home / skills / jezweb / claude-skills / gemini-peer-review
/plugins/dev-tools/skills/gemini-peer-review
npx playbooks add skill jezweb/claude-skills --skill gemini-peer-reviewReview the files below or copy the command above to add this skill to your agents.
---
name: gemini-peer-review
description: "Get a second opinion from Gemini on code, architecture, debugging, or security. Uses direct Gemini API calls — no CLI dependencies. Trigger with 'ask gemini', 'gemini review', 'second opinion', 'peer review', or 'consult gemini'."
compatibility: claude-code-only
---
# Gemini Peer Review
Consult Gemini as a coding peer for a second opinion on code quality, architecture decisions, debugging, or security reviews.
## Setup
**API Key**: Set `GEMINI_API_KEY` as an environment variable. Get a key from https://aistudio.google.com/apikey if you don't have one.
```bash
export GEMINI_API_KEY="your-key-here"
```
## Workflow
1. **Determine mode** from user request (review, architect, debug, security, quick)
2. **Read target files** into context
3. **Build prompt** using the AI-to-AI template from [references/prompt-templates.md](references/prompt-templates.md)
4. **Write prompt to file** at `.claude/artifacts/gemini-prompt.txt` (avoids shell escaping issues)
5. **Call the API** via the review script:
```bash
mkdir -p .claude/artifacts
# Write prompt to file first (step 4), then:
GEMINI_API_KEY="$KEY" python3 plugins/dev-tools/skills/gemini-peer-review/scripts/gemini-review.py \
--model gemini-2.5-flash \
--prompt-file .claude/artifacts/gemini-prompt.txt
```
6. **Synthesize** — present Gemini's findings, add your own perspective (agree/disagree), let the user decide what to implement
## Modes
### Code Review
Review specific files for bugs, logic errors, security vulnerabilities, performance issues, and best practice violations.
Read the target files, build a prompt using the Code Review template, call with `gemini-2.5-flash`.
### Architecture Advice
Get feedback on design decisions with trade-off analysis. Include project context (CLAUDE.md, relevant source files).
Read project context, build a prompt using the Architecture template, call with `gemini-2.5-pro`.
### Debugging Help
Analyse errors when stuck after 2+ failed fix attempts. Gemini sees the code fresh without your debugging context bias.
Read the problematic files, build a prompt using the Debug template (include error message and previous attempts), call with `gemini-2.5-flash`.
### Security Scan
Scan code for security vulnerabilities (injection, auth bypass, data exposure).
Read the target directory's source files, build a prompt using the Security template, call with `gemini-2.5-pro`.
### Quick Question
Fast question without file context. Build prompt inline and call with `gemini-2.5-flash`.
```bash
GEMINI_API_KEY="$KEY" python3 plugins/dev-tools/skills/gemini-peer-review/scripts/gemini-review.py \
--model gemini-2.5-flash \
--prompt "[Claude Code consulting Gemini] Quick question: What's the best way to handle WebSockets in Workers?"
```
## Model Selection
| Mode | Model | Why |
|------|-------|-----|
| review, debug, quick | `gemini-2.5-flash` | Fast, good for straightforward analysis |
| architect, security-scan | `gemini-2.5-pro` | Better reasoning for complex trade-offs |
Override by changing the `--model` argument. Check current model IDs if errors occur — they change frequently:
```bash
curl -s "https://generativelanguage.googleapis.com/v1beta/models?key=$GEMINI_API_KEY" | python3 -c "import sys,json; [print(m['name']) for m in json.load(sys.stdin)['models'] if 'gemini' in m['name']]"
```
## When to Use
**Good use cases**:
- Before committing major changes (final review)
- When stuck debugging after multiple attempts
- Architecture decisions with multiple valid options
- Security-sensitive code review
**Avoid using for**:
- Simple syntax checks (Claude handles these faster)
- Every single edit (too slow, unnecessary)
- Questions with obvious answers
## Prompt Construction
**Critical**: Always use the AI-to-AI prompting format. Write the full prompt to a file — never pass code inline via bash arguments (shell escaping will break it).
When building the prompt:
1. Start with the AI-to-AI header from [references/prompt-templates.md](references/prompt-templates.md)
2. Append the mode-specific template
3. Append the file contents with clear `--- filename ---` separators
4. Write to `.claude/artifacts/gemini-prompt.txt`
5. Call the script with `--prompt-file`
## Reference Files
| When | Read |
|------|------|
| Building prompts for any mode | [references/prompt-templates.md](references/prompt-templates.md) |