来源信息
- 仓库
- natolambert/rlhf-book
- 最近来源活动
- 2026年2月16日 21:33
- 检测到的 SKILL.md 语言
- 英语
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安装方式
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
检查来源文件
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
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SKILL.md
来源说明 · 只读预览- name
- gemini-feedback
- description
- Get feedback from Gemini API on a diagram image for textbook quality review.
- allowed-tools
- Bash(uv run python:*), Read
# 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"
```
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