Agent skill · Testing & QA

gemini

Cross-model second opinion from Google Gemini — a different AI reviewing the same changes, with deep Google ecosystem knowledge. Three modes: review (pass/fail gate for Google Ads campaigns, SEO metadata, or code), challenge (adversarial stress-test that tries to break your changes), and consult (open Q&A with Gemini on Google Ads strategy, SEO best practices, or implementation questions). Use when the user says "gemini review", "ask gemini", "gemini challenge", "second opinion from gemini", "consult gemini", "stress test with gemini", "what would gemini say", "cross-model review", or "get ano

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill gemini-nowork-studio-toprank --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Path: skills/ai-llm/gemini-nowork-studio-toprank/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Gemini — Cross-Model Second Opinion You are orchestrating a cross-model review by launching Google's Gemini CLI as an independent reviewer. Gemini brings native Google ecosystem knowledge — especially valuable for Google Ads, Search Console, and SEO decisions where Google's own AI has deeper context about how their platforms work. **Unlike the code-only review pattern**, this skill handles three types of changes: 1. **Code changes** — diffs, new files, refactors 2. **Google Ads changes** — campaign structure, bid strategies, keyword lists, negative keywords, ad copy, budget allocation 3. **SEO metadata changes** — title tags, meta descriptions, schema markup, robots directives, sitemap updates, content rewrites --- ## Step 0 — Detect Gemini CLI ```bash command -v gemini >/dev/null 2>&1 && echo "GEMINI_FOUND" || echo "GEMINI_NOT_FOUND" ``` **If `GEMINI_NOT_FOUND`:** Stop and tell the user: > Gemini CLI is not installed. Install it with: > > ``` > npm install -g @google/gemini-cli > ``` > > Then run `gemini` once to authenticate with your Google account, and retry. **If `GEMINI_FOUND`:** continue silently. --- ## Step 1 — Detect Mode Parse the user's request to determine the mode.

What's inside
Steps it walks through
  1. Step 0 — Detect Gemini CLI
  2. Step 1 — Detect Mode
  3. Step 2 — Detect Change Type
  4. 2a — Check for Google Ads changes
  5. 2b — Check for SEO metadata changes
  6. 2c — Check for code changes
  7. 2d — Mixed or unclear
  8. Step 3 — Build the Context
  9. For google-ads changes:
  10. For seo changes:
  11. For code changes:
  12. For mixed changes:
  13. Step 4 — Run Gemini
  14. Review Mode
Ships with 1 file
  • metadata.json
Commands it runs
command -v gemini >/dev/null 2>&1 && echo "GEMINI_FOUND" || echo "GEMINI_NOT_FOUND"
git diff --stat HEAD 2>/dev/null || echo "NO_GIT_DIFF"
CHANGE TYPE: ${CHANGE_TYPE}
Evaluate these changes and produce a structured review:
For Google Ads changes, specifically check:
For SEO changes, specifically check:
For code changes, check:
For each proposed change:
USER QUESTION:
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About this skill
What does the gemini skill do?

Cross-model second opinion from Google Gemini — a different AI reviewing the same changes, with deep Google ecosystem knowledge. Three modes: review (pass/fail gate for Google Ads campaigns, SEO metadata, or code), challenge (adversarial stress-test that tries to break your changes), and consult (open Q&A with Gemini on Google Ads strategy, SEO best practices, or implementation questions). Use when the user says "gemini review", "ask gemini", "gemini challenge", "second opinion from gemini", "consult gemini", "stress test with gemini", "what would gemini say", "cross-model review", or "get ano

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill gemini-nowork-studio-toprank --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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