by GinSing1226 · Codex Skill · ★ 36
Screenshot + percentage grids enabling any multimodal LLM for non-blocking RPA/Computer Use。为任意多模态大模型提供截图+百分比坐标网格,实现无感无阻塞的RPA和电脑使用
| Stars | 36 |
| Forks | 9 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 36.25/100 |
| Last Updated | 2026-05-04 |
| Created | 2026-03-25 |
| Platforms | claude-code, python |
| Est. Tokens | ~1840k |
These tools work well together with ScreenClaw for enhanced workflows:
Explore other popular codex skill tools:
ScreenClaw is Screenshot + percentage grids enabling any multimodal LLM for non-blocking RPA/Computer Use。为任意多模态大模型提供截图+百分比坐标网格,实现无感无阻塞的RPA和电脑使用. It is categorized as a Codex Skill with 36 GitHub stars.
ScreenClaw is primarily written in Python. It covers topics such as agent, claude-code, computer-use.
You can find installation instructions and usage details in the ScreenClaw GitHub repository at github.com/GinSing1226/ScreenClaw. The project has 36 stars and 9 forks, indicating an active community.
ScreenClaw is released under the MIT license, making it free to use and modify according to the license terms.