mcpbeat Sign in

Camera Streaming Agent Skill

Stream, video frames, photo capture, resolution/frame rate configuration

952 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
500
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/facebook/meta-wearables-dat-ios --skill camera-streaming

The instruction itself

12 sections, as written by the author

Camera Streaming (iOS)

Guide for implementing camera streaming and photo capture with the DAT SDK.

Key concepts

  • Stream: Main interface for camera streaming
  • VideoFrame: Individual video frames — call .makeUIImage() to render
  • StreamConfiguration: Configure resolution, frame rate, and codec
  • PhotoData: Still image captured from glasses

Creating a DeviceSession

import MWDATCamera
import MWDATCore

let wearables = Wearables.shared
let deviceSelector = AutoDeviceSelector(wearables: wearables)
// Or for a specific device: SpecificDeviceSelector(device: deviceId)
let deviceSession = try wearables.createSession(deviceSelector: deviceSelector)
try deviceSession.start()

// Wait for the device session to reach the started state
for await state in deviceSession.stateStream() {
    if state == .started { break }
}

Adding a Camera

Once the DeviceSession is started, add a Camera capability and get its stream:

let config = StreamConfiguration(
    videoCodec: .raw,
    resolution: .medium,  // 504x896
    frameRate: 24
)

guard let camera = try deviceSession.addCamera(config: config) else {
    // DeviceSession must be in the started state before adding a camera
    return
}
let stream = camera.stream

Resolution options

| Resolution | Size |

|-----------|------|

| .high | 720 x 1280 |

| .medium | 504 x 896 |

| .low | 360 x 640 |

Frame rate options

Valid values: 2, 7, 15, 24, 30 FPS.

Lower resolution and frame rate yield higher visual quality due to less Bluetooth compression.

Observing stream state

StreamState transitions: stoppingstoppedwaitingForDevicestartingstreamingpaused

let stateToken = stream.statePublisher.listen { state in
    Task { @MainActor in
        switch state {
        case .streaming:
            // Stream is active, frames are flowing
        case .waitingForDevice:
            // Waiting for glasses to connect
        case .stopped:
            // Stream ended — release resources
        case .paused:
            // Temporarily suspended — keep connection, wait
        default:
            break
        }
    }
}

Receiving video frames

let frameToken = stream.videoFramePublisher.listen { frame in
    guard let image = frame.makeUIImage() else { return }
    Task { @MainActor in
        self.previewImage = image
    }
}

Starting and stopping

// Start the stream capability
stream.start()

// Stop the camera (teardown cascades to the stream)
camera.stop()

// Stop the parent device session when you're done with all capabilities
deviceSession.stop()

Photo capture

Capture a still photo while streaming:

// Listen for photo data
let photoToken = stream.photoDataPublisher.listen { photoData in
    let imageData = photoData.data
    // Convert to UIImage or save
}

// Trigger capture
stream.capturePhoto(format: .jpeg)

Bandwidth and quality

Resolution and frame rate are constrained by Bluetooth Classic bandwidth. The SDK automatically reduces quality when bandwidth is limited:

  • First lowers resolution (e.g., High → Medium)
  • Then reduces frame rate (e.g., 30 → 24), never below 15 FPS

Request lower settings for higher visual quality per frame.

Other skills for the same job

different authors, same section of the catalogue
Canvas Design
by anthropics
vendor ×13

Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.

1388k tokens
Algorithmic Art
by anthropics
vendor ×10

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

15k tokens scripts
Image Enhancer
by frostant
×6

Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.

635 tokens
Video Downloader
by CommandCodeAI
×4

Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.

671 tokens
Histolab
by christophacham
×3

Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.

18k tokens
Omero Integration
by christophacham
×3

Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.

32k tokens
Pydicom
by christophacham
×3

Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.

13k tokens scripts
Transformers
by christophacham
×3

This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.

13k tokens

How to use it

Copy the folder

Take facebook/camera-streaming from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.