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gemini-specialist

by 3x-Projetos

Sistema de Memória Hierárquica para Claude CLI - Economia de 50-96% em tokens com personalização contínua

2🍴 0📅 2026年1月20日
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SKILL.md


name: gemini-specialist description: Use Gemini CLI for massive context tasks (1M-2M tokens). Orchestrator evaluates safety and directs usage patterns intelligently. version: 1.0.0

Gemini Specialist - Orchestrated Integration

Delegate heavy-lifting tasks to Gemini CLI while maintaining safety through intelligent direction.

Workflow

  1. Evaluate operation:

    • File criticality (configs, core logic, data)?
    • Git status (clean, uncommitted changes)?
    • Operation type (analysis, generation, modification)?
  2. Choose pattern:

    • Low risk (analysis, new files): Direct execution
    • Medium risk (refactoring, critical files): Temp-first review
    • High risk (data files, configs): Git commit + temp-first
  3. Structure prompt:

    • Be specific (bounded scope = predictable output)
    • State constraints ("preserve all function signatures")
    • Define output format ("complete file" vs "suggestions only")
  4. Execute with safety:

    # Pattern 1: Direct (low risk)
    gemini -p "prompt" < input.txt --yolo -o text > output.txt
    
    # Pattern 2: Temp-first (medium risk)
    gemini -p "prompt" < critical.py --yolo -o text > /tmp/gemini-out.py
    # Validate, then apply if good
    
    # Pattern 3: Git safety net (high risk)
    git add . && git commit -m "pre-gemini backup"
    gemini -p "prompt" --yolo -o text < file > file
    # If bad: git restore file
    
  5. Validate output:

    • Check file integrity (not corrupted, valid syntax)
    • Verify scope (did it modify only what was asked?)
    • Compare if needed (diff old vs new)
  6. Report unexpected behavior to user

When to Use

  • Large codebase analysis (>100k tokens)
  • Documentation review (100+ files)
  • Cross-validation (second opinion on critical decisions)
  • Architecture planning (high-level design with massive context)
  • Real-time research (Google Search grounding)

Gemini Capabilities

  • Context: 1M-2M tokens (5-10x Claude)
  • Search: Built-in Google Search grounding
  • Speed: Fast analysis, slower implementation
  • Cost: Free tier (1000 requests/day)

Key Principle

Direction > Prohibition. Evaluate risk, choose pattern, structure prompts. Trust Gemini with proper guidance and safety nets.


See EXAMPLES.md for practical workflows and PATTERNS.md for detailed safety strategies.

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