activer007/gemini
skills_categorized/domain-utilities/gemini/SKILL.md
Execute Gemini CLI for AI-powered code analysis and generation. Use when you need to leverage Google's Gemini models for complex reasoning tasks.
$ install --global
skillsauthnpx skillsauth add activer007/ordinary-claude-skills geminiInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Mar 30, 2026, 12:51 AM36.3s2 files scanned
SKILL.md
- name:
- gemini
- description:
- Execute Gemini CLI for AI-powered code analysis and generation. Use when you need to leverage Google's Gemini models for complex reasoning tasks.
Gemini CLI Integration
Overview
Execute Gemini CLI commands with support for multiple models and flexible prompt input. Integrates Google's Gemini AI models into Claude Code workflows.
When to Use
- Complex reasoning tasks requiring advanced AI capabilities
- Code generation and analysis with Gemini models
- Tasks requiring Google's latest AI technology
- Alternative perspective on code problems
Usage
Mandatory: Run via uv with fixed timeout 7200000ms (foreground):
uv run ~/.claude/skills/gemini/scripts/gemini.py "<prompt>" [working_dir]
Optional (direct execution or using Python):
~/.claude/skills/gemini/scripts/gemini.py "<prompt>" [working_dir]
# or
python3 ~/.claude/skills/gemini/scripts/gemini.py "<prompt>" [working_dir]
Environment Variables
- GEMINI_MODEL: Configure model (default:
gemini-3-pro-preview)- Example:
export GEMINI_MODEL=gemini-3
- Example:
Timeout Control
- Fixed: 7200000 milliseconds (2 hours), immutable
- Bash tool: Always set
timeout: 7200000for double protection
Parameters
prompt(required): Task prompt or questionworking_dir(optional): Working directory (default: current directory)
Return Format
Plain text output from Gemini:
Model response text here...
Error format (stderr):
ERROR: Error message
Invocation Pattern
When calling via Bash tool, always include the timeout parameter:
Bash tool parameters:
- command: uv run ~/.claude/skills/gemini/scripts/gemini.py "<prompt>"
- timeout: 7200000
- description: <brief description of the task>
Alternatives:
# Direct execution (simplest)
- command: ~/.claude/skills/gemini/scripts/gemini.py "<prompt>"
# Using python3
- command: python3 ~/.claude/skills/gemini/scripts/gemini.py "<prompt>"
Examples
Basic query:
uv run ~/.claude/skills/gemini/scripts/gemini.py "explain quantum computing"
# timeout: 7200000
Code analysis:
uv run ~/.claude/skills/gemini/scripts/gemini.py "review this code for security issues: $(cat app.py)"
# timeout: 7200000
With specific working directory:
uv run ~/.claude/skills/gemini/scripts/gemini.py "analyze project structure" "/path/to/project"
# timeout: 7200000
Using python3 directly (alternative):
python3 ~/.claude/skills/gemini/scripts/gemini.py "your prompt here"
Notes
- Recommended: Use
uv runfor automatic Python environment management (requires uv installed) - Alternative: Direct execution
./gemini.py(uses system Python via shebang) - Python implementation using standard library (zero dependencies)
- Cross-platform compatible (Windows/macOS/Linux)
- PEP 723 compliant (inline script metadata)
- Requires Gemini CLI installed and authenticated
- Supports all Gemini model variants (configure via
GEMINI_MODELenvironment variable) - Output is streamed directly from Gemini CLI
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