Awesome-omni-skill querying-gemini

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.

install

source · Clone the upstream repo

git clone https://github.com/diegosouzapw/awesome-omni-skill

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/development/querying-gemini" ~/.claude/skills/diegosouzapw-awesome-omni-skill-querying-gemini-e92f28 && rm -rf "$T"

manifest: skills/development/querying-gemini/SKILL.md

source content

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.

Awesome-omni-skill querying-gemini

Querying Gemini 3 Flash

Quick Reference

Scripts

gemini_query.py

gemini_analyze.py

gemini_code.py

gemini_fix.py

When to Use

Code Analysis

Code Generation

Root-Cause Debugging

Complex Questions

When NOT to Use

Limitations

File Size Constraints

Security Restrictions

Output Constraints

Environment Setup

See Also