Repository
mverab/eGEOagents agent skills
- skills
- 5
- GitHub stars
- 196
GitHub description: “Open-source Generative Engine Optimization (GEO) & Answer Engine Optimization (AEO) toolkit — optimize content to rank in ChatGPT, Perplexity, Gemini & Claude. AI SEO / LLM SEO. CLI, Claude Code, MCP.”
- Stars
- 196 (56 forks)
- Licence
- MIT
- Last push
- Oct 2026
- Created
- Jan 2026
- Homepage
- egeoagents.com
- content-optimization
- generative-engine-optimization
- geo
- schema-markup
- aeo
- ai-search-optimization
- ai-seo
- ai-visibility
- answer-engine-optimization
- chatgpt
- citation-tracking
- claude
- cli
- gemini
- llm-seo
- llms-txt
Install all skills
npx skills add mverab/eGEOagentsAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in mverab/eGEOagents, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Analyze AI-search competitors for a query and recommend ranking strategy. | mverab/ | 196 | — | ~723 | Automated safety check: Pass | MIT | 4 days ago |
| 2 | Score content against the 10 GEO criteria with evidence and prioritized fixes. | mverab/ | 196 | — | ~930 | Automated safety check: Pass | MIT | 4 days ago |
| 3 | 3.Geo Loop Run one bounded eGEOagents loop iteration over a workspace domain - read the charter and fresh collector data, do ONE unit of work, write substrate artifacts, append one Timeline entry and one LOG… | mverab/ | 196 | — | ~1.5k | Automated safety check: Pass | MIT | 4 days ago |
| 4 | Generate JSON-LD schema markup for pages and content types with an implementation checklist. | mverab/ | 196 | — | ~842 | Automated safety check: Pass | MIT | 4 days ago |
| 5 | Check Brave Search and Chrome DevTools MCP availability and provide exact setup snippets. | mverab/ | 196 | — | ~371 | Automated safety check: Pass | MIT | 4 days ago |
Questions, answered from the data.
What is the best skill in mverab/eGEOagents?
Competitive Analysis from mverab/eGEOagents ranks first of the 5 skills in mverab/eGEOagents listed here, with the highest score: its repository has 196 GitHub stars, its SKILL.md loads about 723 tokens and it passes the automated safety check with no findings. Next come Content Scoring and Geo Loop.
Are the skills in mverab/eGEOagents official?
None yet. All 5 skills in mverab/eGEOagents listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from mverab/eGEOagents?
Run npx skills add mverab/eGEOagents in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.