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Screenshot Skill

Capture screenshots on Windows using mss and Pillow. Provides full-screen, region, and multi-monitor capture with output as PIL Image, PNG file, or base64 st...

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Capture screenshots on Windows using mss and Pillow. Provides full-screen, region, and multi-monitor capture with output as PIL Image, PNG file, or base64 st...

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: reference.md, SKILL.md, scripts/screenshot.py

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

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New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

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Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.1

Provenance

Publisher: sunrddd-a11y
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 9 sections Open source page

Screenshot Capture

基于 mss + Pillow 的高性能屏幕截图工具，适用于 Windows 桌面自动化、AI 视觉分析等场景。

依赖

uv add mss pillow # 或 pip install mss pillow

作为 Python 模块使用

from scripts.screenshot import ScreenCapture with ScreenCapture() as sc: # 获取屏幕分辨率 width, height = sc.screen_size # 全屏截图 → PIL Image img = sc.capture() # 截图保存为文件 sc.capture_to_file("output.png") # 截图转 base64 (用于发送给视觉 API) b64 = sc.capture_to_base64(quality=85, fmt="JPEG")

作为 CLI 工具使用

# 查看显示器信息 python scripts/screenshot.py info # 截图保存到文件 python scripts/screenshot.py capture -o my_screenshot.png # 截图输出 base64 python scripts/screenshot.py base64 --format JPEG --quality 85

核心 API

方法说明返回值screen_size主显示器 (宽, 高)tuple[int, int]all_screen_size虚拟全屏 (宽, 高)，多屏合并tuple[int, int]monitors所有显示器详细信息list[dict]capture(monitor, region, delay)截图 → PIL ImageImage.Imagecapture_to_file(filepath, ...)截图 → PNG/JPG 文件Pathcapture_to_base64(quality, fmt, ...)截图 → base64 字符串str

发送截图给 OpenAI 视觉 API

from openai import OpenAI from scripts.screenshot import ScreenCapture client = OpenAI() with ScreenCapture() as sc: b64 = sc.capture_to_base64(fmt="JPEG", quality=85) resp = client.chat.completions.create( model="gpt-4o", messages=[{ "role": "user", "content": [ {"type": "text", "text": "描述截图内容"}, {"type": "image_url", "image_url": { "url": f"data:image/jpeg;base64,{b64}", "detail": "high", }}, ], }], )

截取指定区域

with ScreenCapture() as sc: region = {"left": 100, "top": 200, "width": 800, "height": 600} img = sc.capture(region=region) img.save("region.png")

自动保存每步截图

with ScreenCapture(save_dir="screenshots") as sc: for i in range(5): sc.capture_to_base64(step=i) # 自动保存为 screenshots/step_000.jpg 等

详细参考

完整 API 参数说明见 reference.md。

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

2 Docs1 Scripts

SKILL.md Primary doc
reference.md Docs
scripts/screenshot.py Scripts