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Agent skill

SEO Analyzer

by gooseworks-ai in gooseworks-ai/goose-skills

Analyze website SEO - keywords, content, competitors, and improvement opportunities

MITAuto-check passedMarketing & SEO

Install SEO Analyzer

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill seo-analyzer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills seo-analyzer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-analyzer .claude/skills/seo-analyzer && rm -rf skills-src

Use ~/.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/

Facts

Skill name
seo-analyzer
GitHub stars
1.2k
Used in
1 other repo
Token cost
~833 tokens
SKILL.md length
115 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Analyze website SEO - keywords, content, competitors, and improvement opportunities

  • Works in 3 steps: Crawl Site Structure → Extract Page Content → Get Backlink Ideas
  • Marketing & SEO work in your project
  • SKILL.md covers Setup, Workflow, Example Usage and Tips, plus 1 more section
  • Calls curl, python3 and npx; reaches api.gooseworks.ai; needs GOOSEWORKS_API_KEY

What it does

SEO Analyzer is an agent skill from gooseworks-ai/goose-skills. Analyze website SEO - keywords, content, competitors, and improvement opportunities

Its SKILL.md is about 830 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. 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

  • Marketing & SEO work in your project

Example prompts

  • “/seo-analyzer”

Requirements

  • Python 3
  • Node.js
  • A credential in GOOSEWORKS_API_KEY

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Crawl Site Structure
  2. Extract Page Content
  3. Get Backlink Ideas

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

    Shell commands in SKILL.md call:

    • curl
    • python3
    • npx

    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:

    • api.gooseworks.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GOOSEWORKS_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

SEO Analyzer loads about 833 tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 115 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~833

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). 115 words, ~833 tokens.

Download SKILL.mdSave it as .claude/skills/seo-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
seo-analyzer
description
Analyze website SEO - keywords, content, competitors, and improvement opportunities
source
orthogonal

SEO Analyzer - Website SEO Analysis

Setup

Read your credentials from ~/.gooseworks/credentials.json:

bash
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")

If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login

All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"

Analyze websites for SEO performance, keywords, content quality, and competitor positioning.

Workflow

Step 1: Crawl Site Structure

Map the website structure:

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tavily","path":"/map","body":{"url":"https://example.com"}}'
Step 2: Extract Page Content

Get content for analysis:

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"scrapegraph","path":"/v1/smartscraper"}'
  "website_url": "https://example.com",
  "user_prompt": "Extract page title, meta description, headings (H1, H2, H3), main content, and internal links"
}'

Find linking opportunities:

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"exa","path":"/search"}'
  "query": "blogs and websites that accept guest posts about productivity software",
  "num_results": 20
}'

Example Usage

bash
# Quick site analysis
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"scrapegraph","path":"/v1/smartscraper"}'
  "website_url": "https://mysite.com",
  "user_prompt": "Analyze this page for SEO: title tag, meta description, heading structure, keyword usage, content length"
}'

Tips

  • Focus on long-tail keywords for faster wins
  • Analyze top 3 competitors for each target keyword
  • Prioritize pages with existing traffic for optimization
  • Track rankings over time to measure progress

Discover More

List all endpoints, or add a path for parameter details:

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"exa API endpoints"}' api show scrapegraph
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"tavily API endpoints"}'

Example: `curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"olostep","path":"/v1/scrapes`"}' for endpoint parameters.

© 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-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 7, 2026.

Compare with similar skills

SEO 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.

SEO Analyzer compared with similar skills
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SEO Analyzer this skillgooseworks-ai/goose-skills1.2k1 repos~833Automated safety check: PassMIT
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Ab Testingcoreyhaines31/marketingskills54k3 repos~3.1kAutomated safety check: PassMIT
Hreflang and International SEOAgriciDaniel/claude-seo19k5 repos~3.4kAutomated safety check: PassMIT
Referralscoreyhaines31/marketingskills54k2 repos~2.6kAutomated safety check: PassMIT
SEO GeoReScienceLab/opc-skills1.8k4 repos~2.1kAutomated safety check: PassApache-2.0

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Categories

Questions about SEO Analyzer

What does SEO Analyzer do?

Analyze website SEO - keywords, content, competitors, and improvement opportunities. SEO Analyzer is an agent skill from gooseworks-ai/goose-skills.

When should I use SEO Analyzer?

SEO Analyzer fits situations like: marketing & SEO work in your project.

How do I install SEO Analyzer in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill seo-analyzer -a claude-code`. Or copy the skill folder (skills/seo/capabilities/seo-analyzer in gooseworks-ai/goose-skills) into .claude/skills/seo-analyzer in your project. Claude Code loads it when a task matches its description.

How do I install SEO Analyzer in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill seo-analyzer -a codex`. Or copy the skill folder (skills/seo/capabilities/seo-analyzer in gooseworks-ai/goose-skills) into .agents/skills/seo-analyzer in your project. Codex loads it when a task matches its description.

Can I use SEO 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-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-analyzer, .gemini/skills/seo-analyzer, .github/skills/seo-analyzer and .opencode/skills/seo-analyzer in your project.

What does SEO Analyzer need to run?

Going by SKILL.md and its folder, SEO Analyzer needs the command-line tools its instructions call (curl, python3 and npx) and credentials named GOOSEWORKS_API_KEY. Our summary lists: Python 3; Node.js; A credential in GOOSEWORKS_API_KEY.

Does SEO Analyzer access the network?

SKILL.md names 1 domain. In commands or code: api.gooseworks.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is SEO 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 Analyzer use?

SEO 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 Analyzer use?

About 833 tokens (SKILL.md is roughly 3.3k 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 Analyzer?

Skills that share tags, products or a category with SEO Analyzer: Geo Fundamentals (wasp-lang/wasp, 19k stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 19k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains SEO 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.