Agent skill
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 this agent skill to your Project
npx add-skill https://github.com/FunnelEnvy/agents_webinar_demos/tree/main/.claude/skills/gemini-qa
SKILL.md
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:
- Formulate a clear prompt for Gemini
- Run
gemini -p "question"in headless mode - 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
-pflag for headless (non-interactive) mode - Gemini is git-aware and respects
.gitignorefor directory references - For complex questions, use the subagent for better context isolation
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