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Found 12 Skills
AI/ML APIs, LLM integration, and intelligent application patterns
Install and manage Elastic security ML integration packages (beaconing, ded, dga, lmd, pad, problemchild). Handles the full lifecycle: pre-flight checks, Fleet package install, component templates, ingest pipelines, transforms, data views, ML anomaly detection jobs, and detection rules. Use when a user asks to install, set up, check the status of, or troubleshoot a security ML integration package.
Add "Open in molab" badge(s) linking to marimo notebooks. Works with READMEs, docs, websites, or any markdown/HTML target.
Google BigQuery for analytics, ML, and data warehousing. Use for large-scale analytics.
Illustrate an article (Markdown, HTML, etc.) with animated-style icons from itshover.com/icons. Fetches icons as clean inline SVG and places them at section headings, key concepts, lists, and callouts. Triggers on: /article-icons, 配图, 给文章配图标, add icons to article, illustrate with icons.
Implement computer vision features including text recognition (OCR), face detection, barcode scanning, image segmentation, object tracking, and document scanning in iOS apps. Covers both the modern Swift-native Vision API (iOS 16+) and legacy VNRequest patterns, VisionKit DataScannerViewController for live camera scanning, and VNCoreMLRequest for custom model inference. Use when adding OCR, barcode scanning, face detection, or custom Core ML model inference with Vision.
Add, integrate, or build Preline UI components and blocks into HTML files via the Preline MCP server. Use when the user mentions "preline", says "/preline", asks to add a UI component, or requests a Preline block (a ready-made page section) using Preline UI.
Integrate and optimize Core ML models in iOS apps for on-device machine learning inference. Covers model loading (.mlmodelc, .mlpackage), predictions with auto-generated classes and MLFeatureProvider, compute unit configuration (CPU, GPU, Neural Engine), MLTensor, VNCoreMLRequest, MLComputePlan, multi-model pipelines, and deployment strategies. Use when loading Core ML models, making predictions, configuring compute units, or profiling model performance.
Agent skill for adaptive-coordinator - invoke with $agent-adaptive-coordinator
Datumbox integration. Manage Organizations, Users, Goals, Filters. Use when the user wants to interact with Datumbox data.
MosaicML integration. Manage data, records, and automate workflows. Use when the user wants to interact with MosaicML data.
Comet ML integration. Manage data, records, and automate workflows. Use when the user wants to interact with Comet ML data.