.claude/skills/face-apiRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Build face detection, face landmark detection, face recognition, face expression (emotion) recognition, and age/gender estimation with the face-api.js library (browser or Node.js).
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.claude/skills/face-apiRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/face-apiRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/face-apiRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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clawhub install @openlark/face-apiclawhub inspect @openlark/face-api --version 1.0.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
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sha256:1d23c8201fa92b907cf67fc70020e5034f425d5b7113987e64ba5d237586f1b6references/api-reference.mdreferences/examples.mdreferences/models.mdskill-card.mdSKILL.mdface-api 1.0.0 initial release: - Enables face detection, landmark detection, recognition, emotion, and age/gender estimation using face-api.js with TensorFlow.js in browser or Node.js. - Supports three face detectors (SSD Mobilenet v1, Tiny Face Detector, MTCNN) with guidance for model selection. - Provides a unified, chainable API for detection, landmarks, descriptors, expressions, and age/gender. - Allows drawing results (boxes, landmarks, expressions) to canvas and real-time webcam face tracking. - Includes quick start instructions, core API usage, and notes on common setup gotchas.