AgentSkillsCN

ask-gemini

当用户提出“向 Gemini 提问”、“获取 Gemini 的意见”、“请 Gemini 审核”、“提升写作风格”、“让内容听起来更自然”、“为文章寻求反馈”、“审阅这份草稿”，或需要就内容、文案、代码或设计征求第二意见时，应使用此技能。支持文本提问以及最多 10 张图片。

SKILL.md
--- frontmatter
name: ask-gemini
description: This skill should be used when the user asks to "ask Gemini", "get Gemini's opinion", "have Gemini review", "improve writing style", "make less AI-sounding", "get feedback on article", "review this draft", or needs a second opinion on content, writing, code, or design. Supports text questions and up to 10 images.
allowed-tools: "Bash(bun:*)"
version: 0.3.0

Ask Gemini

Ask Gemini 3.0 Pro Preview any question - text, writing feedback, code review, or image analysis.

When to Use

Writing & Content:

  • •Article/blog post writing feedback
  • •Making content less AI-sounding, more human
  • •Writing style improvements (Vercel/TanStack style, etc.)
  • •Draft reviews and editing suggestions
  • •Content strategy advice

Design & Visual:

  • •Design review and critique
  • •Spatial layout analysis
  • •UI/UX guidance
  • •Comparing design alternatives (send multiple images)

Code & Technical:

  • •Code review and suggestions
  • •Architecture feedback
  • •Technical writing review

Usage

Run the ask_gemini script:

bash
# Text-only question (writing feedback, code review, any question)
bun run ${SKILL_DIR}/scripts/ask_gemini.ts "Review this article and suggest how to make it less AI-sounding, more like a Vercel or TanStack blog post: [content here]"

# With image(s)
bun run ${SKILL_DIR}/scripts/ask_gemini.ts screenshot.png "Analyze this design"

# Compare multiple images
bun run ${SKILL_DIR}/scripts/ask_gemini.ts v1.png v2.png "Compare these designs"

Where ${SKILL_DIR} is the path to this skill directory (find via: find ~/.claude -name "ask_gemini.ts" -path "*/ask-gemini/*").

Requirements

Image Support

  • •Maximum 10 images per request
  • •Total request size limit: 20 MB
  • •Supports: PNG, JPG, JPEG, GIF, WEBP, BMP

Model

Uses gemini-3-pro-preview - optimized for:

  • •Writing critique and style feedback
  • •Design and spatial awareness
  • •Multi-image comparison
  • •Technical analysis