nityeshaga/claude-home-base/gemini-thinking

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Get a second opinion from Google's Gemini model on any task. Use this skill when you want an independent perspective from another AI — for example, when debugging a tricky issue, evaluating architectural trade-offs, reviewing code, sanity-checking your reasoning, brainstorming alternatives, or any situation where a different viewpoint would be valuable. Also use when the user explicitly asks you to consult Gemini or get a second opinion.

Install

npx vskill@latest install nityeshaga/claude-home-base/gemini-thinking

SKILL.md

Gemini Thinking

Consult Google's Gemini model for a second opinion on any task. Run the script, pass your question, and incorporate the response into your own thinking.

Before You Start

Check if GEMINI_API_KEY is set in the environment. If not, ask the user to configure it:

  1. Get a Gemini API key from https://aistudio.google.com/apikey
  2. Add to ~/.zshrc: export GEMINI_API_KEY=your_key_here
  3. Run source ~/.zshrc

Script

bash
python3 scripts/gemini_think.py "Your question here" [--model MODEL] [--file FILE] [--system INSTRUCTION] [--thinking-budget N]
Options
OptionValues
--modelgemini-3-pro-preview (default, strongest reasoning), gemini-3-flash-preview (fast, balanced)
--filePath to a file to include as context
--systemSystem instruction to guide the model's behavior
--thinking-budgetMax thinking tokens, 0-8192 (default: 8192 = maximum reasoning depth)

When and How to Use

Use this as a thinking tool, not a replacement for your own judgment. Good patterns:

  • Debugging: Stuck on a bug? Describe the symptoms and code, ask Gemini what it thinks.
  • Architecture: Weighing two approaches? Describe both and ask for trade-off analysis.
  • Code review: Pass a file with --file and ask for a review.
  • Sanity check: "Does this logic handle edge cases correctly?" with context.
  • Brainstorming: "What are alternative approaches to solve X?"
Example Usage
bash
# Quick question (uses Gemini 3 Pro with max thinking by default)
python3 scripts/gemini_think.py "What are the trade-offs between REST and GraphQL for a read-heavy internal API?"
# Code review with file context
python3 scripts/gemini_think.py --file src/auth.py "Review this auth module for security issues"
# Fast model for simple questions
python3 scripts/gemini_think.py --model gemini-3-flash-preview "Is it better to use a Set or Array for deduplication in JavaScript?"
# Lower thinking budget for quick answers
python3 scripts/gemini_think.py --thinking-budget 1024 "What's the difference between a mutex and a semaphore?"
# With system instruction for focused feedback
python3 scripts/gemini_think.py --system "You are a senior security engineer" --file config.yaml "Audit this configuration for security concerns"

Guidelines

  • Default to gemini-3-pro-preview for complex reasoning. Use gemini-3-flash-preview for quick factual questions.
  • Thinking budget is set to 8192 (max) by default for deepest reasoning. Lower with --thinking-budget 1024 for faster, cheaper responses.
  • Always include relevant context — Gemini can't see the codebase, so pass code via --file or inline in the prompt.
  • Present Gemini's response as a second perspective, not as authoritative. Synthesize it with your own analysis.
  • Don't over-use — reserve for genuinely ambiguous or challenging decisions, not routine tasks.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

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