Agent skill

gemini-search

View SKILL.md on GitHub Repository
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Install this agent skill to your Project

npx add-skill https://github.com/DNYoussef/context-cascade/tree/main/skills/platforms/gemini-search

SKILL.md

/============================================================================/ /* 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] <promise>SKILL_VERILINGUA_VERIX_COMPLIANT</promise> [ground:self-validation] [conf:0.99] [state:confirmed]

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