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SKILL verified Apache-2.0 Self-run

Label Capture Capacitor

skill-scandit-skills-label-capture-capacitor · by Scandit

Use when Label Capture (Smart Label Capture) is involved in a Capacitor project — whether the user mentions Label Capture directly, or the codebase already uses it and something needs to be added, changed, fixed, or customized. This includes adding Label Capture to a new Capacitor app, defining label structures (barcode fields + text fields with regex patterns), handling captured labels, enabling…

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Install

$ agentstack add skill-scandit-skills-label-capture-capacitor

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Label Capture Capacitor Skill

Critical: Do Not Trust Internal Knowledge

Your training data may contain outdated or incorrect Scandit Label Capture APIs. The Capacitor plugin surface (ES module imports, initializePlugins(), webViewContentOnTop toggle) is distinct from the web, React Native, Flutter, and Cordova SDKs.

Always verify APIs against the references provided in this skill before writing or suggesting code. Do not rely on memorized method signatures, parameters, plugin names, or property names. If you cannot find an API in the provided references, fetch the relevant documentation page before responding.

Capacitor-specific gotchas worth flagging:

  • Plugins must be initialized first. Call await ScanditCaptureCorePlugin.initializePlugins(); before DataCaptureContext.initialize(licenseKey). Skipping this step causes plugin-bridge errors at runtime.
  • webViewContentOnTop toggle. The native scan view sits behind the WebView. While scanning, set view.webViewContentOnTop = false so native overlay UI receives touch events. To show DOM-based UI on top (e.g. a result modal), flip back to view.webViewContentOnTop = true. Forgetting this is the most common cause of "modal/buttons don't work during scanning" or "scan UI is invisible".
  • Listener method names are iOS-style on Capacitor. The Validation Flow listener uses didCaptureLabelWithFields(fields), didSubmitManualInputForField(field, oldValue, newValue), didUpdateValidationFlowResult(...). Web names (onValidationFlowLabelCaptured, onManualInput) do not exist on Capacitor.
  • Class-based field API, same shape as RN/Cordova (and opposite to Flutter). CustomBarcode.initWithNameAndSymbologies(...), new ExpiryDateText(...), field.optional = false, LabelCaptureSettings.settingsFromLabelDefinitions([...], {}). There is no LabelCaptureSettingsBuilder / LabelDefinitionBuilder and no v8.5 factory-function sugar — those are web-only.
  • After installing or upgrading Scandit packages, run npx cap sync (and cd ios/App && pod install for iOS).
  • Camera permission: iOS requires NSCameraUsageDescription in ios/App/App/Info.plist. Android: declared automatically by the plugin; request at runtime via @capacitor/camera or @capgo/permission if minSdkVersion >= 23.

Product Guidance

Apply these rules whenever the user is making a design decision, not just an API question. They reflect how Scandit recommends Label Capture be integrated.

  • Default to the Validation Flow. New integrations should use LabelCaptureValidationFlowOverlay, not LabelCaptureBasicOverlay. Recommend the basic/advanced overlay path only when the customer explicitly needs a live AR overlay or a UI that the Validation Flow's fixed layout cannot produce. See references/validation-flow.md.
  • Validation Flow must be rendered full-screen. Do not place it inside a card, half-sheet, modal slice, or partial-height widget — the layout assumes full-screen height for the field checklist, manual-entry sheet, and keyboard.
  • Prefer pre-made labels first, then pre-made fields, then custom. Try in this order: (1) does a pre-made label definition cover the use case? — LabelDefinition.createVinLabelDefinition(name), LabelDefinition.createPriceCaptureDefinition(name), LabelDefinition.createSevenSegmentDisplayLabelDefinition(name). (2) Can the label be built from pre-made fields? — ExpiryDateText, PackingDateText, DateText, WeightText, UnitPriceText, TotalPriceText, SerialNumberBarcode, PartNumberBarcode, ImeiOneBarcode, ImeiTwoBarcode. (3) Only as a last resort, fall back to CustomText / CustomBarcode.
  • Start from the sample app on greenfield integrations. If the user is starting from scratch, recommend cloning LabelCaptureSimpleSample (link in the References table) and adapting it.
  • Hand off to the data-capture-sdk skill for non-Label-Capture questions. If the user asks about another Scandit product (Barcode Capture, SparkScan, MatrixScan, ID Capture, etc.) or about choosing between products, defer to the data-capture-sdk skill instead of guessing.

Intent Routing

  • Integrating Label Capture from scratch → read references/integration.md. By default, integrate the Validation Flow (the integration guide leads with it).
  • Validation Flow questions ("how do I customize it", "what can we change", "why is it implemented this way", "how do I react to manual edits", "can I change the colors") → read references/validation-flow.md.
  • Visual customization beyond the Validation Flow ("live AR overlay", "draw a tag next to each captured field", "get the camera frame during scanning") → read references/customization.md.
  • Adaptive Recognition Engine / cloud fallback / receipt scanning ("how do I enable ARE", "use cloud recognition", "scan a receipt", "AdaptiveRecognitionMode", "is ARE available in production") → read references/adaptive-recognition.md.
  • Migrating or upgrading an existing Label Capture integration → read references/migration.md.

API Usage Policy

Only use APIs that are explicitly documented in the Scandit references below. Do not invent or guess method signatures, parameters, property names, or imports. If unsure whether an API exists, or if a runtime error occurs, fetch the relevant reference page before responding. Do not tell the user to check the docs themselves. After answering, always include the relevant link.

Never construct or guess documentation URLs. Either follow a hyperlink already present in a fetched page, or fetch the API index and follow the link from there.

Framework variant policy

Examples in this skill use plain JavaScript with ES module imports because that is the default for Capacitor templates and the official LabelCaptureSimpleSample. If the target project uses a framework (React, Vue, Angular, Ionic), keep the Scandit init/setup outside the component tree (e.g. in a small module that exports the singleton context) and call into it from the framework component. Don't introduce a state-management library just for Label Capture.

References

| Topic | Resource | |---|---| | Capacitor integration | Get Started · Sample (LabelCaptureSimpleSample) | | Label Definitions (fields, regex, presets) | Label Definitions | | Advanced topics (Validation Flow customization, adaptive recognition, custom overlays) | Advanced Configurations | | Full API reference | Label Capture API |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.