Data And Original Research
social-media-skills/skills
The original-research / data-study content type — turn proprietary data, a survey, a public-dataset analysis, or an experiment into the most linkable and AI-citable asset you can publish.
Run a full GEO/SEO client analysis for a domain via the Enception external API — start the analysis, poll its status, and download the PDF report covering AI visibility, market research, and…
$ npx skills add OpenClaudia/openclaudia-skills --skill geo-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OpenClaudia/openclaudia-skills geo-analysis --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/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/geo-analysis .claude/skills/geo-analysis && 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 "geo-analysis" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/geo-analysis into .claude/skills/geo-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-analysis", 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/OpenClaudia/openclaudia-skills/tree/main/skills/geo-analysisType 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 OpenClaudia/openclaudia-skills --skill geo-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OpenClaudia/openclaudia-skills geo-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/geo-analysis .agents/skills/geo-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "geo-analysis" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/geo-analysis into .agents/skills/geo-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-analysis", 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 OpenClaudia/openclaudia-skills --skill geo-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OpenClaudia/openclaudia-skills geo-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/geo-analysis .cursor/skills/geo-analysis && 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 "geo-analysis" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/geo-analysis into .cursor/skills/geo-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-analysis", 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/OpenClaudia/openclaudia-skills.git --path skills/geo-analysis--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 OpenClaudia/openclaudia-skills --skill geo-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OpenClaudia/openclaudia-skills geo-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/geo-analysis .gemini/skills/geo-analysis && 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 "geo-analysis" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/geo-analysis into .gemini/skills/geo-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-analysis", 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 OpenClaudia/openclaudia-skills geo-analysisInstalls 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 OpenClaudia/openclaudia-skills --skill geo-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/geo-analysis .github/skills/geo-analysis && 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 "geo-analysis" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/geo-analysis into .github/skills/geo-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-analysis", 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 OpenClaudia/openclaudia-skills --skill geo-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OpenClaudia/openclaudia-skills geo-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/geo-analysis .opencode/skills/geo-analysis && 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 "geo-analysis" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/geo-analysis into .opencode/skills/geo-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-analysis", 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.
geo-analysisRun a full GEO/SEO client analysis for a domain via the Enception external API — start the analysis, poll its status, and download the PDF report covering AI visibility, market research, and…
Geo Analysis is an agent skill from OpenClaudia/openclaudia-skills. Run a full GEO/SEO client analysis for a domain via the Enception external API — start the analysis, poll its status, and download the PDF report covering AI visibility, market research, and competitors. Use when the user says 'run a client analysis', 'analyze <domain for GEO', 'GEO analysis for <domain', or 'check analysis status'.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering AI search optimization, Market research and PDF. 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.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 28bf209. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
curlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
enception.aiFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
ENCEPTION_ANALYSIS_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Geo Analysis loads about 1.1k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 373 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.
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.
The full file from OpenClaudia/openclaudia-skills at commit 28bf209, republished under its MIT licence (© OpenClaudia). 373 words, ~1,053 tokens.
.claude/skills/geo-analysis/SKILL.md (or your agent's skills folder).Run a full GEO/SEO analysis for a domain and get a client-ready PDF report: AI visibility (is the brand recommended by ChatGPT / Google AI), deep market research, and competitor landscape.
Thin wrapper over the Enception client-analysis API. Three operations: start, status, report (plus an optional brand-name correction).
Disclosure: contributed by Enception AI and calls Enception's paid external API. Docs: https://www.enception.ai/doc/api-client-analysis
ENCEPTION_ANALYSIS_API_KEY — sent as the x-api-key header. Self-serve: sign up at https://www.enception.ai, then generate a free-tier key under Account → API Key (2 analyses/month free; contact the team for higher limits). Rate limit: 10 requests/minute.POST https://www.enception.ai/api/external/client-analysis/start
Required: website_url, primary_region, core_goals. Sensible defaults: primary_region=us, core_goals=traffic, output_language=en, competitors=[]. The API normalizes URLs to a bare domain and rejects IPs. Returns { id, message } — save the id.
Pick output_language from an explicit request first, then the user's conversation language, then the domain TLD (.cn → zh; otherwise en).
curl -s -X POST "https://www.enception.ai/api/external/client-analysis/start" \
-H "x-api-key: $ENCEPTION_ANALYSIS_API_KEY" -H "Content-Type: application/json" \
-d '{"website_url":"https://example.com/","primary_region":"us","competitors":[],"core_goals":"traffic","output_language":"en"}'Only override primary_region / core_goals / competitors if the user specifies. core_goals is free text (e.g. traffic, ranking). Competitors: [{"name":"X","domain":"x.com"}, ...] (max 5). For multiple domains, fire one POST each and collect the ids.
POST https://www.enception.ai/api/external/client-analysis/status with body { "id": "<id>" } and the same x-api-key header. Returns { status: 'pending' | 'failed' | 'succeeded', progress_percent?, pdf_url? }.
A full run takes ~20–45 minutes — the bottleneck is the deep market-research step. Poll on a long interval (minutes, not seconds). succeeded ⇒ ready to fetch the report. If a run fails or stalls indefinitely, report that to the user rather than inventing results.
GET https://www.enception.ai/api/external/client-analysis/report/<id> — public, no auth; shareable by id. Works once status is succeeded (also serves partial runs).
curl -s -o geo-analysis-example.pdf \
"https://www.enception.ai/api/external/client-analysis/report/<id>"Confirm it's a real PDF (file geo-analysis-example.pdf), then give the user the file and/or the public URL.
POST https://www.enception.ai/api/external/client-analysis/update-brand with body { "id", "brand_name"?, "alternative_names": [...] } and the x-api-key header.
When a report shows zero/low AI visibility but the brand IS recommended by ChatGPT/Google, it's almost always because the brand is only known by its fused domain label (e.g. pudurobotics) while AI engines say "Pudu Robotics". Supply the real name + aliases and the route recomputes visibility from the already-stored answers (no re-query — fast), then re-fetch the report.
curl -s -X POST "https://www.enception.ai/api/external/client-analysis/update-brand" \
-H "x-api-key: $ENCEPTION_ANALYSIS_API_KEY" -H "Content-Type: application/json" \
-d '{"id":"<id>","brand_name":"Pudu Robotics","alternative_names":["Pudu","PuduBot"]}'Returns { success, mention_rate, overall_score, average_position, analysis_regenerated }. New analyses resolve the brand name automatically; this is the manual correction path for existing reports.
© OpenClaudia, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/geo-analysis of OpenClaudia/openclaudia-skills.
Open the folder on GitHubat commit 28bf209
Geo Analysis 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 |
|---|---|---|---|---|---|---|
| Geo Analysis this skillOpenClaudia/openclaudia-skills | 713 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Data And Original Researchsocial-media-skills/skills | 128 | — | ~2k | Automated safety check: Pass | MIT | |
| Listicle And Roundupsocial-media-skills/skills | 128 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Client Deliverablesgarrettjsmith/localseoskills | 120 | — | ~5.8k | Automated safety check: Pass | MIT | |
| Market Analysisqusong0627/QuantMind | 1.7k | — | ~1k | Automated safety check: Pass | AGPL-3.0 | |
| Geo Fundamentalswasp-lang/wasp | 19k | 9 repos | ~861 | Automated safety check: Pass | MIT |
social-media-skills/skills
The original-research / data-study content type — turn proprietary data, a survey, a public-dataset analysis, or an experiment into the most linkable and AI-citable asset you can publish.
social-media-skills/skills
The list/roundup content type — design honestly-curated, scannable, AI-citable listicles ("7 ways to X", "best tools for Y") and expert / product / link roundups.
garrettjsmith/localseoskills
When the user needs to create a client-facing document such as an SEO audit, proposal, scope of work, competitive analysis report, onboarding document, or market intelligence report.
qusong0627/QuantMind
市场分析报告(大盘快照版)— 复用市场分析页面全部数据能力:核心指数、市场广度与情绪温度、行业板块/热门概念热力图、行业多日涨跌幅对比(1/3/5日)、板块资金流(1日/5日/10日)、个股主力资金 Top20、标签体系统计。用户说「市场分析」「大盘分析」「行情分析」「今天市场怎么样」「市场报告」时使用:跑取数脚本(marketanalysis.py)→ AI 基于 facts 撰写解读 →…
wasp-lang/wasp
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
ReScienceLab/opc-skills
SEO & GEO (Generative Engine Optimization) for websites. An agent skill from ReScienceLab/opc-skills.
OpenClaudia/openclaudia-skills
Build an interactive competitive-traffic report for any company and its rivals — monthly visits (SimilarWeb), organic search traffic and Domain Rating (Ahrefs) — as one self-contained HTML page with…
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…
OpenClaudia/openclaudia-skills
Audit EVERY Google Search Console property at once — rank all sites by clicks and impressions with period-over-period deltas, then diff keywords per site to surface what is newly ranking, rising…
OpenClaudia/openclaudia-skills
Fetch website traffic estimates (monthly visits, traffic sources, top countries, keywords, engagement, ranks) for any domain from SimilarWeb.
OpenClaudia/openclaudia-skills
Manages Ahrefs API usage in Python using ahrefs-python library.
OpenClaudia/openclaudia-skills
Design, plan, and analyze A/B tests with statistical rigor. An agent skill from OpenClaudia/openclaudia-skills.
Categories
Run a full GEO/SEO client analysis for a domain via the Enception external API — start the analysis, poll its status, and download the PDF report covering AI visibility, market research, and…. Geo Analysis is an agent skill from OpenClaudia/openclaudia-skills. Run a full GEO/SEO client analysis for a domain via the Enception external API — start the analysis, poll its status, and download the PDF report covering AI visibility, market research, and competitors.
Geo Analysis fits situations like: the user says run a client analysis; analyze <domain for GEO; GEO analysis for <domain; check analysis status.
Run `npx skills add OpenClaudia/openclaudia-skills --skill geo-analysis -a claude-code`. Or copy the skill folder (skills/geo-analysis in OpenClaudia/openclaudia-skills) into .claude/skills/geo-analysis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add OpenClaudia/openclaudia-skills --skill geo-analysis -a codex`. Or copy the skill folder (skills/geo-analysis in OpenClaudia/openclaudia-skills) into .agents/skills/geo-analysis in your project. Codex loads it when a task matches its description.
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-analysis -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-analysis, .gemini/skills/geo-analysis, .github/skills/geo-analysis and .opencode/skills/geo-analysis in your project.
Going by SKILL.md and its folder, Geo Analysis needs the command-line tools its instructions call (curl) and credentials named ENCEPTION_ANALYSIS_API_KEY. Our summary lists: A credential in ENCEPTION_ANALYSIS_API_KEY.
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.
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.
Geo Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Geo Analysis: Data And Original Research (social-media-skills/skills, 128 stars), Listicle And Roundup (social-media-skills/skills, 128 stars), Client Deliverables (garrettjsmith/localseoskills, 120 stars) and Market Analysis (qusong0627/QuantMind, 1.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
OpenClaudia (a GitHub organization) maintains it in OpenClaudia/openclaudia-skills, which has 713 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.