Claude-skill-registry julien-workflow-advice-gemini

Get Gemini CLI's opinion on code, architecture, or implementation. Use when you want a second AI perspective during coding sessions.

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

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

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/julien-workflow-advice-gemini" ~/.claude/skills/majiayu000-claude-skill-registry-julien-workflow-advice-gemini && rm -rf "$T"

manifest: skills/data/julien-workflow-advice-gemini/SKILL.md

Ask Gemini

Get feedback from Google's Gemini CLI on code, architecture decisions, or implementation approaches.

Prerequisites

Observability

First: At the start of execution, display:

🔧 Skill "julien-workflow-advice-gemini" activated

Gemini CLI installed:
```
npm install -g @google/gemini-cli
```
Authenticated: run
```
gemini
```
once to login with Google account
Verify:
```
gemini --version
```

When to Use

Want a second opinion on code quality
Need architectural review
Comparing implementation approaches
Code review before commit

How to Invoke

The user will ask something like:

"ask gemini what it thinks about this code"
"get gemini's opinion on this approach"
"demande à gemini de reviewer ce fichier"

Execution

For file review

gemini "Review this code and provide 3 specific improvements: $(cat <file_path>)"

For architectural questions

gemini "<user's question about architecture or approach>"

For comparing approaches

gemini "Compare these two approaches and recommend which is better: Approach A: <desc> vs Approach B: <desc>"

Output Format

Present Gemini's response clearly to the user. If Gemini suggests improvements, summarize them as actionable items.

Examples

File review

User: "demande à gemini ce qu'il pense du semantic-skill-router.py"

gemini "Review this Python script for a semantic routing system. List 3 improvements for production use: $(cat scripts/semantic-skill-router.py)"

Architecture question

User: "ask gemini if I should use Redis or in-memory cache"

gemini "Compare Redis vs in-memory caching for a CLI tool that routes user prompts. Consider: startup time, complexity, persistence needs."

Troubleshooting

Error	Cause	Fix
`gemini: command not found`	CLI not installed	`npm install -g @google/gemini-cli`
`Authentication required`	Not logged in	Run `gemini` interactively, login with Google
Response timeout	Large file or slow network	Reduce file size or retry
`Rate limit exceeded`	Too many requests	Wait 1 minute, retry

Notes

Gemini has 1M token context window
Default model: Gemini 2.5 Pro
Timeout: allow up to 60s for response
If response is cut off, Gemini may still be processing

Skill Chaining

Input Expected

File path to review, OR
Architecture/design question from user

Output Produced

Format: Markdown feedback from Gemini
Side effects: None (read-only)

Compatible Skills

Can be used alongside
```
julien-workflow-advice-codex
```
for multiple AI opinions
Use after writing code, before commit

Tools Used

```
Bash
```
(usage: run gemini CLI command, timeout 60s)