/============================================================================/ /* 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:
- •Uses Gemini CLI's
@searchtool or built-in Google Search grounding - •Fetches current web content with citations
- •Grounds analysis in real-time information
- •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
# 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
# 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] <promise>SKILL_VERILINGUA_VERIX_COMPLIANT</promise> [ground:self-validation] [conf:0.99] [state:confirmed]