15
}
},
"competitors": [
{
"domain": "competitor1.com",
"authority_score": 62,
"organic_traffic": 45000,
"organic_keywords": 2100,
"keyword_overlap": 340
}
]
}# SEO Domain Profile: example.com
**Date:** 2026-02-25
## Domain Metrics
| Metric | Value |
|--------|-------|
| Semrush Authority Score | 45/100 |
| Ahrefs Domain Rating | 52/100 |
| Monthly Organic Traffic | ~28,500 |
| Organic Keywords | 1,240 |
| Backlinks | 8,930 |
| Referring Domains | 412 |
| Traffic Trend | Increasing |
## Top Performing Pages
| # | URL | Est. Traffic | Top Keyword |
|---|-----|-------------|-------------|
| 1 | /blog/reduce-aws-costs | 3,200 | reduce aws costs |
| ... |
## Keyword Rankings
| Keyword | Position | URL | SERP Competitors |
|---------|----------|-----|-----------------|
| cloud cost optimization | #4 | /blog/cloud-cost... | vantage.sh, antimetal.com |
| ... |
## Backlink Profile
- Domain Rating: 52/100
- Referring Domains: 412
- Dofollow Ratio: 78%
- Top linking sites: TechCrunch, Product Hunt, ...
## Competitor Comparison
| Domain | Authority | Traffic | Keywords | Overlap |
|--------|-----------|---------|----------|---------|
| example.com | 45 | 28.5K | 1,240 | — |
| competitor1.com | 62 | 45K | 2,100 | 340 |
| ... |seo-traffic-analyzer skill which uses web search probes.If APIFY_API_TOKEN is not set or Apify actors fail, the script falls back to:
seo-traffic-analyzer skill)site:[domain] for indexed page countThis gives less precise data but still produces a useful report.
requests libraryAPIFY_API_TOKEN env var (for Apify mode; falls back to free probes without it)© gooseworks-ai, 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 (scripts) in skills/seo/capabilities/seo-domain-analyzer of gooseworks-ai/goose-skills.
Open the folder on GitHubat commit c650c6d
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 7, 2026.
SEO Domain Analyzer 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 Domain Analyzer this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Apify Link Prospecting Outreachapify/awesome-skills | 266 | — | ~11k | Automated safety check: Notes | Apache-2.0 | |
| Competitor Profilingsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Apify Ads Intelligenceapify/awesome-skills | 266 | — | ~4.2k | Automated safety check: Notes | Apache-2.0 | |
| SEO DataforseoAgriciDaniel/codex-seo | 799 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Global SEO Growthminhnv0807/ai-business-skills | 609 | — | ~5k | Automated safety check: Pass | MIT |
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Categories
Pull real SEO metrics for any domain using Apify scrapers for Semrush and Ahrefs data. SEO Domain Analyzer is an agent skill from gooseworks-ai/goose-skills. Pull real SEO metrics for any domain using Apify scrapers for Semrush and Ahrefs data.
SEO Domain Analyzer fits situations like: tasks that involve Web scraping; tasks that involve Link building.
Run `npx skills add gooseworks-ai/goose-skills --skill seo-domain-analyzer -a claude-code`. Or copy the skill folder (skills/seo/capabilities/seo-domain-analyzer in gooseworks-ai/goose-skills) into .claude/skills/seo-domain-analyzer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gooseworks-ai/goose-skills --skill seo-domain-analyzer -a codex`. Or copy the skill folder (skills/seo/capabilities/seo-domain-analyzer in gooseworks-ai/goose-skills) into .agents/skills/seo-domain-analyzer 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 gooseworks-ai/goose-skills --skill seo-domain-analyzer -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-domain-analyzer, .gemini/skills/seo-domain-analyzer, .github/skills/seo-domain-analyzer and .opencode/skills/seo-domain-analyzer in your project.
Going by SKILL.md and its folder, SEO Domain Analyzer needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named APIFY_API_TOKEN. Our summary lists: Python 3; A credential in APIFY_API_TOKEN.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
SEO Domain Analyzer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 8.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with SEO Domain Analyzer: Apify Link Prospecting Outreach (apify/awesome-skills, 266 stars), Competitor Profiling (sickn33/agentic-awesome-skills, 47k stars), Apify Ads Intelligence (apify/awesome-skills, 266 stars) and SEO Dataforseo (AgriciDaniel/codex-seo, 799 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
