querying-gemini

name	querying-gemini
description	Queries Gemini 3 Flash for high-speed code analysis, generation, and complex coding questions. Provides P0-P3 prioritized analysis reports, architecture audits, and code generation with configurable thinking levels (minimal/low/medium/high). 1M context, 64K output. Pro-level intelligence at Flash pricing.
allowed-tools	["Read","Grep","Glob","Bash"]

Querying Gemini 3 Flash

Queries Gemini 3 Flash for fast, intelligent code analysis, generation, and complex technical questions. Leverages Gemini 3 Flash's 1M token context window and configurable thinking levels to provide comprehensive analysis with P0-P3 prioritized findings.

Quick Reference

Gemini 3 Flash provides four specialized capabilities via standalone scripts:

Script	Purpose	Use Case
gemini_query.py	General queries	Complex coding questions, algorithm design, concept explanations
gemini_analyze.py	Code analysis	Pre-merge reviews, architecture audits, security scans
gemini_code.py	Code generation	Generate production-ready code with best practices
gemini_fix.py	Root-cause fixes	Bug debugging that addresses underlying issues (not symptoms)

Key Features:

• 1,000,000 token context window (analyze very large codebases)
• 64,000 token output limit (comprehensive responses)
• Configurable thinking levels (minimal/low/medium/high)
• Structured P0-P3 prioritization for findings
• Jan 2025 knowledge cutoff
• Pro-level intelligence at Flash pricing ($0.50/1M input, $3/1M output)

Scripts

gemini_query.py

General-purpose queries with configurable thinking levels.

Usage:

python .claude/skills/querying-gemini/scripts/gemini_query.py \
  --prompt "How should I implement retry logic with exponential backoff?" \
  --thinking-level high \
  --timeout 300 \
  --output-format markdown

Arguments:

Argument	Required	Default	Values	Description
--prompt	Yes	-	string	The question or request
--thinking-level	No	high	minimal/low/medium/high	Thinking depth
--timeout	No	300	float	Max wait time in seconds
--output-format	No	markdown	markdown/json	Output format

Example:

# Ask about Python async patterns
python .claude/skills/querying-gemini/scripts/gemini_query.py \
  --prompt "What are the best practices for handling asyncio.CancelledError?"

# Complex algorithm design
python .claude/skills/querying-gemini/scripts/gemini_query.py \
  --prompt "Design a rate limiter using token bucket algorithm" \
  --thinking-level high

gemini_analyze.py

Comprehensive code analysis for single files or complete projects.

Usage:

python .claude/skills/querying-gemini/scripts/gemini_analyze.py \
  --target "app/core/" \
  --focus-areas "security,performance" \
  --analysis-type comprehensive \
  --timeout 600 \
  --output-format markdown

Arguments:

Argument	Required	Default	Values	Description
--target	Yes	-	path	File or directory to analyze
--focus-areas	No	all	security/performance/architecture/testing/quality/all	Analysis dimensions (comma-separated)
--analysis-type	No	comprehensive	quick/comprehensive/deep	Analysis depth
--timeout	No	600	float	Max wait time in seconds
--output-format	No	markdown	markdown/json	Output format

Example:

# Security audit of API endpoints
python .claude/skills/querying-gemini/scripts/gemini_analyze.py \
  --target "app/api/" \
  --focus-areas "security" \
  --analysis-type deep

# Quick quality check before merge
python .claude/skills/querying-gemini/scripts/gemini_analyze.py \
  --target "app/services/new_feature.py" \
  --analysis-type quick

gemini_code.py

High-quality code generation with best practices.

Usage:

python .claude/skills/querying-gemini/scripts/gemini_code.py \
  --request "Implement a rate limiter using token bucket algorithm" \
  --language python \
  --context "FastAPI application with async support" \
  --thinking-level high \
  --timeout 300 \
  --output-format markdown

Arguments:

Argument	Required	Default	Values	Description
--request	Yes	-	string	Description of code to generate
--language	No	-	string	Target programming language
--context	No	-	string	Additional context about requirements
--thinking-level	No	high	minimal/low/medium/high	Thinking depth
--timeout	No	300	float	Max wait time in seconds
--output-format	No	markdown	markdown/json	Output format

Example:

# Generate a FastAPI endpoint
python .claude/skills/querying-gemini/scripts/gemini_code.py \
  --request "Create a REST endpoint for user authentication with JWT tokens" \
  --language python \
  --context "FastAPI with Pydantic models, SQLAlchemy ORM"

# Generate a React component
python .claude/skills/querying-gemini/scripts/gemini_code.py \
  --request "Create a responsive data table with sorting and pagination" \
  --language typescript \
  --context "React 18 with Tailwind CSS"

gemini_fix.py

Root-cause bug fixing (NOT monkey patches).

Usage:

python .claude/skills/querying-gemini/scripts/gemini_fix.py \
  --target "app/api/endpoints.py" \
  --issues "TypeError: 'NoneType' object is not subscriptable on line 45 when session expires" \
  --fix-scope root_cause \
  --timeout 600 \
  --output-format markdown

Arguments:

Argument	Required	Default	Values	Description
--target	Yes	-	path	File or directory containing the issue
--issues	Yes	-	string	Detailed problem description (include error messages, stack traces)
--fix-scope	No	root_cause	root_cause/minimal/comprehensive	Fix approach
--timeout	No	600	float	Max wait time in seconds
--output-format	No	markdown	markdown/json	Output format

Example:

# Fix a concurrency bug
python .claude/skills/querying-gemini/scripts/gemini_fix.py \
  --target "app/core/session.py" \
  --issues "Race condition in session cleanup: multiple cleanup tasks running simultaneously causing KeyError"

# Fix with full stack trace
python .claude/skills/querying-gemini/scripts/gemini_fix.py \
  --target "app/services/" \
  --issues "$(cat error.log)" \
  --fix-scope comprehensive

When to Use

Use this skill for tasks requiring fast, intelligent analysis:

Code Analysis

• Pre-merge code reviews
• Architecture audits across multiple files
• Security vulnerability scanning
• Performance bottleneck identification
• Technical debt assessment

Code Generation

• Generate boilerplate with best practices
• Create API endpoints and handlers
• Build UI components
• Implement algorithms and data structures

Root-Cause Debugging

• Complex bugs requiring tracing through call chains
• Race conditions and concurrency issues
• Memory leaks or performance degradation
• Architectural flaws causing repeated issues

Complex Questions

• Algorithm design and optimization
• Framework integration strategies
• Best practices for specific patterns
• Trade-off analysis for technical decisions

When NOT to Use

Avoid this skill for:

• Simple queries - Use Claude directly for straightforward questions
• Real-time streaming - Gemini 3 Flash doesn't stream in this skill
• Tasks requiring MCP tools - Use standard Claude Code capabilities
• Quick fixes - For obvious typos or simple bugs, direct editing is faster

Limitations

File Size Constraints

• 500KB maximum per file
• 2MB total for all files in analysis
• Files exceeding limits are automatically excluded

Security Restrictions

• System directories blocked: /etc, /usr, /bin, /sbin, /var, /root
• .env files automatically excluded (prevents secret exposure)
• Path traversal attacks prevented

Output Constraints

• Output truncated at 100,000 characters
• JSON output available for programmatic parsing
• Markdown output optimized for human readability

Environment Setup

Requires a Google API key:

# Option 1: GEMINI_API_KEY
export GEMINI_API_KEY=your-api-key

# Option 2: GOOGLE_API_KEY
export GOOGLE_API_KEY=your-api-key

# Or add to .env file
echo "GEMINI_API_KEY=your-api-key" >> .env

Get an API key from Google AI Studio.

See Also

• @CAPABILITIES.md - Gemini 3 Flash model specifications, thinking levels, file limits
• @PROMPTS.md - System prompt documentation with P0-P3 dimension descriptions