Marketing Os
Yuzzyuk/marketing-os
A complete marketing department in one skill. An agent skill from Yuzzyuk/marketing-os.
Analyze a website's SEO visibility, keyword rankings, traffic estimates, and competitive positioning.
Install SEO Traffic Analyzer
$ npx skills add gooseworks-ai/goose-skills --skill seo-traffic-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills seo-traffic-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-traffic-analyzer .claude/skills/seo-traffic-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-traffic-analyzer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/seo/capabilities/seo-traffic-analyzer into .claude/skills/seo-traffic-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-traffic-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-traffic-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-traffic-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills seo-traffic-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-traffic-analyzer .agents/skills/seo-traffic-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-traffic-analyzer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/seo/capabilities/seo-traffic-analyzer into .agents/skills/seo-traffic-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-traffic-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-traffic-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills seo-traffic-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-traffic-analyzer .cursor/skills/seo-traffic-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-traffic-analyzer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/seo/capabilities/seo-traffic-analyzer into .cursor/skills/seo-traffic-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-traffic-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-traffic-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-traffic-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills seo-traffic-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-traffic-analyzer .gemini/skills/seo-traffic-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-traffic-analyzer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/seo/capabilities/seo-traffic-analyzer into .gemini/skills/seo-traffic-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-traffic-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-traffic-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-traffic-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-traffic-analyzer .github/skills/seo-traffic-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-traffic-analyzer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/seo/capabilities/seo-traffic-analyzer into .github/skills/seo-traffic-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-traffic-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-traffic-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-traffic-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-traffic-analyzer .opencode/skills/seo-traffic-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-traffic-analyzer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/seo/capabilities/seo-traffic-analyzer into .opencode/skills/seo-traffic-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-traffic-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.
Facts
- Skill name
seo-traffic-analyzer- GitHub stars
- 1.2k
- Used in
- 1 other repo
- Token cost
- ~2.1k tokens
- SKILL.md length
- 784 words
- Files
- 2
- Skills in repo
- 273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analyze a website's SEO visibility, keyword rankings, traffic estimates, and competitive positioning.
- Works in 7 steps: Site Indexation & Structure → Keyword Ranking Probes → Traffic Estimation → …
- Tasks that involve Web search
- SKILL.md covers Quick Start, Inputs, Cost and Process, plus 3 more sections
- Reaches similarweb.com and web.archive.org
What it does
SEO Traffic Analyzer is an agent skill from gooseworks-ai/goose-skills. Analyze a website's SEO visibility, keyword rankings, traffic estimates, and competitive positioning. Uses web search probes, SimilarWeb (free tier via web), and site: queries to build an SEO profile without requiring paid tool subscriptions. Useful for competitive intel, gap analysis, and reverse-engineering a company's organic acquisition strategy.
Its SKILL.md is about 2.1k 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 search, Reverse engineering and malware and Positioning and messaging. 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.
When your agent uses it
- Tasks that involve Web search
- Tasks that involve Reverse engineering and malware
- Tasks that involve Positioning and messaging
Example prompts
- “/seo-traffic-analyzer”
Workflow steps
7 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 c650c6d. 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
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.
Network
Hosts in commands or code, which the agent is likely to contact:
similarweb.comweb.archive.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.
Context cost
SEO Traffic Analyzer loads about 2.1k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 784 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 gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 784 words, ~2,144 tokens.
Download SKILL.mdSave it as
.claude/skills/seo-traffic-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- seo-traffic-analyzer
- description
- Analyze a website's SEO visibility, keyword rankings, traffic estimates, and competitive positioning. Uses web search probes, SimilarWeb (free tier via web), and site: queries to build an SEO profile without requiring paid tool subscriptions. Useful for competitive intel, gap analysis, and reverse-engineering a company's organic acquisition strategy.
- tags
- competitive-intel, seo
SEO & Traffic Analyzer
Analyze a website's organic search visibility, estimate traffic, and map competitive positioning — all without paid SEO tool subscriptions. Uses web search probes, public data sources, and site: queries to build a comprehensive SEO profile.
Quick Start
Analyze SEO and traffic for [domain]. Check rankings for [keywords]. Compare against [competitors].Example:
Analyze SEO and traffic for pump.co.
Check rankings for: AWS cost optimization, cloud cost reduction, reduce AWS bill, FinOps tools, AWS savings plans automation.
Compare against: vantage.sh, antimetal.com, prosperops.com, zesty.co, nops.io.Inputs
| Parameter | Required | Default | Description |
|---|---|---|---|
| target-domain | Yes | — | Domain to analyze (e.g., "pump.co") |
| competitor-domains | No | none | Comma-separated competitor domains to compare |
| target-keywords | No | auto-inferred | Keywords to check rankings for |
| output-path | No | stdout | Where to save the analysis |
Cost
Free — uses only WebSearch and WebFetch (no paid SEO tool APIs).
Process
Phase 1: Site Indexation & Structure
Assess the site's SEO footprint using site: queries.
Searches to run:
site:[domain]— Estimate total indexed pagessite:[domain] blog— Find blog contentsite:[domain] intitle:— See page title patternssite:[domain]/pricingorsite:[domain]/features— Key conversion pagessite:[domain] filetype:pdf— Whitepapers, guides (content marketing signal)
What to extract:
- Approximate number of indexed pages
- Content categories (blog, docs, landing pages, comparison pages)
- URL structure patterns
- Presence of key conversion pages (pricing, demo, signup)
Phase 2: Keyword Ranking Probes
Check where the target ranks for important keywords. For each keyword:
Technique: Run a WebSearch for the keyword and scan results for the target domain.
Standard keyword categories to check:
A) Brand keywords
[company name][company name] review[company name] alternative[company name] vs [competitor][company name] pricing
B) Product/category keywords
[primary category](e.g., "cloud cost optimization")[primary category] tools[primary category] platform[primary category] softwarebest [primary category]
C) Problem/pain keywords
[core problem](e.g., "reduce AWS bill")how to [solve problem][problem] for startups[problem] free tool
D) Competitor comparison keywords
[competitor] alternative[competitor] vs [target][competitor] pricing
For each search, note:
- Does the target appear on page 1? (positions 1-10)
- What position approximately?
- What page/URL ranks?
- Who else ranks for this term? (competitive landscape)
Phase 3: Traffic Estimation
Gather traffic signals from multiple sources:
A) SimilarWeb (free tier)
- WebFetch
https://www.similarweb.com/website/[domain]/ - Extract: estimated monthly visits, top traffic sources, geographic distribution, bounce rate
B) Search volume inference
- For keywords where the target ranks well, estimate search volume:
- WebSearch:
"[keyword]" search volumeor check Google Trends - High-ranking keywords with high volume = significant organic traffic
- WebSearch:
C) Social/referral signals
- WebSearch:
"[domain]" -site:[domain]— Count and categorize referring sites - Look for directory listings, review sites, blog mentions, social shares
D) Wayback Machine snapshot frequency
- WebFetch
https://web.archive.org/web/*/[domain]— More frequent snapshots often correlate with higher traffic/importance
Phase 4: Backlink & Authority Signals
Estimate domain authority through proxy signals:
- Who links to them? WebSearch:
"[domain]" -site:[domain]and categorize sources - Press mentions: WebSearch:
"[company name]" (TechCrunch OR VentureBeat OR Forbes OR "Business Insider") - Industry recognition: WebSearch:
"[company name]" (award OR "named" OR "recognized" OR "leader") - Directory presence: Check for listings on G2, Capterra, Product Hunt, AlternativeTo, AWS Marketplace
Phase 5: Competitive Comparison
For each competitor domain, repeat a subset of the above analysis:
site:[competitor]— Indexed pages count- Check the same target keywords — who ranks where?
- Compare content strategies (blog frequency, topics)
Build a comparison matrix:
| Keyword | [Target] Position | [Competitor 1] | [Competitor 2] | ... |
|---|
Show full SKILL.md (296 more words)Show less
Phase 6: Content Gap Analysis
Identify keywords and topics where competitors rank but the target doesn't:
- For each competitor, run:
site:[competitor] [keyword]for keywords where target is absent - WebSearch for
[category] + [topic]and note which competitors appear but target doesn't - Identify high-value content types competitors have that target lacks:
- Comparison pages ("X vs Y")
- Use case pages
- ROI calculators / interactive tools
- Integration pages
- Customer stories / case studies
- Glossary / educational content
Phase 7: Output
Generate a comprehensive SEO report:
# SEO & Traffic Analysis: [domain]
**Date:** YYYY-MM-DD
**Competitors analyzed:** [list]
## Executive Summary
[2-3 sentence overview of SEO posture]
## Site Indexation
- Estimated indexed pages: X
- Content categories: [list]
- Key pages: [list]
## Keyword Rankings
### Brand Keywords
| Keyword | Position | URL | Notes |
|---------|----------|-----|-------|
### Category Keywords
| Keyword | Position | URL | Top Competitors |
|---------|----------|-----|-----------------|
### Problem Keywords
| Keyword | Position | URL | Top Competitors |
|---------|----------|-----|-----------------|
## Traffic Estimates
- Estimated monthly visits: X
- Top traffic sources: [organic, direct, referral, social, paid]
- Geographic breakdown: [if available]
## Competitive Comparison
| Metric | [Target] | [Comp 1] | [Comp 2] | ... |
|--------|----------|----------|----------|-----|
| Indexed pages | | | | |
| Blog posts (est.) | | | | |
| Ranks for X keywords | | | | |
## Content Gaps & Opportunities
1. [Gap 1]: Competitors rank for X but target doesn't
2. [Gap 2]: No comparison pages exist
3. [Gap 3]: Missing content type
## SEO Strategy Assessment
### Strengths
### Weaknesses
### Opportunities
### Threats
## Recommendations
1. [Priority action 1]
2. [Priority action 2]
...Tips
- Run quarterly per client to track SEO progress
- Brand keyword monitoring is especially important — if competitors bid on your brand, you'll see it
- Content gap analysis directly feeds into content strategy recommendations
- Comparison pages are often the highest-ROI SEO content for B2B SaaS
- This skill works without paid tools but results from tools like Ahrefs/SEMrush will be more precise. If you have access to those, supplement this analysis with their data.
- Combine with
industry-scannerto correlate SEO gaps with industry trends - SimilarWeb free tier is rate-limited — if blocked, fall back to other estimation methods
Limitations
- Traffic estimates are rough approximations without paid tools
- Exact keyword positions can't be determined — only presence/absence on page 1
- Backlink analysis is limited to what's discoverable via web search
- Results may vary by geography and personalization
AI Agent Integration
When using this skill as an agent:
- User provides target domain, optional competitors, optional keywords
- Agent auto-infers relevant keywords from the domain's content if not provided
- Agent runs all phases, collecting data into a structured report
- Agent highlights the most actionable findings
- User decides which gaps to address
- Agent can chain to content creation or
sponsored-newsletter-finderfor distribution
Example prompt:
"Analyze pump.co's SEO. Compare against vantage.sh, antimetal.com, prosperops.com. Check if they rank for cloud cost optimization keywords."
© 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
Files
SKILL.md and 1 other file in skills/seo/capabilities/seo-traffic-analyzer of gooseworks-ai/goose-skills.
- SKILL.md
- skill.meta.json
Open the folder on GitHubat commit c650c6d
Used in 1 other repository
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 9, 2026.
Compare with similar skills
SEO Traffic 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 Traffic Analyzer this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Marketing OsYuzzyuk/marketing-os | 540 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Startup Validatorailabs-393/ai-labs-claude-skills | 455 | 1 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Competitor Analysissocial-media-skills/skills | 134 | — | ~1.3k | Automated safety check: Pass | MIT | |
| PkedgeLeoYeAI/openclaw-master-skills | 2.2k | — | ~4k | Automated safety check: Notes | MIT | |
| Ads Competitorszubair-trabzada/ai-ads-claude | 268 | — | ~4.9k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about SEO Traffic Analyzer
What does SEO Traffic Analyzer do?
Analyze a website's SEO visibility, keyword rankings, traffic estimates, and competitive positioning. SEO Traffic Analyzer is an agent skill from gooseworks-ai/goose-skills. Analyze a website's SEO visibility, keyword rankings, traffic estimates, and competitive positioning.
When should I use SEO Traffic Analyzer?
SEO Traffic Analyzer fits situations like: tasks that involve Web search; tasks that involve Reverse engineering and malware; tasks that involve Positioning and messaging.
How do I install SEO Traffic Analyzer in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill seo-traffic-analyzer -a claude-code`. Or copy the skill folder (skills/seo/capabilities/seo-traffic-analyzer in gooseworks-ai/goose-skills) into .claude/skills/seo-traffic-analyzer in your project. Claude Code loads it when a task matches its description.
How do I install SEO Traffic Analyzer in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill seo-traffic-analyzer -a codex`. Or copy the skill folder (skills/seo/capabilities/seo-traffic-analyzer in gooseworks-ai/goose-skills) into .agents/skills/seo-traffic-analyzer in your project. Codex loads it when a task matches its description.
Can I use SEO Traffic Analyzer 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 gooseworks-ai/goose-skills --skill seo-traffic-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-traffic-analyzer, .gemini/skills/seo-traffic-analyzer, .github/skills/seo-traffic-analyzer and .opencode/skills/seo-traffic-analyzer in your project.
What does SEO Traffic Analyzer need to run?
SKILL.md names no scripts, command-line tools or credentials: SEO Traffic Analyzer is instructions for the agent only.
Does SEO Traffic Analyzer access the network?
SKILL.md names 2 domains. In commands or code: similarweb.com and web.archive.org; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Is SEO Traffic Analyzer 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 Traffic Analyzer use?
SEO Traffic Analyzer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does SEO Traffic Analyzer use?
About 2.1k tokens (SKILL.md is roughly 8.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to SEO Traffic Analyzer?
Skills that share tags, products or a category with SEO Traffic Analyzer: Marketing Os (Yuzzyuk/marketing-os, 540 stars), Startup Validator (ailabs-393/ai-labs-claude-skills, 455 stars), Competitor Analysis (social-media-skills/skills, 134 stars) and Pkedge (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains SEO Traffic Analyzer?
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.