Agent skill

Geo Difficulty

by OpenClaudia in OpenClaudia/openclaudia-skills

Install Geo Difficulty

skills CLI

$ npx skills add OpenClaudia/openclaudia-skills --skill geo-difficulty -a claude-code

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

GitHub CLI

$ gh skill install OpenClaudia/openclaudia-skills geo-difficulty --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/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/geo-difficulty .claude/skills/geo-difficulty && 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/

Paste into Claude Code

Install the "geo-difficulty" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/geo-difficulty into .claude/skills/geo-difficulty/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-difficulty", 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

$skill-installer install https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/geo-difficulty

Type 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.

skills CLI

$ npx skills add OpenClaudia/openclaudia-skills --skill geo-difficulty -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install OpenClaudia/openclaudia-skills geo-difficulty --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/geo-difficulty .agents/skills/geo-difficulty && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "geo-difficulty" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/geo-difficulty into .agents/skills/geo-difficulty/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-difficulty", 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.

skills CLI

$ npx skills add OpenClaudia/openclaudia-skills --skill geo-difficulty -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install OpenClaudia/openclaudia-skills geo-difficulty --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/geo-difficulty .cursor/skills/geo-difficulty && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "geo-difficulty" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/geo-difficulty into .cursor/skills/geo-difficulty/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-difficulty", 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

$ gemini skills install https://github.com/OpenClaudia/openclaudia-skills.git --path skills/geo-difficulty

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add OpenClaudia/openclaudia-skills --skill geo-difficulty -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install OpenClaudia/openclaudia-skills geo-difficulty --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/geo-difficulty .gemini/skills/geo-difficulty && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "geo-difficulty" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/geo-difficulty into .gemini/skills/geo-difficulty/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-difficulty", 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.

GitHub CLI

$ gh skill install OpenClaudia/openclaudia-skills geo-difficulty

Installs 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).

skills CLI

$ npx skills add OpenClaudia/openclaudia-skills --skill geo-difficulty -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/geo-difficulty .github/skills/geo-difficulty && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "geo-difficulty" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/geo-difficulty into .github/skills/geo-difficulty/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-difficulty", 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.

skills CLI

$ npx skills add OpenClaudia/openclaudia-skills --skill geo-difficulty -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install OpenClaudia/openclaudia-skills geo-difficulty --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/geo-difficulty .opencode/skills/geo-difficulty && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "geo-difficulty" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/geo-difficulty into .opencode/skills/geo-difficulty/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-difficulty", 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: geo-difficulty
GitHub stars: 711
Token cost: ~694 tokens
SKILL.md length: 291 words
Files: 2 (incl. scripts)
Skills in repo: 74
Repo updated: Sep 18, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

The user asks how hard is <keyword to rank
SKILL.md covers Usage, Output columns and Notes
Runs Shell scripts from its folder; calls bash and curl; reaches enception.ai
Geo difficulty for <keyword

What it does

Geo Difficulty is an agent skill from OpenClaudia/openclaudia-skills. Score how hard a keyword is to rank for in the AI-search era — page-level URL Rating of real competitors (not just domain DR), Ahrefs keyword difficulty, and whether a given site already ranks or is cited in Google's AI Overview. Use when the user asks 'how hard is <keyword to rank', 'geo difficulty for <keyword', or 'keyword difficulty for <domain'.

Its SKILL.md is about 690 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/score.sh`).

It sits in Marketing & SEO, covering AI search optimization and Keyword research. It works with Ahrefs. The repository describes itself as: 77 open-source marketing skills for Claude Code, Codex, and other AI coding agents. SEO, content, email, ads, analytics, and growth. The licence is MIT.

When your agent uses it

The user asks how hard is <keyword to rank
Geo difficulty for <keyword
Keyword difficulty for <domain

Example prompts

“s AI Overview. Use when the user asks”
“geo difficulty for <keyword”
“keyword difficulty for <domain”
“/geo-difficulty”

Requirements

A Bash shell

What it can do on your machine

Read from SKILL.md and the folder at commit 28bf209. 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/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
- bash
- curl
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:
- enception.ai
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 Difficulty loads about 694 tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 291 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~93
When it runs · the whole SKILL.md, loaded when a task matches: ~694

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 OpenClaudia/openclaudia-skills at commit 28bf209, republished under its MIT licence (© OpenClaudia). 291 words, ~694 tokens.

Download SKILL.mdSave it as .claude/skills/geo-difficulty/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: geo-difficulty
description: Score how hard a keyword is to rank for in the AI-search era — page-level URL Rating of real competitors (not just domain DR), Ahrefs keyword difficulty, and whether a given site already ranks or is cited in Google's AI Overview. Use when the user asks 'how hard is <keyword> to rank', 'geo difficulty for <keyword>', or 'keyword difficulty for <domain>'.

GEO Difficulty

Score keyword ranking difficulty for the AI-search era. Unlike plain Ahrefs KD or domain DR, this:

uses page-level URL Rating (UR) of the results that actually target the query — so a generic article on a huge domain (e.g. mckinsey.com) stops inflating the score;
is client-relative — the same SERP is a wall for a no-name site but ~won for a site already ranking or cited in Google's AI Overview;
folds in the AI Overview citation as a first-class signal.

Disclosure: contributed by Enception AI. Backed by the free public API behind https://www.enception.ai/tools/geo-difficulty (POST https://www.enception.ai/api/tools/geo-difficulty, no API key). Server-side data comes from Ahrefs and SerpAPI.

Usage

bash

bash scripts/score.sh "ai form real estate" "ai slide legal" --client example.com

Pass one or more keywords (quote each). Up to 10 per call.
--client <domain> is optional; add it to get the client-relative verdict (WON / FOOTHOLD / NOT RANKING).
GEO_DIFFICULTY_URL env var overrides the endpoint (rarely needed).

Or call the API directly:

bash

curl -s -X POST https://www.enception.ai/api/tools/geo-difficulty \
  -H 'content-type: application/json' \
  -d '{"keywords":["ai presentation maker"],"client":"example.com"}' --max-time 150

Output columns

absolute — difficulty 0–100 for a brand-new site (0.35·KD + 0.40·median competitor page-UR + 0.25·targeting%).
client_verdict / client_diff — only with --client. WON (top-3 or AI-Overview cited), FOOTHOLD (ranks 4–10), NOT RANKING (with the gap to close, credited for the client's DR).
KD — Ahrefs keyword difficulty; - for zero-volume long-tail.
UR — median page-level URL Rating of the real competitors.
tgt% — share of the top-10 that actually target the query.
AIO — cited (client in the AI Overview), Nsrc (AIO shown, N sources), none, or n/a (AIO not available for this query).
competitors — the targeting results with their UR.

Notes

The AI Overview leg depends on Google actually showing an AIO for the query (intermittent); it degrades gracefully to none/n/a.
Numbers shift day to day as SERPs and UR change — treat as a current snapshot, not a fixed grade.
Each keyword takes a few seconds server-side; keep --max-time generous for batches.

Files

SKILL.md and 1 other file (scripts) in skills/geo-difficulty of OpenClaudia/openclaudia-skills.

SKILL.md
scripts/score.sh

Open the folder on GitHubat commit 28bf209

Compare with similar skills

Geo Difficulty 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 Difficulty compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Geo Difficulty this skillOpenClaudia/openclaudia-skills	711	—	~694	Automated safety check: Pass	MIT	20 days ago
SEO DataforseoAgriciDaniel/codex-seo	791	2 repos	~4.6k	Automated safety check: Pass	MIT	26 days ago
Keyword Researchnowork-studio/notfair-plugin	3.9k	1 repos	~2.6k	Automated safety check: Pass	MIT	7 days ago
Competitor GapRyze-AI-Adgent/open-seo-mcp-skills	4.5k	—	~560	Automated safety check: Pass	MIT	14 days ago
Research Keywordsonvoyage-ai/gtm-engineer-skills	1.3k	—	~4k	Automated safety check: Pass	MIT	4 mo ago
Keyword ResearchRyze-AI-Adgent/open-seo-mcp-skills	4.5k	—	~581	Automated safety check: Pass	MIT	14 days ago

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Works with

Ahrefs

Questions about Geo Difficulty

What does Geo Difficulty do?

Score how hard a keyword is to rank for in the AI-search era — page-level URL Rating of real competitors (not just domain DR), Ahrefs keyword difficulty, and whether a given site already ranks or is…. Geo Difficulty is an agent skill from OpenClaudia/openclaudia-skills. Score how hard a keyword is to rank for in the AI-search era — page-level URL Rating of real competitors (not just domain DR), Ahrefs keyword difficulty, and whether a given site already ranks or is cited in Google's AI Overview.

When should I use Geo Difficulty?

Geo Difficulty fits situations like: the user asks how hard is <keyword to rank; geo difficulty for <keyword; keyword difficulty for <domain.

How do I install Geo Difficulty in Claude Code?

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

How do I install Geo Difficulty in Codex?

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

Can I use Geo Difficulty 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 OpenClaudia/openclaudia-skills --skill geo-difficulty -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-difficulty, .gemini/skills/geo-difficulty, .github/skills/geo-difficulty and .opencode/skills/geo-difficulty in your project.

What does Geo Difficulty need to run?

Going by SKILL.md and its folder, Geo Difficulty needs a shell for the scripts in its folder and the command-line tools its instructions call (bash and curl). Our summary lists: A Bash shell.

Does Geo Difficulty access the network?

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

Is Geo Difficulty 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 Difficulty use?

Geo Difficulty 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 Geo Difficulty use?

About 694 tokens (SKILL.md is roughly 2.8k 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 Geo Difficulty?

Skills that share tags, products or a category with Geo Difficulty: SEO Dataforseo (AgriciDaniel/codex-seo, 791 stars), Keyword Research (nowork-studio/notfair-plugin, 3.9k stars), Competitor Gap (Ryze-AI-Adgent/open-seo-mcp-skills, 4.5k stars) and Research Keywords (onvoyage-ai/gtm-engineer-skills, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Geo Difficulty?

OpenClaudia (a GitHub organization) maintains it in OpenClaudia/openclaudia-skills, which has 711 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on September 18, 2026.

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

Install Geo Difficulty

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

GEO Difficulty

Usage

Output columns

Notes

Files

Compare with similar skills

Similar skills

More from OpenClaudia/openclaudia-skills

Related

Questions about Geo Difficulty