Summary
This routes image analysis requests to either Zhipu's GLM-4V or Qwen's VL models instead of using local libraries like PIL or pytesseract. You point it at local files, URLs, or even videos, and it handles the API calls and base64 encoding. The thinking mode flag on Zhipu is worth knowing about for complex tasks like object localization where you need better reasoning. It's clearly built for a Chinese-language bot framework (CountBot) but the command structure is straightforward. Zhipu offers a free tier which makes it practical for prototyping, while Qwen apparently handles document parsing better. The multi-image comparison feature is handy for spot-the-difference tasks.
Install to Claude Code
npx -y skills add countbot-ai/countbot --skill image-analysis --agent claude-codeInstalls into .claude/skills of the current project.
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Files
SKILL.md
Select a file.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
