# Gemini Feedback

> Get feedback from Gemini API on a diagram image for textbook quality review.

- Skill: `natolambert/gemini-feedback` (Agent Skill)
- Install (CLI): `npx skillmds@latest add natolambert/gemini-feedback`
- Raw SKILL.md: https://api.skillmd.com/api/skills/natolambert/gemini-feedback/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Integrations & APIs
- Author: natolambert (https://skillmd.com/u/natolambert)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/natolambert/gemini-feedback

---


# Gemini Feedback

Get feedback from Gemini API on a diagram image.

## Usage

```
/gemini-feedback <path-to-image> [context]
```

## Instructions

When this command is invoked:

1. Read the image file at the provided path
2. Call the Gemini API to get feedback on the diagram
3. Use this Python snippet to call Gemini (uses the newer `google-genai` package):

```python
import base64
import os
from google import genai

client = genai.Client(api_key=os.environ['GEMINI_API_KEY'])

with open('<IMAGE_PATH>', 'rb') as f:
    img_bytes = f.read()

prompt = '''Review this diagram for a textbook. Be concise and specific.

Context: <CONTEXT>

Please provide:
1. Overall assessment (1-2 sentences)
2. Specific issues to fix (be detailed about visual problems like alignment, overlapping, etc.)
3. Suggestions for improvement
'''

response = client.models.generate_content(
    model='gemini-2.5-flash',
    contents=[
        prompt,
        genai.types.Part.from_bytes(data=img_bytes, mime_type='image/png'),
    ],
)
print(response.text)
```

4. Replace `<IMAGE_PATH>` with the actual path provided
5. Replace `<CONTEXT>` with any context provided, or use "Technical diagram for ML/AI textbook"
6. Ensure GEMINI_API_KEY is set in environment
7. Run using: `uv run python -c "..."`
8. Present the feedback to the user

## Example

```
/gemini-feedback diagrams/generated/png/tool_use_generation.png "Diagram showing tool use interleaving in LLM generation"
```