# Gemini Search > Gemini Search - Skill: `dnyoussef/gemini-search` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add dnyoussef/gemini-search` - Raw SKILL.md: https://api.skillmd.com/api/skills/dnyoussef/gemini-search/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: DNYoussef (https://skillmd.com/u/dnyoussef) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/dnyoussef/gemini-search --- /*============================================================================*/ /* SKILL SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/ --- name: SKILL version: 1.0.0 description: | [assert|neutral] Get real-time web information using Gemini's built-in Google Search grounding [ground:given] [conf:0.95] [state:confirmed] category: platforms tags: - gemini - web-search - real-time - documentation - current-info author: system cognitive_frame: primary: compositional goal_analysis: first_order: "Execute SKILL workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic platforms processes" --- /*----------------------------------------------------------------------------*/ /* S0 META-IDENTITY */ /*----------------------------------------------------------------------------*/ [define|neutral] SKILL := { name: "SKILL", category: "platforms", version: "1.0.0", layer: L1 } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S1 COGNITIVE FRAME */ /*----------------------------------------------------------------------------*/ [define|neutral] COGNITIVE_FRAME := { frame: "Compositional", source: "German", force: "Build from primitives?" } [ground:cognitive-science] [conf:0.92] [state:confirmed] ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. /*----------------------------------------------------------------------------*/ /* S2 TRIGGER CONDITIONS */ /*----------------------------------------------------------------------------*/ [define|neutral] TRIGGER_POSITIVE := { keywords: ["SKILL", "platforms", "workflow"], context: "user needs SKILL capability" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S3 CORE CONTENT */ /*----------------------------------------------------------------------------*/ # Gemini Search Skill ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. ## Purpose Leverage Gemini CLI's built-in Google Search grounding to fetch real-time web information, validate current best practices, and access the latest documentation - capabilities Claude Code doesn't have natively. ## Unique Capability **What Claude Code Can't Do**: Claude Code's knowledge has a cutoff date and cannot access real-time web information during analysis. Gemini CLI has built-in Google Search integration that grounds responses in current web content with citations. ## When to Use ### Perfect For: ✅ Checking latest API documentation ✅ Finding current library versions and changelogs ✅ Validating best practices against current standards ✅ Researching breaking changes in dependencies ✅ Comparing current technology options ✅ Finding solutions to recent issues ✅ Checking security advisories and CVEs ✅ Verifying current framework conventions ### Don't Use When: ❌ Information is in your local codebase (use Claude Code) ❌ Need deep implementation logic (use Claude Code) ❌ Question doesn't require current web information ❌ Working with proprietary/internal systems ## How It Works This skill spawns a **Gemini Search Agent** that: 1. Uses Gemini CLI's `@search` tool or built-in Google Search grounding 2. Fetches current web content with citations 3. Grounds analysis in real-time information 4. Returns findings with source URLs to Claude Code ## Usage ### Basic Search ``` /gemini-search ``` ### With Specific Query ``` /gemini-search "What are the breaking changes in React 19?" ``` ### Detailed Research ``` /gemini-search "Compare authentication approaches for Next.js 15 apps with latest security best practices" ``` ## Input Examples ```bash # API Documentation /gemini-search "Latest Stripe API authentication methods 2025" # Breaking Changes /gemini-search "What changed in Python 3.13 that would break my code?" # Best Practices /gemini-search "Current best practices for securing Node.js REST APIs" # Version Information /gemini-search "Is TensorFlow 2.16 stable? What are known issues?" # Framework Conventions /gemini-search "How should I structure a Next.js 15 app directory?" # Security Research /gemini-search "Recent vulnerabilities in Express.js and mitigation strategies" # Technology Comparison /gemini-search "Compare Prisma vs Drizzle ORM for TypeScript projects 2025" ``` ## Output The agent provides: - **Direct Answer**: Response to your query - **Source Citations**: URLs where information was found - **Current Status**: What's latest/stable/recommended - **Key Findings**: Bullet points of important info - **Recommendations**: Based on current web consensus - **Related Resources**: Links to docs, guides, discussions ## Real-World Examples ### Example 1: API Changes ``` Query: "What changed in OpenAI API v2?" Agent searches and returns: - New endpoint structure with examples - Deprecated methods and replacements - Migration guide links - Breaking changes to watch for - Source: Official OpenAI docs + dev discussions ``` ### Example 2: Security Advisory ``` Query: "Are there security issues with lodash 4.17.20?" Agent searches and returns: - CVE-2020-8203 prototype pollution vulnerability - Affected versions: < 4.17.21 - Severity: High - Fix: Upgrade to 4.17.21 or higher - Sources: npm advisory, Snyk, GitHub issues ``` ### Example 3: Framework Best Practices ``` Query: "How should I handle authentication in Next.js 15?" Agent searches and returns: - Recommended approaches (NextAuth.js, Clerk, Auth.js) - App router vs pages router differences - Server components considerations - Code examples from official docs - Sources: Next.js docs, Vercel guides, community tutorials ``` ## Technical Details ### Gemini CLI Command Pattern ```bash # Using @search tool gemini "@search What are the latest Rust 2024 features?" # Natural prompt with automatic search gemini "Search for current best practices i /*----------------------------------------------------------------------------*/ /* S4 SUCCESS CRITERIA */ /*----------------------------------------------------------------------------*/ [define|neutral] SUCCESS_CRITERIA := { primary: "Skill execution completes successfully", quality: "Output meets quality thresholds", verification: "Results validated against requirements" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S5 MCP INTEGRATION */ /*----------------------------------------------------------------------------*/ [define|neutral] MCP_INTEGRATION := { memory_mcp: "Store execution results and patterns", tools: ["mcp__memory-mcp__memory_store", "mcp__memory-mcp__vector_search"] } [ground:witnessed:mcp-config] [conf:0.95] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S6 MEMORY NAMESPACE */ /*----------------------------------------------------------------------------*/ [define|neutral] MEMORY_NAMESPACE := { pattern: "skills/platforms/SKILL/{project}/{timestamp}", store: ["executions", "decisions", "patterns"], retrieve: ["similar_tasks", "proven_patterns"] } [ground:system-policy] [conf:1.0] [state:confirmed] [define|neutral] MEMORY_TAGGING := { WHO: "SKILL-{session_id}", WHEN: "ISO8601_timestamp", PROJECT: "{project_name}", WHY: "skill-execution" } [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S7 SKILL COMPLETION VERIFICATION */ /*----------------------------------------------------------------------------*/ [direct|emphatic] COMPLETION_CHECKLIST := { agent_spawning: "Spawn agents via Task()", registry_validation: "Use registry agents only", todowrite_called: "Track progress with TodoWrite", work_delegation: "Delegate to specialized agents" } [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S8 ABSOLUTE RULES */ /*----------------------------------------------------------------------------*/ [direct|emphatic] RULE_NO_UNICODE := forall(output): NOT(unicode_outside_ascii) [ground:windows-compatibility] [conf:1.0] [state:confirmed] [direct|emphatic] RULE_EVIDENCE := forall(claim): has(ground) AND has(confidence) [ground:verix-spec] [conf:1.0] [state:confirmed] [direct|emphatic] RULE_REGISTRY := forall(agent): agent IN AGENT_REGISTRY [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* PROMISE */ /*----------------------------------------------------------------------------*/ [commit|confident] SKILL_VERILINGUA_VERIX_COMPLIANT [ground:self-validation] [conf:0.99] [state:confirmed]