gemini-research-subagent

Delegates large-context code analysis to Gemini CLI. Use when analyzing codebases, tracing bugs across files, reviewing architecture, or performing security audits. Gemini reads, Claude implements.

242 stars

byaiskillstore

View on GitHub Installation ↓

Best use case

gemini-research-subagent is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Delegates large-context code analysis to Gemini CLI. Use when analyzing codebases, tracing bugs across files, reviewing architecture, or performing security audits. Gemini reads, Claude implements.

Delegates large-context code analysis to Gemini CLI. Use when analyzing codebases, tracing bugs across files, reviewing architecture, or performing security audits. Gemini reads, Claude implements.

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "gemini-research-subagent" skill to help with this workflow task. Context: Delegates large-context code analysis to Gemini CLI. Use when analyzing codebases, tracing bugs across files, reviewing architecture, or performing security audits. Gemini reads, Claude implements.

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
Use it when you already have the supporting tools or dependencies needed by the workflow.

When not to use this skill

Do not use this when you only need a one-off answer and do not need a reusable workflow.
Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/gemini-research-subagent/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/dasblueyeddevil/gemini-research-subagent/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/gemini-research-subagent/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How gemini-research-subagent Compares

Feature / Agent	gemini-research-subagent	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Delegates large-context code analysis to Gemini CLI. Use when analyzing codebases, tracing bugs across files, reviewing architecture, or performing security audits. Gemini reads, Claude implements.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

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SKILL.md Source

# Gemini Research Subagent

You have access to Gemini CLI as a large-context research assistant. **Use Gemini for reading large codebases, use yourself for implementation.**

## When to Invoke Gemini

**ALWAYS use Gemini BEFORE:**
- Reading files >100 lines
- Understanding unfamiliar code areas
- Tracing bugs across multiple files
- Making changes that affect multiple components
- Performing security or architecture reviews

**DO NOT use Gemini for:**
- Simple single-file edits you can handle
- Writing code (that's your job)
- Files you've already analyzed this session

## How to Invoke

```bash
./skills/gemini.agent.wrapper.sh -d "@src/" "Your research question"
```

## Available Roles (loaded from `.gemini/roles/`)
| Role | Command | Use Case |
|------|---------|----------|
| `reviewer` | `-r reviewer` | Code quality, bugs, security |
| `debugger` | `-r debugger` | Bug tracing, root cause analysis |
| `planner` | `-r planner` | Architecture, implementation planning |
| `security` | `-r security` | Security vulnerabilities audit |
| `auditor` | `-r auditor` | Codebase-wide analysis |
| `explainer` | `-r explainer` | Code explanation |
| `migrator` | `-r migrator` | Migration planning |
| `documenter` | `-r documenter` | Documentation generation |
| `dependency-mapper` | `-r dependency-mapper` | Dependency analysis |
| `onboarder` | `-r onboarder` | Onboarding guide |

### Custom Roles
Add custom roles in `.gemini/roles/<name>.md`. Examples:
| Role | Focus |
|------|-------|
| `kotlin-expert` | Kotlin/Android, coroutines |
| `typescript-expert` | TypeScript type safety |
| `python-expert` | Python async, type hints |
| `api-designer` | REST API design |
| `database-expert` | Query optimization |

## Templates

```bash
# Implementation-ready output
./skills/gemini.agent.wrapper.sh -t implement-ready -d "@src/" "Add user profiles"

# Fix-ready output for bugs
./skills/gemini.agent.wrapper.sh -t fix-ready "Login fails with 401"

# Post-implementation verification
./skills/gemini.agent.wrapper.sh -t verify --diff "Added password reset"
```

## Response Format

Gemini returns structured output you can parse:

```
## SUMMARY
[1-2 sentence overview]

## FILES
[file:line references]

## ANALYSIS
[detailed findings]

## RECOMMENDATIONS
[actionable items]
```

## Workflow Pattern

1. **Research**: Invoke Gemini to understand context
2. **Implement**: You write code based on Gemini's analysis
3. **Verify**: Invoke Gemini to verify your changes

## Example Usage

```bash
# Pre-implementation research
./skills/gemini.agent.wrapper.sh -r planner -d "@src/" "How should I add caching?"

# Post-implementation verification
./skills/gemini.agent.wrapper.sh -t verify --diff "Added caching layer"
```

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