Agent skill

SEO

by yaojingang in yaojingang/GEOHub

Turn one natural-language request into an evidence-bounded SEO work plan across technical SEO, crawling and indexing, Search Console incidents, keyword-to-page mapping, migrations, experiments…

AGPL-3.0Auto-check passedMarketing & SEO

Install SEO

skills CLI
$ npx skills add yaojingang/GEOHub --skill seo -a claude-code

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

GitHub CLI
$ gh skill install yaojingang/GEOHub seo --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/yaojingang/GEOHub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/seo .claude/skills/seo && 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
GitHub stars
165
Token cost
~421 tokens
SKILL.md length
152 words
Files
12 (incl. scripts, references)
Skills in repo
9
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Turn one natural-language request into an evidence-bounded SEO work plan across technical SEO, crawling and indexing, Search Console incidents, keyword-to-page mapping, migrations, experiments…

  • Works in 5 steps: Read references/seo-method.md and… → Run python3 scripts/run_seo.py --input… → Use the selected work mode and action… → …
  • 一句话SEO、技术SEO、自然搜索、收录诊断、关键词页面映射 and website SEO
  • SKILL.md covers Workflow, Output contract and Boundaries
  • Runs Python scripts from its folder; calls python3 and python

What it does

SEO is an agent skill from yaojingang/GEOHub. Turn one natural-language request into an evidence-bounded SEO work plan across technical SEO, crawling and indexing, Search Console incidents, keyword-to-page mapping, migrations, experiments, international or ecommerce SEO, and AI-search foundations. Use for 一句话SEO、技术SEO、自然搜索、收录诊断、关键词页面映射 and website SEO. Exclude paid search, ASO, ranking guarantees, link spam, live mutation without authorization, and unsupported metrics.

Its SKILL.md is about 420 tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files, including scripts and reference files (for example `agents/interface.yaml`, `evals/semantic_config.json` and `evals/trigger_cases.json`).

It sits in Marketing & SEO, covering AI search optimization, Technical SEO and E-commerce operations. It works with Google Search Console and Python. The repository describes itself as: GEOHub: open, evidence-bounded GEO and SEO agent skills for AI Search, with research-grounded discovery, diagnosis, content, measurement, and one-line SEO planning. The licence is AGPL-3.0.

When your agent uses it

  • 一句话SEO、技术SEO、自然搜索、收录诊断、关键词页面映射 and website SEO
  • Tasks that involve AI search optimization
  • Tasks that involve Technical SEO

Example prompts

  • “/seo”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Read references/seo-method.md and normalize the request into references/input-example.json shape.
  2. Run python3 scripts/run_seo.py --input --output or python -m geo_seo_hub seo --input --output .
  3. Use the selected work mode and action plan to collect the named evidence. Preserve the coverage ledger and rerun inputs.
  4. State observations, inference, hypotheses, and missing evidence separately. The deterministic planner keeps findings empty; later analysis…
  5. Keep audit and planning read-only. Implement only when the user explicitly authorizes the target, change, verification, and rollback…

What it can do on your machine

Read from SKILL.md and the folder at commit 2210f7f. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    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 loads about 421 tokens when it runs, and up to ~974 if it reads all its reference files. Until then it costs about 108 tokens; SKILL.md has 152 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~108
When it runs · the whole SKILL.md, loaded when a task matches
~421
With references · SKILL.md plus every file in references/, read only if the agent opens them
~974

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); the scripts in this folder are not scanned.

SKILL.md

The full file from yaojingang/GEOHub at commit 2210f7f, republished under its AGPL-3.0 licence (© yaojingang). 152 words, ~421 tokens.

Download SKILL.mdSave it as .claude/skills/seo/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.
name
seo
description
Turn one natural-language request into an evidence-bounded SEO work plan across technical SEO, crawling and indexing, Search Console incidents, keyword-to-page mapping, migrations, experiments, international or ecommerce SEO, and AI-search foundations. Use for 一句话SEO、技术SEO、自然搜索、收录诊断、关键词页面映射 and website SEO. Exclude paid search, ASO, ranking guarantees, link spam, live mutation without authorization, and unsupported metrics.

GEOHub — One-line SEO

Workflow

  1. Read references/seo-method.md and normalize the request into references/input-example.json shape.
  2. Run python3 scripts/run_seo.py --input <brief.json> --output <runs-root> or python -m geo_seo_hub seo --input <brief.json> --output <runs-root>.
  3. Use the selected work mode and action plan to collect the named evidence. Preserve the coverage ledger and rerun inputs.
  4. State observations, inference, hypotheses, and missing evidence separately. The deterministic planner keeps findings empty; later analysis needs a separately validated evidence-backed contract.
  5. Keep audit and planning read-only. Implement only when the user explicitly authorizes the target, change, verification, and rollback boundary.

Output contract

Return the normalized brief, seo-plan.json, a Markdown report, evidence ledger, quality report, and run manifest under one Artifact Bus run.

Boundaries

Never invent search volume, difficulty, rankings, traffic, backlinks, crawl, index, competitor, conversion, or citation metrics. Keep provider and surface rules separate. Crawling, indexing, ranking, rich results, traffic, revenue, and AI citations remain unguaranteed outcomes.

© yaojingang, AGPL-3.0. 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 11 other files (scripts, references) in skills/seo of yaojingang/GEOHub.

  • SKILL.md
  • agents/interface.yaml
  • evals/output/cases.jsonl
  • evals/semantic_config.json
  • evals/trigger_cases.json
  • manifest.json
  • references/input-example.json
  • references/seo-method.md
  • reports/output_quality_scorecard.md
  • reports/skill-ir.json
  • reports/trust-report.md
  • scripts/run_seo.py

Open the folder on GitHubat commit 2210f7f

Compare with similar skills

SEO 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 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
SEO this skillyaojingang/GEOHub165—~421Automated safety check: PassAGPL-3.0
Qiaomu SEOjoeseesun/qiaomu-seo441—~2.6kAutomated safety check: PassMIT
Universal SEO AnalysisAgriciDaniel/claude-seo19k—~4.9kAutomated safety check: PassMIT
GEO Schema Auditorzubair-trabzada/geo-seo-claude11k2 repos~3.7kAutomated safety check: NotesMIT
SEOAgriciDaniel/codex-seo797—~3.7kAutomated safety check: PassMIT
Site Launch Checklistsamber/cc-skills228—~13kAutomated safety check: NotesMIT

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  • Qiaomu SEO

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    441 GitHub stars~2.6k tokensUpdated 2 mo ago
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    AgriciDaniel/claude-seo

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More from yaojingang/GEOHub

All 9 skills in this repo
  • Geo Site Diagnose

    yaojingang/GEOHub

    Crawl one public website from a supplied URL, select up to ten representative page types, score evidence-lined GEO readiness, and generate a standalone visual HTML report.

    165 GitHub stars~515 tokensUpdated 1 mo ago
    Auto-check passed
  • Geo

    yaojingang/GEOHub

    Route GEO and generative engine optimization requests to an available GEOHub capability.

    165 GitHub stars~364 tokensUpdated 1 mo ago
    Auto-check passed
  • Geo Content

    yaojingang/GEOHub

    Create evidence-lined GEO titles, explainers, neutral comparisons, method-backed rankings, page blueprints, refinements, and article-friendly Markdown.

    165 GitHub stars~390 tokensUpdated 1 mo ago
    Auto-check passed
  • Geo Diagnose

    yaojingang/GEOHub

    Diagnose a brand, website, or page for evidence-backed GEO gaps and opportunities from user-supplied URLs, HTML, or evidence.

    165 GitHub stars~434 tokensUpdated 1 mo ago
    Auto-check passed
  • Geo Discover

    yaojingang/GEOHub

    Discover evidence-aware GEO questions, query rewrites, intent clusters, and prioritized content opportunities from a structured brief.

    165 GitHub stars~419 tokensUpdated 1 mo ago
    Auto-check passed
  • Geo Knowledge

    yaojingang/GEOHub

    Build and query an evidence-lined GEO knowledge graph from approved source bundles.

    165 GitHub stars~349 tokensUpdated 1 mo ago
    Auto-check passed

Categories

Questions about SEO

What does SEO do?

Turn one natural-language request into an evidence-bounded SEO work plan across technical SEO, crawling and indexing, Search Console incidents, keyword-to-page mapping, migrations, experiments…. SEO is an agent skill from yaojingang/GEOHub. Turn one natural-language request into an evidence-bounded SEO work plan across technical SEO, crawling and indexing, Search Console incidents, keyword-to-page mapping, migrations, experiments, international or ecommerce SEO, and AI-search foundations.

When should I use SEO?

SEO fits situations like: 一句话SEO、技术SEO、自然搜索、收录诊断、关键词页面映射 and website SEO; tasks that involve AI search optimization; tasks that involve Technical SEO.

How do I install SEO in Claude Code?

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

How do I install SEO in Codex?

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

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

What does SEO need to run?

Going by SKILL.md and its folder, SEO needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and python). Our summary lists: Python 3.

Does SEO access the network?

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.

Is SEO 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does SEO use?

SEO is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does SEO use?

About 421 tokens (SKILL.md is roughly 1.7k 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 553 tokens, read only when the agent opens those files.

What are the alternatives to SEO?

Skills that share tags, products or a category with SEO: Qiaomu SEO (joeseesun/qiaomu-seo, 441 stars), Universal SEO Analysis (AgriciDaniel/claude-seo, 19k stars), GEO Schema Auditor (zubair-trabzada/geo-seo-claude, 11k stars) and SEO (AgriciDaniel/codex-seo, 797 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains SEO?

yaojingang (a GitHub user) maintains it in yaojingang/GEOHub, which has 165 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on August 31, 2026.

Source: yaojingang/GEOHub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.