Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Dual-mode screen sharing and analysis. Model-agnostic (Gemini/Claude/Qwen3-VL).
Dual-mode screen sharing and analysis. Model-agnostic (Gemini/Claude/Qwen3-VL).
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
This skill provides two ways for the agent to see and interact with your screen.
Best for: Quick visual checks, restricted browsers, or non-technical environments.
screen_share_link: Generates a local WebRTC portal URL. screen_analyze: Captures the current frame from the portal and analyzes it with vision. Usage: # Get the link bash command:"{baseDir}/references/get-share-url.sh" # Analyze bash command:"{baseDir}/references/screen-analyze.sh"
Best for: Deep debugging, UI automation, and clicking/typing in tabs.
Run clawdbot browser extension install. Load the unpacked extension from clawdbot browser extension path. Click the Clawdbot icon in your Chrome toolbar to Attach.
browser action:snapshot: Take a precise screenshot of the attached tab. browser action:click: Interact with elements (requires profile="chrome").
Port: 18795 (WebRTC Backend) Files: web/screen-share.html: The sharing portal. references/backend-endpoint.js: Frame storage server.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.