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Capso Screenshot Macos

Organization
reason-machines
capso-screenshot-macos

Expert skill for Capso, the open-source macOS screenshot and screen recording app built with Swift 6 and SwiftUI — covers architecture, building from source, package APIs, and contributing.

Overview

Publisherreason-machines
Repositorytrending-skills
Skill namecapso-screenshot-macos
Stars
89
Forks
16
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by reason-machines on GitHub. Read the source before you install it.

Installation

Install the Capso Screenshot Macos AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/reason-machines/trending-skills/tree/main/skills/capso-screenshot-macos
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/reason-machines/trending-skills.git /tmp/trending-skills
mkdir -p .claude/skills
cp -r /tmp/trending-skills/skills/capso-screenshot-macos .claude/skills/capso-screenshot-macos
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Capso Screenshot Macos in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Capso Screenshot Macos on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Capso Screenshot Macos is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Capso Screenshot & Screen Recording Skill

Skill by ara.so — Daily 2026 Skills collection.

Capso is a fully native, open-source macOS screenshot and screen recording app — a free alternative to CleanShot X. Built with Swift 6.0 and SwiftUI targeting macOS 15.0+. Its key strength for developers is a modular SPM architecture: 8 independent packages (CaptureKit, AnnotationKit, OCRKit, etc.) you can embed individually in your own app.


Installation

Download Pre-built App

bash
# Homebrew (recommended)
brew tap lzhgus/tap
brew install --cask capso

Or download the signed DMG from GitHub Releases.

Build from Source

Requirements: Xcode 16+, macOS 15.0+, XcodeGen

bash
brew install xcodegen

git clone https://github.com/lzhgus/Capso.git
cd Capso
xcodegen generate
open Capso.xcodeproj
# Press Cmd+R to build and run

CLI build:

bash
xcodegen generate
xcodebuild -project Capso.xcodeproj \
  -scheme Capso \
  -configuration Release \
  build

Project Architecture

Capso/
├── App/                     # Thin SwiftUI + AppKit shell
│   ├── CapsoApp.swift       # @main entry point
│   ├── MenuBar/
│   ├── Capture/
│   ├── Recording/
│   ├── Camera/
│   ├── AnnotationEditor/
│   ├── OCR/
│   ├── QuickAccess/
│   └── Preferences/
├── Packages/
│   ├── SharedKit/           # Settings, permissions, utilities
│   ├── CaptureKit/          # ScreenCaptureKit wrapper
│   ├── RecordingKit/        # Screen recording engine
│   ├── CameraKit/           # AVFoundation webcam capture
│   ├── AnnotationKit/       # Drawing/annotation system
│   ├── OCRKit/              # Vision framework OCR
│   ├── ExportKit/           # Video/GIF/image export
│   └── EffectsKit/          # Cursor effects, click highlights
└── project.yml              # XcodeGen project definition

The app shell is intentionally thin — all logic lives in packages. This means you can pull individual packages into your own app via SPM.


Using Capso Packages in Your Own App

Add a package as a local or remote SPM dependency in your Package.swift:

swift
// Package.swift
let package = Package(
    name: "MyApp",
    platforms: [.macOS(.v15)],
    dependencies: [
        // Remote (once published to a registry or via exact path)
        .package(path: "../Capso/Packages/CaptureKit"),
        .package(path: "../Capso/Packages/AnnotationKit"),
        .package(path: "../Capso/Packages/OCRKit"),
    ],
    targets: [
        .target(
            name: "MyApp",
            dependencies: [
                "CaptureKit",
                "AnnotationKit",
                "OCRKit",
            ]
        ),
    ]
)

Package API Examples

CaptureKit — Screen Capture

CaptureKit wraps ScreenCaptureKit for area, fullscreen, and window capture.

swift
import CaptureKit

// Area capture
let captureManager = CaptureManager()

// Fullscreen capture
Task {
    let image: NSImage = try await captureManager.captureFullscreen()
    // use image
}

// Window capture — pass SCWindow from ScreenCaptureKit
Task {
    let content = try await SCShareableContent.excludingDesktopWindows(false, onScreenWindowsOnly: true)
    if let window = content.windows.first {
        let image: NSImage = try await captureManager.captureWindow(window)
    }
}

// Area capture with a selection rect
Task {
    let rect = CGRect(x: 100, y: 100, width: 800, height: 600)
    let image: NSImage = try await captureManager.captureArea(rect)
}

RecordingKit — Screen Recording

swift
import RecordingKit

let recorder = ScreenRecorder()

// Configure recording
var config = RecordingConfiguration()
config.includesSystemAudio = true
config.includesMicrophone = false
config.outputFormat = .mp4   // or .gif
config.quality = .maximum    // .social, .web

// Start recording a region
Task {
    let outputURL = URL(fileURLWithPath: "/tmp/recording.mp4")
    try await recorder.startRecording(
        region: CGRect(x: 0, y: 0, width: 1920, height: 1080),
        to: outputURL,
        configuration: config
    )
}

// Pause / resume
recorder.pause()
recorder.resume()

// Stop and get final URL
Task {
    let finalURL = try await recorder.stopRecording()
    print("Saved to \(finalURL)")
}

CameraKit — Webcam PiP

swift
import CameraKit

let cameraManager = CameraManager()

// Request permission and start preview
Task {
    let granted = await cameraManager.requestPermission()
    guard granted else { return }
    
    // Get AVCaptureVideoPreviewLayer for embedding in a view
    let previewLayer = try await cameraManager.startCapture()
    
    // Set PiP shape
    cameraManager.pipShape = .circle      // .circle, .square, .portrait, .landscape
}

// Stop capture
cameraManager.stopCapture()

AnnotationKit — Drawing & Annotation

swift
import AnnotationKit

// Create an annotation canvas over an NSImage
let sourceImage = NSImage(named: "screenshot")!
let canvas = AnnotationCanvas(image: sourceImage)

// Add annotations programmatically
let arrow = ArrowAnnotation(
    from: CGPoint(x: 50, y: 50),
    to: CGPoint(x: 200, y: 200),
    color: .red,
    strokeWidth: 3
)
canvas.addAnnotation(arrow)

let rect = RectangleAnnotation(
    frame: CGRect(x: 100, y: 100, width: 300, height: 150),
    color: .blue,
    strokeWidth: 2,
    filled: false
)
canvas.addAnnotation(rect)

let text = TextAnnotation(
    text: "Look here!",
    position: CGPoint(x: 110, y: 110),
    fontSize: 18,
    color: .white
)
canvas.addAnnotation(text)

// Undo / redo
canvas.undo()
canvas.redo()

// Export annotated image
let result: NSImage = canvas.renderToImage()

Screenshot Beautification (AnnotationKit)

swift
import AnnotationKit

let beautifier = ScreenshotBeautifier(image: rawImage)
beautifier.backgroundColor = .systemBlue   // or gradient/custom
beautifier.padding = 40
beautifier.cornerRadius = 12
beautifier.shadowRadius = 20
beautifier.shadowOpacity = 0.4

let beautified: NSImage = beautifier.render()

OCRKit — Text Recognition

swift
import OCRKit

let ocrEngine = OCREngine()

// Instant OCR on an NSImage — returns plain text
Task {
    let text: String = try await ocrEngine.recognizeText(in: image)
    print(text)
    // Copy to clipboard
    NSPasteboard.general.clearContents()
    NSPasteboard.general.setString(text, forType: .string)
}

// Visual OCR — returns bounding boxes + text for each block
Task {
    let blocks: [OCRTextBlock] = try await ocrEngine.recognizeBlocks(in: image)
    for block in blocks {
        print("Text: \(block.text), Bounds: \(block.boundingBox)")
    }
}

ExportKit — Video & GIF Export

swift
import ExportKit

let exporter = MediaExporter()

// Export recorded video with quality preset
Task {
    let inputURL = URL(fileURLWithPath: "/tmp/raw_recording.mp4")
    let outputURL = URL(fileURLWithPath: "/tmp/final.mp4")
    
    try await exporter.exportVideo(
        from: inputURL,
        to: outputURL,
        quality: .social   // .maximum, .social, .web
    )
}

// Export as GIF
Task {
    let inputURL = URL(fileURLWithPath: "/tmp/raw_recording.mp4")
    let outputURL = URL(fileURLWithPath: "/tmp/output.gif")
    
    try await exporter.exportGIF(
        from: inputURL,
        to: outputURL,
        fps: 15,
        scale: 0.75
    )
}

SharedKit — Permissions & Settings

swift
import SharedKit

// Check and request screen recording permission
let permissionManager = PermissionManager()

Task {
    let hasScreen = await permissionManager.requestScreenRecordingPermission()
    let hasCamera = await permissionManager.requestCameraPermission()
    let hasMic = await permissionManager.requestMicrophonePermission()
}

// Access shared app settings
let settings = CapsoSettings.shared
settings.screenshotShortcut = "⌘⇧4"
settings.defaultSaveLocation = URL(fileURLWithPath: "/Users/me/Screenshots")
settings.showCountdownBeforeRecording = true
settings.countdownSeconds = 3

SwiftUI Integration Pattern

Embed a capture button in a SwiftUI view:

swift
import SwiftUI
import CaptureKit
import AnnotationKit

struct ContentView: View {
    @State private var capturedImage: NSImage?
    @State private var showAnnotationEditor = false
    private let captureManager = CaptureManager()

    var body: some View {
        VStack {
            if let img = capturedImage {
                Image(nsImage: img)
                    .resizable()
                    .scaledToFit()
                    .frame(maxWidth: 600)
                
                Button("Annotate") {
                    showAnnotationEditor = true
                }
            }

            Button("Capture Fullscreen") {
                Task {
                    capturedImage = try? await captureManager.captureFullscreen()
                }
            }
        }
        .sheet(isPresented: $showAnnotationEditor) {
            if let img = capturedImage {
                // Hypothetical SwiftUI wrapper around AnnotationCanvas
                AnnotationEditorView(image: img) { annotated in
                    capturedImage = annotated
                    showAnnotationEditor = false
                }
            }
        }
    }
}

Running Package Tests

Each package is independently testable:

bash
swift test --package-path Packages/SharedKit
swift test --package-path Packages/CaptureKit
swift test --package-path Packages/AnnotationKit
swift test --package-path Packages/OCRKit
swift test --package-path Packages/RecordingKit
swift test --package-path Packages/CameraKit
swift test --package-path Packages/ExportKit
swift test --package-path Packages/EffectsKit

Required Entitlements & Info.plist

Your app using Capso packages needs these permissions:

xml
<!-- Info.plist -->
<key>NSScreenCaptureUsageDescription</key>
<string>Required for screenshot and screen recording.</string>

<key>NSCameraUsageDescription</key>
<string>Required for webcam PiP during screen recording.</string>

<key>NSMicrophoneUsageDescription</key>
<string>Required to capture microphone audio during recording.</string>
xml
<!-- App.entitlements -->
<key>com.apple.security.device.camera</key>
<true/>
<key>com.apple.security.device.microphone</key>
<true/>
<!-- Screen capture is runtime-only via TCC, no entitlement needed -->

Common Patterns

Pin Screenshot to Screen (Always-on-Top)

swift
import AppKit

func pinScreenshot(_ image: NSImage) {
    let window = NSPanel(
        contentRect: NSRect(x: 100, y: 100, width: image.size.width, height: image.size.height),
        styleMask: [.nonactivatingPanel, .titled, .closable, .resizable],
        backing: .buffered,
        defer: false
    )
    window.level = .floating           // Always on top
    window.isFloatingPanel = true
    window.hidesOnDeactivate = false
    window.contentView = NSImageView(image: image)
    window.makeKeyAndOrderFront(nil)
}

Global Keyboard Shortcut (via SharedKit pattern)

swift
import Carbon
import AppKit

// Register a global hotkey for area capture
func registerCaptureHotkey() {
    NSEvent.addGlobalMonitorForEvents(matching: .keyDown) { event in
        // Check for ⌘⇧4
        if event.modifierFlags.contains([.command, .shift]),
           event.keyCode == 21 { // keyCode 21 = '4'
            NotificationCenter.default.post(name: .startAreaCapture, object: nil)
        }
    }
}

extension Notification.Name {
    static let startAreaCapture = Notification.Name("startAreaCapture")
}

Troubleshooting

xcodegen generate fails

  • Ensure XcodeGen ≥ 2.40: brew upgrade xcodegen
  • Check project.yml is not modified with invalid YAML syntax
  • Run xcodegen generate --spec project.yml for explicit path

"Screen Recording permission denied" at runtime

  • Go to System Settings → Privacy & Security → Screen Recording and enable Capso
  • For your own app using CaptureKit, you must trigger the permission prompt first via PermissionManager.requestScreenRecordingPermission()

Build errors with Swift 6 concurrency

  • Capso targets Swift 6 strict concurrency. Ensure all closures that touch UI are @MainActor
  • Add @preconcurrency import for ScreenCaptureKit if you see warnings in Xcode 16

GIF export is slow

  • Lower the fps (e.g. fps: 10) and scale (e.g. scale: 0.5) in ExportKit
  • Use .web quality preset for faster encoding

Camera not showing in PiP

  • Verify camera permission is granted in System Settings
  • Call CameraManager.requestPermission() before startCapture()
  • Ensure your entitlement includes com.apple.security.device.camera

License Note

Capso uses Business Source License 1.1:

  • ✅ Personal use, internal company use, forking, modifying
  • ❌ Selling a competing screen-capture product based on this code
  • ✅ Automatically becomes Apache 2.0 in 2029 per release

When embedding packages in your own non-competing app, you are permitted under BSL 1.1.


Key Links

Frequently asked questions

What does the Capso Screenshot Macos AI skill do?

Expert skill for Capso, the open-source macOS screenshot and screen recording app built with Swift 6 and SwiftUI — covers architecture, building from source, package APIs, and contributing.

Why use Capso Screenshot Macos on TypingMind?

Because you install it once and use it with any model. Capso Screenshot Macos is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Capso Screenshot Macos in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/reason-machines/trending-skills/tree/main/skills/capso-screenshot-macos. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Capso Screenshot Macos?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Capso Screenshot Macos?

As many as you like. As long as a model supports skills, you can use Capso Screenshot Macos with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Capso Screenshot Macos AI skill free?

It is published on GitHub by reason-machines. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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