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Skill2.6k repo starsupdated 7mo ago

gemini

The Gemini skill invokes Google's Gemini CLI for comprehensive code reviews, architectural plan analysis, and processing large contexts exceeding 200k tokens across multiple files. Use this skill when users request code or plan reviews, need extensive codebase analysis, or require advanced reasoning capabilities beyond standard processing limits, selecting from available models like Gemini 3 Pro for optimal coding performance or Gemini 3 Flash for speed-critical tasks.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/softaworks/agent-toolkit /tmp/gemini && cp -r /tmp/gemini/skills/gemini ~/.claude/skills/gemini
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# Gemini Skill Guide

## When to Use Gemini
- WHEN ASKED TO BE ACTIVATED
- **Code Review**: Comprehensive code reviews across multiple files
- **Plan Review**: Analyzing architectural plans, technical specifications, or project roadmaps
- **Big Context Processing**: Tasks requiring >200k tokens of context (entire codebases, documentation sets)
- **Multi-file Analysis**: Understanding relationships and patterns across many files

## ⚠️ Critical: Background/Non-Interactive Mode Warning

**NEVER use `--approval-mode default` in background or non-interactive shells** (like Claude Code tool calls). It will hang indefinitely waiting for approval prompts that cannot be provided.

**For automated/background reviews:**
- ✅ Use `--approval-mode yolo` for fully automated execution
- ✅ OR wrap with timeout: `timeout 300 gemini ...`
- ❌ NEVER use `--approval-mode default` without interactive terminal

**Symptoms of hung Gemini:**
- Process running 20+ minutes with 0% CPU usage
- No network activity
- Process state shows 'S' (sleeping)

**Fix hung process:**
```bash
# Check if hung
ps aux | grep gemini | grep -v grep

# Kill if necessary
pkill -9 -f "gemini.*gemini-3-pro-preview"
```

## Running a Task

1. Ask the user (via `AskUserQuestion`) which model to use in a **single prompt**. Available models:
   - `gemini-3-pro-preview` ⭐ (flagship model, best for coding & complex reasoning, 35% better at software engineering than 2.5 Pro)
   - `gemini-3-flash` (sub-second latency, distilled from 3 Pro, best for speed-critical tasks)
   - `gemini-2.5-pro` (legacy option, strong all-around performance)
   - `gemini-2.5-flash` (legacy option, cost-efficient with thinking capabilities)
   - `gemini-2.5-flash-lite` (legacy option, fastest processing)

2. Select the approval mode based on the task:
   - `default`: Prompt for approval (⚠️ ONLY for interactive terminal sessions)
   - `auto_edit`: Auto-approve edit tools only (for code reviews with suggestions)
   - `yolo`: Auto-approve all tools (✅ REQUIRED for background/automated tasks)

3. Assemble the command with appropriate options:
   - `-m, --model <MODEL>` - Model selection
   - `--approval-mode <default|auto_edit|yolo>` - Control tool approval
   - `-y, --yolo` - Alternative to `--approval-mode yolo`
   - `-i, --prompt-interactive "prompt"` - Execute prompt and continue interactively
   - `--include-directories <DIR>` - Additional directories to include in workspace
   - `-s, --sandbox` - Run in sandbox mode for isolation

4. **For background/automated tasks, ALWAYS use `--approval-mode yolo`** or add timeout wrapper. NEVER use `default` in non-interactive shells.

5. Run the command and capture the output. For background/automated mode:
   ```bash
   # Recommended: Use yolo for background tasks
   gemini -m gemini-3-pro-preview --approval-mode yolo "Review this codebase for security issues"

   # Or with timeout (5 min limit)
   timeout 300 gemini -m gemini-3-pro-preview --approval-mode yolo "Review this codebase"
   ```

6. For interactive sessions with an initial prompt:
   ```bash
   gemini -m gemini-3-pro-preview -i "Review the authentication system" --approval-mode auto_edit
   ```

7. **After Gemini completes**, inform the user: "The Gemini analysis is complete. You can start a new Gemini session for follow-up analysis or continue exploring the findings."

### Quick Reference

| Use case | Approval mode | Key flags |
| --- | --- | --- |
| Background code review | `yolo` ✅ | `-m gemini-3-pro-preview --approval-mode yolo` |
| Background analysis | `yolo` ✅ | `-m gemini-3-pro-preview --approval-mode yolo` |
| Background with timeout | `yolo` ✅ | `timeout 300 gemini -m gemini-3-pro-preview --approval-mode yolo` |
| Interactive code review | `default` | `-m gemini-3-pro-preview --approval-mode default` (interactive terminal only) |
| Code review with auto-edits | `auto_edit` | `-m gemini-3-pro-preview --approval-mode auto_edit` |
| Automated refactoring | `yolo` | `-m gemini-3-pro-preview --approval-mode yolo` |
| Speed-critical background | `yolo` ✅ | `-m gemini-3-flash --approval-mode yolo` |
| Cost-optimized background | `yolo` ✅ | `-m gemini-2.5-flash --approval-mode yolo` |
| Multi-directory analysis | `yolo` (if background) | `--include-directories <DIR1> --include-directories <DIR2>` |
| Interactive with prompt | `auto_edit` or `default` | `-i "prompt" --approval-mode <mode>` |

### Model Selection Guide

| Model | Best for | Context window | Key features |
| --- | --- | --- | --- |
| `gemini-3-pro-preview` ⭐ | **Flagship model**: Complex reasoning, coding, agentic tasks | 1M input / 64k output | Vibe coding, 76.2% SWE-bench, $2-4/M input |
| `gemini-3-flash` | Sub-second latency, speed-critical applications | 1M input / 64k output | Distilled from 3 Pro, TPU-optimized |
| `gemini-2.5-pro` | Legacy: Strong all-around performance | 1M input / 65k output | Thinking mode, mature stability |
| `gemini-2.5-flash` | Legacy: Cost-efficient, high-volume tasks | 1M input / 65k output | Best price ($0.15/M), thinking mode |
| `gemini-2.5-flash-lite` | Legacy: Fastest processing, high throughput | 1M input / 65k output | Maximum speed, minimal latency |

**Gemini 3 Advantages**: 35% higher accuracy in software engineering, state-of-the-art on SWE-bench (76.2%), GPQA Diamond (91.9%), and WebDev Arena (1487 Elo). Knowledge cutoff: January 2025.

**Coming Soon**: `gemini-3-deep-think` for ultra-complex reasoning with enhanced thinking capabilities.

## Common Use Cases

### Code Review (Background/Automated)
```bash
# For background execution (Claude Code, CI/CD, etc.)
gemini -m gemini-3-pro-preview --approval-mode yolo \
  "Perform a comprehensive code review focusing on:
   1. Security vulnerabilities
   2. Performance issues
   3. Code quality and maintainability
   4. Best practices violations"

# With timeout safety (5 minutes)
timeout 300 gemini -m gemini-3-pro-preview --approval-mode yolo \
  "Perform a comprehensive code review..."
```

### Plan Revie
agent-md-refactorSkill

Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.

ascii-ui-mockup-generatorSubagent

Use this agent when you need to visualize UI concepts through ASCII mockups before implementation. Examples: <example>Context: User has an idea for a dashboard layout with data tables and charts. user: 'I want to create a dashboard that shows user analytics with a sidebar navigation, main content area with charts, and a data table below' assistant: 'I'll use the ascii-ui-mockup-generator agent to create multiple ASCII mockup variations for your dashboard concept.' <commentary>The user wants to visualize a UI concept, so use the ascii-ui-mockup-generator to create multiple ASCII representations they can choose from.</commentary></example> <example>Context: User is designing a form layout with multiple input fields. user: 'I need a contact form with name, email, message fields and a submit button' assistant: 'Let me use the ascii-ui-mockup-generator to create several ASCII mockup options for your contact form layout.' <commentary>Since the user needs to visualize form layouts, use the ascii-ui-mockup-generator to provide multiple ASCII design options.</commentary></example>

backend-to-frontend-handoff-docsSkill

Create API handoff documentation for frontend developers. Use when backend work is complete and needs to be documented for frontend integration, or user says 'create handoff', 'document API', 'frontend handoff', or 'API documentation'.

c4-architectureSkill

Generate architecture documentation using C4 model Mermaid diagrams. Use when asked to create architecture diagrams, document system architecture, visualize software structure, create C4 diagrams, or generate context/container/component/deployment diagrams. Triggers include "architecture diagram", "C4 diagram", "system context", "container diagram", "component diagram", "deployment diagram", "document architecture", "visualize architecture".

codebase-pattern-finderSubagent

codebase-pattern-finder is a useful subagent_type for finding similar implementations, usage examples, or existing patterns that can be modeled after. It will give you concrete code examples based on what you're looking for! It's sorta like codebase-locator, but it will not only tell you the location of files, it will also give you code details!

codexSkill

Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.

codex-planSlash Command

Create a detailed implementation plan using Codex 5.2 with high reasoning

command-creatorSkill

This skill should be used when creating a Claude Code slash command. Use when users ask to "create a command", "make a slash command", "add a command", or want to document a workflow as a reusable command. Essential for creating optimized, agent-executable slash commands with proper structure and best practices.