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.
npx skills add majiayu000/claude-skill-registry --skill costiash-cognivagent-claude-skills-querying-gemini --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 ### ge
- Quick Reference
- Scripts
- geminiquery.py
- geminianalyze.py
- geminicode.py
- geminifix.py
- When to Use
- Code Analysis
- Code Generation
- Root-Cause Debugging
- Complex Questions
- When NOT to Use
- Limitations
- File Size Constraints
python .claude/skills/querying-gemini/scripts/gemini_query.py \ Ask about Python async patterns Complex algorithm design python .claude/skills/querying-gemini/scripts/gemini_analyze.py \ Security audit of API endpoints Quick quality check before merge python .claude/skills/querying-gemini/scripts/gemini_code.py \ Generate a FastAPI endpoint Generate a React component python .claude/skills/querying-gemini/scripts/gemini_fix.py \
What does the querying-gemini skill do?
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.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill costiash-cognivagent-claude-skills-querying-gemini --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.