Crawl4AI SEO Site Crawler
artwist-polyakov/polyakov-claude-skills
Crawls a site with Crawl4AI to audit titles, meta tags, H1s, canonicals, navigation and internal links, and to compare landing pages and competitor sites.
Comprehensive SEO footprint analysis. An agent skill from gooseworks-ai/goose-skills.
$ npx skills add gooseworks-ai/goose-skills --skill seo-content-audit -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills seo-content-audit --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/composites/seo-content-audit .claude/skills/seo-content-audit && 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-content-audit" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/seo/composites/seo-content-audit into .claude/skills/seo-content-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-content-audit", 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/composites/seo-content-auditType 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-content-audit -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills seo-content-audit --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/composites/seo-content-audit .agents/skills/seo-content-audit && 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-content-audit" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/seo/composites/seo-content-audit into .agents/skills/seo-content-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-content-audit", 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-content-audit -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills seo-content-audit --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/composites/seo-content-audit .cursor/skills/seo-content-audit && 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-content-audit" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/seo/composites/seo-content-audit into .cursor/skills/seo-content-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-content-audit", 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/composites/seo-content-audit--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-content-audit -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills seo-content-audit --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/composites/seo-content-audit .gemini/skills/seo-content-audit && 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-content-audit" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/seo/composites/seo-content-audit into .gemini/skills/seo-content-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-content-audit", 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-content-auditInstalls 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-content-audit -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/composites/seo-content-audit .github/skills/seo-content-audit && 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-content-audit" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/seo/composites/seo-content-audit into .github/skills/seo-content-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-content-audit", 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-content-audit -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-content-audit --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/composites/seo-content-audit .opencode/skills/seo-content-audit && 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-content-audit" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/seo/composites/seo-content-audit into .opencode/skills/seo-content-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-content-audit", 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-content-auditComprehensive SEO footprint analysis. An agent skill from gooseworks-ai/goose-skills.
SEO Content Audit is an agent skill from gooseworks-ai/goose-skills. Comprehensive SEO footprint analysis. Catalogs all content, pulls real SEO metrics (via Apify Semrush/Ahrefs scrapers or free web search probes), runs competitor analysis, builds topic/keyword and content-type gap matrices, and produces a prioritized recommendations report. The complete SEO audit for any company.
Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).
It sits in Marketing & SEO, covering Web scraping, On-page SEO and Web search. 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.
7 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From 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 Content Audit loads about 2.8k tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 726 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 gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 726 words, ~2,757 tokens.
.claude/skills/seo-content-audit/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.The complete SEO footprint analysis — content inventory, real SEO metrics, competitor comparison, gap matrices, and prioritized recommendations in one report.
Run an SEO content audit for [company]. Website: [url]. Competitors: [list].| Input | Required | Description |
|---|---|---|
| Company name | Yes | User provides |
| Company domain | Yes | e.g., "example.com" |
| Seed competitors | Recommended | 2-5 competitor domains; system discovers more |
| Target keywords | Optional | User provides; system also auto-discovers |
| Component | Est. Cost |
|---|---|
| Content catalog (target) | ~$0-0.50 (free unless Apify fallback needed) |
| Semrush data (target) | ~$0.10 |
| Ahrefs data (target) | ~$0.10 |
| Google rank checks (~30 keywords) | ~$0.06 |
| Competitor Semrush data (3-5 competitors) | ~$0.30-0.50 |
| Content catalog (competitors, lighter) | ~$0-1.00 |
| Brand voice extraction | Free (WebFetch) |
| Total typical audit | ~$1-3 |
Gather basics from the user: company name, domain, seed competitors, target keywords.
Crawl the target domain to build a complete content inventory:
Pull SEO metrics for the target domain:
APIFY_API_TOKEN is set, or web search probes as fallback)For each competitor (3-5 max), crawl their site to get:
No deep analysis needed for competitors — just structure and volume.
Using data from Phases 2-4, build two matrices:
Cross-reference the target's keyword rankings and content topics against competitors:
| Topic / Keyword | [Target] | [Comp 1] | [Comp 2] | [Comp 3] | Gap? |
|-----------------|----------|----------|----------|----------|------|
| cloud cost optimization | #4, 3 posts | #1, 12 posts | #2, 8 posts | #7, 5 posts | Partial |
| aws savings plans | No content | #3, 4 posts | No content | #1, 6 posts | YES |
| finops best practices | 1 post, not ranking | #5, 3 posts | #2, 7 posts | — | YES |For each topic/keyword:
How to build this:
Compare what types of content each company produces:
| Content Type | [Target] | [Comp 1] | [Comp 2] | [Comp 3] | Gap? |
|-------------|----------|----------|----------|----------|------|
| Blog posts | 89 | 156 | 112 | 45 | Volume gap |
| Comparison pages | 0 | 12 | 8 | 3 | YES |
| Case studies | 5 | 22 | 15 | 8 | Weak |
| Glossary / educational | 0 | 45 | 0 | 30 | YES |
| Integration pages | 12 | 34 | 28 | 15 | Partial |
| ROI calculator / tools | 0 | 1 | 2 | 0 | Opportunity |
| Webinars / video | 3 | 18 | 12 | 6 | Weak |How to build this:
If the audit will feed into content creation:
Combine all findings into the final report. Save to the current working directory or wherever the user prefers.
# SEO Content Audit: [Company Name]
**Date:** YYYY-MM-DD
**Domain:** [domain]
**Competitors analyzed:** [list]
**Data sources:** [Semrush (via Apify), Ahrefs (via Apify), Google SERP, sitemap crawl, RSS]
---
## Executive Summary
[3-5 sentences. Overall SEO health assessment. Biggest strength. Biggest gap.
Most important recommendation. How they compare to competitors overall.]
---
## 1. Content Inventory
### Overview
- **Total pages cataloged:** X
- **Blog posts:** X
- **Landing pages:** X
- **Case studies:** X
- **Comparison pages:** X
- **Other:** X
### Content by Topic Cluster
| Topic | Posts | % of Content | Most Recent |
|-------|-------|-------------|-------------|
| [Topic 1] | X | X% | YYYY-MM-DD |
| ... |
### Publishing Cadence
- **Average:** X posts/month
- **Trend:** [increasing/decreasing/stable]
- **Most recent publish:** YYYY-MM-DD
- **Unique authors:** X
### Content Depth Assessment
[From deep analysis of top 20 pages: average word count, funnel stage distribution,
how many have CTAs, internal linking patterns]
---
## 2. SEO Performance
### Domain Metrics
| Metric | [Target] | Industry Benchmark* |
|--------|----------|-------------------|
| Authority Score (Semrush) | X/100 | |
| Domain Rating (Ahrefs) | X/100 | |
| Monthly Organic Traffic | ~X | |
| Organic Keywords | X | |
| Backlinks | X | |
| Referring Domains | X | |
### Top Performing Pages
| # | URL | Est. Traffic | Top Keyword | Position |
|---|-----|-------------|-------------|----------|
| 1 | ... | ... | ... | ... |
### Keyword Rankings
| Keyword | Position | URL | Gap? |
|---------|----------|-----|------|
| [keyword 1] | #X | [url] | |
| [keyword 2] | Not ranking | — | YES |
### Backlink Profile
- Domain Rating: X/100
- Referring Domains: X
- Top linking sites: [list]
- Notable: [any insights about link profile quality]
---
## 3. Competitor Comparison
### Domain Metrics Comparison
| Metric | [Target] | [Comp 1] | [Comp 2] | [Comp 3] |
|--------|----------|----------|----------|----------|
| Authority Score | | | | |
| Organic Traffic | | | | |
| Keywords | | | | |
| Blog Posts | | | | |
| Content Types | | | | |
### Topic/Keyword Gap Matrix
| Topic / Keyword | [Target] | [Comp 1] | [Comp 2] | [Comp 3] | Gap? |
|-----------------|----------|----------|----------|----------|------|
| [topic 1] | X posts, #Y | ... | ... | ... | |
| ... |
### Content Type Gap Matrix
| Content Type | [Target] | [Comp 1] | [Comp 2] | [Comp 3] | Gap? |
|-------------|----------|----------|----------|----------|------|
| Blog posts | X | X | X | X | |
| Comparison pages | X | X | X | X | |
| Case studies | X | X | X | X | |
| ... |
---
## 4. Gaps & Opportunities
### Critical Gaps (High Impact, Act Now)
1. **[Gap]:** [Description. What competitors have that target doesn't.
Estimated search volume / traffic opportunity. Difficulty to address.]
2. ...
### Content Type Opportunities
1. **[Missing content type]:** [Why it matters. What competitors are doing.
Estimated effort to create.]
2. ...
### Quick Wins (Low Effort, Immediate Impact)
1. **[Quick win]:** [What to do. Expected impact.]
2. ...
### Keyword Opportunities
| Keyword | Est. Search Volume | Competitor Positions | Difficulty | Priority |
|---------|-------------------|---------------------|------------|----------|
| ... |
---
## 5. Brand Voice Profile
### Voice Summary
[2-3 sentence summary of their writing voice]
### Tone
| Dimension | Position |
|-----------|----------|
| Formality | [e.g., Professional-casual] |
| Authority | [e.g., Expert/teacher] |
| Humor | [e.g., None] |
| Directness | [e.g., Very direct] |
### Writing Guidelines
**Do:**
- [Guideline 1]
- [Guideline 2]
**Don't:**
- [Anti-pattern 1]
- [Anti-pattern 2]
[Link to full brand voice profile if generated]
---
## 6. Recommendations (Prioritized)
### Tier 1: High Impact, Do First
1. **[Recommendation]**
- What: [specific action]
- Why: [evidence from audit]
- Expected impact: [traffic/ranking improvement]
- Effort: [Low/Medium/High]
2. ...
### Tier 2: Medium Impact, Plan For
1. ...
### Tier 3: Long-term Strategic
1. ...
---
## Appendix
### A. Full Content Catalog
[Link to content-inventory.md]
### B. Complete SEO Profile
[Link to seo-profile.md]
### C. Brand Voice Guidelines
[Link to brand-voice.md]
### D. Raw Data
- Content inventory JSON
- SEO profile JSON
- Competitor content JSONsAPIFY_API_TOKEN env var (for Semrush/Ahrefs data via Apify; free web search probes work 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 1 other file in skills/seo/composites/seo-content-audit 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 Content Audit 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 Content Audit this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Crawl4AI SEO Site Crawlerartwist-polyakov/polyakov-claude-skills | 208 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Apify Link Prospecting Outreachapify/awesome-skills | 266 | — | ~11k | Automated safety check: Notes | Apache-2.0 | |
| Screaming Frog Toolgarrettjsmith/localseoskills | 121 | — | ~2k | Automated safety check: Pass | MIT | |
| Semrush Toolgarrettjsmith/localseoskills | 121 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Pp Ahrefsmvanhorn/printing-press-library | 2.1k | — | ~2.4k | Automated safety check: Notes | Apache-2.0 |
artwist-polyakov/polyakov-claude-skills
Crawls a site with Crawl4AI to audit titles, meta tags, H1s, canonicals, navigation and internal links, and to compare landing pages and competitor sites.
apify/awesome-skills
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garrettjsmith/localseoskills
When the user wants keyword research with search volume, competitive keyword analysis, site audit data, position tracking, or competitor organic analysis.
mvanhorn/printing-press-library
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apify/agent-skills
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gooseworks-ai/goose-skills
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Categories
Comprehensive SEO footprint analysis. An agent skill from gooseworks-ai/goose-skills. SEO Content Audit is an agent skill from gooseworks-ai/goose-skills. Comprehensive SEO footprint analysis.
SEO Content Audit fits situations like: tasks that involve Web scraping; tasks that involve On-page SEO; tasks that involve Web search.
Run `npx skills add gooseworks-ai/goose-skills --skill seo-content-audit -a claude-code`. Or copy the skill folder (skills/seo/composites/seo-content-audit in gooseworks-ai/goose-skills) into .claude/skills/seo-content-audit in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gooseworks-ai/goose-skills --skill seo-content-audit -a codex`. Or copy the skill folder (skills/seo/composites/seo-content-audit in gooseworks-ai/goose-skills) into .agents/skills/seo-content-audit 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-content-audit -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-content-audit, .gemini/skills/seo-content-audit, .github/skills/seo-content-audit and .opencode/skills/seo-content-audit in your project.
Going by SKILL.md and its folder, SEO Content Audit needs credentials named APIFY_API_TOKEN. Our summary lists: 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. Review the folder before installing.
SEO Content Audit is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.8k tokens (SKILL.md is roughly 11k 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 Content Audit: Crawl4AI SEO Site Crawler (artwist-polyakov/polyakov-claude-skills, 208 stars), Apify Link Prospecting Outreach (apify/awesome-skills, 266 stars), Screaming Frog Tool (garrettjsmith/localseoskills, 121 stars) and Semrush Tool (garrettjsmith/localseoskills, 121 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.