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🦀 ClawHub

tencentcloud-faceid-analyzedenselandmarks

by @xiaoqiangjava

腾讯云稠密人脸关键点(AnalyzeDenseLandmarks)接口调用技能。当用户需要对人脸图片进行稠密关键点定位时，应使用此技能。可返回人脸框坐标，以及人脸各部位（眼睛、眉毛、嘴巴、鼻子、瞳孔、中轴线、下巴、眼袋、额头）的稠密轮廓关键点坐标。支持图片Base64和图片URL两种输入方式。

Versionv1.0.0

#clawhub

Source

Use this skill with your agent

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Manusinvite

Task-oriented agent. Great for testing AI skills end-to-end.

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OpenClaw

Local-first agent. Install skills via ClawHub CLI.

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Claude Code

Anthropic's coding agent. Paste the prompt or SKILL.md into your session.

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Cursor

AI-powered IDE. Use the smoke-test prompt in Cursor Agent.

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Continue.dev

Open-source AI code assistant. Add SKILL.md as a custom tool.

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Windsurf

Agentic IDE by Codeium. Paste the prompt into Cascade.

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Cline

VS Code extension for autonomous coding with MCP tools.

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Copilot Workspace

GitHub's AI dev environment. Suitable for code-generation skills.

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What to do next

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Install into your agentCopy the ClawHub install command and run it where your OpenClaw/agent environment is configured.

Run a smoke testUse the test prompt below to confirm the skill loads and understands the workflow before relying on it.

Use it in your own agentPaste your actual task into Manus, OpenClaw, Claude Code, Cursor, or another agent that supports skills.

I just installed the tencentcloud-faceid-analyzedenselandmarks skill. Please run a quick smoke test: explain what this skill can do, ask me for the minimum input it needs, then produce one small sample output for a realistic task.