Agent skill

Geo Content

by yaojingang in yaojingang/GEOHub

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

AGPL-3.0Auto-check passedMarketing & SEO

Install Geo Content

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

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

GitHub CLI
$ gh skill install yaojingang/GEOHub geo-content --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/geo-content .claude/skills/geo-content && 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
geo-content
GitHub stars
165
Token cost
~390 tokens
SKILL.md length
119 words
Files
18 (incl. scripts, references)
Skills in repo
9
Repo updated
First seen
Licence
AGPL-3.0

At a glance

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

  • Works in 5 steps: Read references/content-method.md, then… → Prepare a strict content brief using… → Run python3 scripts/run_content.py… → …
  • Title generation
  • SKILL.md covers Workflow and Boundaries
  • Calls python3

What it does

Geo Content is an agent skill from yaojingang/GEOHub. Create evidence-lined GEO titles, explainers, neutral comparisons, method-backed rankings, page blueprints, refinements, and article-friendly Markdown. Use for title generation, 科普/解释、对比、榜单、页面蓝图、内容优化, and article-friendly rewriting. Excludes unsupported factual claims, winner declarations without like-for-like evidence, network research, publishing, and live ranking measurement.

Its SKILL.md is about 390 tokens, which your agent loads only when the skill is triggered. The skill folder holds 22 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. It works with 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

  • Title generation
  • 科普/解释、对比、榜单、页面蓝图、内容优化
  • Article-friendly rewriting

Example prompts

  • “/geo-content”

Requirements

  • Python 3

Workflow steps

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

  1. Read references/content-method.md, then select one mode from references/modes.md. Read references/content-pipeline-v2.md for non-legacy…
  2. Prepare a strict content brief using references/input-example.json and references/evidence-policy.md.
  3. Run python3 scripts/run_content.py --input --output --execution-mode . Legacy remains the compatibility default.
  4. Inspect quality-report.json, run-lineage.json, evidence-ledger.json, claim map when present, content status, and supplement requests.
  5. Deliver the complete run described by references/output-contract.md.

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/, which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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

Geo Content loads about 390 tokens when it runs, and up to ~2.3k if it reads all its reference files. Until then it costs about 98 tokens; SKILL.md has 119 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~98
When it runs · the whole SKILL.md, loaded when a task matches
~390
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.3k

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). 119 words, ~390 tokens.

Download SKILL.mdSave it as .claude/skills/geo-content/SKILL.md (or your agent's skills folder). This skill also uses 17 other files; get the full folder from GitHub.
name
geo-content
description
Create evidence-lined GEO titles, explainers, neutral comparisons, method-backed rankings, page blueprints, refinements, and article-friendly Markdown. Use for title generation, 科普/解释、对比、榜单、页面蓝图、内容优化, and article-friendly rewriting. Excludes unsupported factual claims, winner declarations without like-for-like evidence, network research, publishing, and live ranking measurement.

GEO Content

Workflow

  1. Read references/content-method.md, then select one mode from references/modes.md. Read references/content-pipeline-v2.md for non-legacy execution and references/mcda-policy.md for ranking.
  2. Prepare a strict content brief using references/input-example.json and references/evidence-policy.md.
  3. Run python3 scripts/run_content.py --input <brief.json> --output <runs-root> --execution-mode <legacy|deterministic|research|provider>. Legacy remains the compatibility default.
  4. Inspect quality-report.json, run-lineage.json, evidence-ledger.json, claim map when present, content status, and supplement requests.
  5. Deliver the complete run described by references/output-contract.md.

Boundaries

Run offline. Treat only supplied evidence as factual. Keep unsupported material as guidance, unverified, source_gap, or blocked-by-evidence. Provider mode has no packaged drafting adapter and records a degraded deterministic fallback. Render HTML locally with escaped text and no external assets. Optional DOCX/PDF failures degrade explicitly while core artifacts remain usable.

© 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 17 other files (scripts, references) in skills/geo-content of yaojingang/GEOHub.

  • SKILL.md
  • agents/interface.yaml
  • evals/output/cases.jsonl
  • evals/semantic_config.json
  • evals/trigger_cases.json
  • manifest.json
  • references/content-method.md
  • references/content-pipeline-v2.md
  • references/evidence-policy.md
  • references/input-example.json
  • references/mcda-policy.md
  • references/modes.md
  • references/output-contract.md
  • reports/output_quality_scorecard.md
  • reports/skill-ir.json
  • reports/trust-report.md
  • … and 2 more

Open the folder on GitHubat commit 2210f7f

Compare with similar skills

Geo Content 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.

Geo Content compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Geo Content this skillyaojingang/GEOHub165—~390Automated safety check: PassAGPL-3.0
Beyondseobeyondtahir/beyondseo161—~4.3kAutomated 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
Geo Gap FixerVarnan-Tech/opendirectory674—~1kAutomated safety check: NotesMIT
Marketing Skillsalirezarezvani/claude-skills28k—~1.3kAutomated safety check: PassMIT

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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 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
  • Geo Measure

    yaojingang/GEOHub

    Measure GEO visibility from an approved, file-backed engine observation bundle.

    165 GitHub stars~348 tokensUpdated 1 mo ago
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Works with

Questions about Geo Content

What does Geo Content do?

Create evidence-lined GEO titles, explainers, neutral comparisons, method-backed rankings, page blueprints, refinements, and article-friendly Markdown. Geo Content is an agent skill from yaojingang/GEOHub. Create evidence-lined GEO titles, explainers, neutral comparisons, method-backed rankings, page blueprints, refinements, and article-friendly Markdown.

When should I use Geo Content?

Geo Content fits situations like: title generation; 科普/解释、对比、榜单、页面蓝图、内容优化; article-friendly rewriting.

How do I install Geo Content in Claude Code?

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

How do I install Geo Content in Codex?

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

Can I use Geo Content 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 geo-content -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/geo-content, .gemini/skills/geo-content, .github/skills/geo-content and .opencode/skills/geo-content in your project.

What does Geo Content need to run?

Going by SKILL.md and its folder, Geo Content needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Geo Content 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 Geo Content 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 Geo Content use?

Geo Content 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 Geo Content use?

About 390 tokens (SKILL.md is roughly 1.6k 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 1.9k tokens, read only when the agent opens those files.

What are the alternatives to Geo Content?

Skills that share tags, products or a category with Geo Content: Beyondseo (beyondtahir/beyondseo, 161 stars), Universal SEO Analysis (AgriciDaniel/claude-seo, 19k stars), GEO Schema Auditor (zubair-trabzada/geo-seo-claude, 11k stars) and Geo Gap Fixer (Varnan-Tech/opendirectory, 674 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Geo Content?

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.