Back to directory

agent-vision-toolkit

A vision toolkit and skill that gives a text-only coding agent, such as one running DeepSeek, image Q&A, long-screenshot OCR, frontend UI restoration and GUI automation.

agent-vision-toolkit

agent-vision-toolkit gives a text-only large language model the ability to work with images. It provides a set of vision-tool command-line programs, plus a skill file that teaches an agent when to use each one, so any agent that can invoke a shell can call them for image question answering, long-screenshot OCR, restoring a frontend UI from a screenshot, and GUI automation.

An optional integration layer adds a transparent local proxy and single-file native plugins so pasted images and an agent's own built-in image tools both work without extra tool installation or prompting. The project reports that it has been verified end to end in Codex with DeepSeek, and in Claude Code, Pi, Oh My Pi and OpenCode.

It is written in Python and released under the MIT license.

More in Agent skills

See all 581
  • Provenance gate

    github.com

    A deterministic authorization gateway that sits between an AI agent and its tools, tracing where each parameter of a side-effect call came from, and blocking the call or asking a human when the source does not check out.

  • A markdown framework of system rules that restates Isaac Asimov's Four Laws of Robotics as a set of prioritized loss calculations for large-language-model agents to follow, published as a discovery file for agents and crawlers to read.

  • Vitruvius

    github.com

    An engineering research agent that runs a discover, read, synthesize, verify and review loop over technical questions, reading sources directly rather than inferring from titles, and publishing its own scored verifier benchmark, weaknesses included.