Claude-skill-registry gemini-qa

Use Google Gemini CLI to answer questions about code, analyze files, or perform codebase exploration. Invoke this skill when the user asks to use Gemini, wants a second opinion from another AI, or wants to compare Claude's answer with Gemini's response.

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/gemini-qa" ~/.claude/skills/majiayu000-claude-skill-registry-gemini-qa && rm -rf "$T"
manifest: skills/data/gemini-qa/SKILL.md
source content

Gemini Q&A

Use Google's Gemini CLI to answer questions about the codebase.

Prerequisites

Gemini CLI must be installed:

npm install -g @anthropic-ai/gemini-cli
# or follow installation at https://github.com/google-gemini/gemini-cli

Authentication must be configured (Google API key or Application Default Credentials).

Usage

Spawn the

gemini-qa
subagent to handle the question:

Use the Task tool to spawn the gemini-qa agent with the user's question.

The subagent will:

  1. Formulate a clear prompt for Gemini
  2. Run
    gemini -p "question"
    in headless mode
  3. Return Gemini's response

Direct Usage (without subagent)

If you prefer to run Gemini directly:

gemini -p "your question here"
# or
gemini "your question here"

Command Options

  • Basic query:
    gemini -p "question"
  • Positional:
    gemini "question"
  • Pipe input:
    cat file.txt | gemini -p "summarize this"
  • JSON output:
    gemini -p "question" --output-format json
  • File reference:
    gemini -p "@src/file.ts explain this"

File References with @

Gemini supports

@
syntax to include file context:

# Reference a specific file
gemini -p "@src/auth.ts Explain this module"

# Reference a directory
gemini -p "@src/ Summarize all code here"

Common Use Cases

  • Code explanation: "What does this function do?"
  • Architecture questions: "How is the database layer structured?"
  • Finding patterns: "Where is error handling implemented?"
  • Code review: "Review this file for potential issues"
  • Comparison: Get a second opinion on a code question

Notes

  • Use
    -p
    flag for headless (non-interactive) mode
  • Gemini is git-aware and respects
    .gitignore
    for directory references
  • For complex questions, use the subagent for better context isolation