Skills
97,905 packaged capabilities and playbooks for agents. Install any of them with one command.
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Search kubesearch.dev to research how other homelabs configure Helm charts. Use when: (1) Configuring a new Helm release, (2) Looking for configuration examples, (3) Comparing approaches across repositories, (4) Needing real-world values.yaml patterns, (5) Researching best practices for specific charts, (6) Finding example implementations. Triggers: "how do others configure", "show me examples", "helm chart examples", "configuration examples", "values.yaml examples", "kubesearch", "homelab examples", "how do other homelabs", "real-world config", "chart configuration", "helm values examples", "compare helm configs", "best practices for helm"
Create, read and manage KubeSense service level objectives (SLOs) over the REST API — by_count, time_slice and alert-uptime SLIs, error budgets, burn-rate alerting and grouping — and translate Datadog SLOs into equivalent KubeSense ones. Covers the exact POST /api/slo payload, the good/total query config shape it shares with alert rules, and the traps that make an SLO store cleanly and then evaluate nothing.
Use this skill when the user provides MySQL DDL, CREATE TABLE statements, table structure screenshots, or asks you to fill in Kysely database types, DB interfaces, Insertable / Updateable types, bulk inserts, bulk updates, upsert, or query/modify methods. The focus is accurately converting DDL into this repository's Kysely types and corresponding service methods, avoiding mistakes in ToGenerated, null/default checks, and camelCase/snake_case mapping.
Smart Label Capture (Scandit `LabelCapture`) in Cordova / PhoneGap projects — extracting multiple fields (price, expiry date, serial or lot number, weight) from a label in one scan, using barcode fields plus text fields with regex patterns. Use for integration, label-definition configuration, captured-label handling, the Validation Flow, and SDK version migration.
Writes and rewrites landing pages for products, services, offers, launches, and campaigns. Use when the user asks for landing page copy, hero sections, section-by-section messaging, conversion-focused page structure, CTA rewrites, or page copy tailored to paid traffic, email traffic, or product launches.
Generate complete, deploy-ready landing pages from any repository. Use when creating a homepage for an open-source project, building a project website, converting a README into a marketing page, or standardizing landing pages across multiple repos.
Creates lifecycle marketing campaign flows for SaaS, digital products, and service businesses. Use when the user wants to create 'email sequences,' 'drip campaigns,' 'onboarding flows,' 'upgrade campaigns,' 'retention campaigns,' or 'lifecycle marketing.'
A line editor that reads prose sentence by sentence and shows which lines are weak — filtering, overwriting, flat rhythm, blurred clarity, voice slips — naming the craft principle behind each and pointing at the fix, without ever writing the replacement. It works pattern-first: it surfaces the writer's recurring line-level habits and flags the clearest instances, so they fix the class in their own voice. Use it after the story works, when the prose needs to earn its place line by line. It marks and explains; it never rewrites the author's sentences.
Plan, draft, repurpose, and audit LinkedIn articles and newsletters that demonstrate expertise and support a professional content strategy. Use when writing long-form LinkedIn articles, newsletter editions, article teasers, follow-me articles, issue plans, or post-to-newsletter repurposing.
Automatically turns a single subject concept (Chinese or English, such as "sound phenomena", "lever principle", "photosynthesis") into dynamic teaching content. Both outputs are rendered by HyperFrames and share the same index.html (switched by the mode variable): ① narrated teaching video — storyboard + Minimax TTS Chinese narration + subtitles + full MP4 (1080p, ~90s, for posting on video channels/showing to kids); ② silent looping animation — a compact silent MP4 of the same content (1080p, ~32s, looping, autoplaying when embedded in the body of a WeChat official account article). Both share one 7-segment storyboard and the same theme palette (sound/light/force/electricity/heat/biology/math each have their own color scheme), so the video and the animation have a completely unified style. Use this skill when the user mentions "teaching video", "narrated video", "teaching animation", "silent animation", "looping video", "animation embedded in a WeChat official account article", "concept → animation", or gives a subject concept to be turned into dynamic content.
Interact with Litefuse and access its documentation. Use when needing to (1) query or modify Litefuse data programmatically via the CLI — traces, prompts, datasets, scores, sessions, and any other API resource, (2) look up Litefuse documentation, concepts, integration guides, or SDK usage, or (3) understand how any Litefuse feature works. This skill covers CLI-based API access (via npx) and multiple documentation retrieval methods.
Log analysis and log evasion methodology. Understand how the blue team traces attacks through logs (SIEM/Event Log/Syslog), and how the red team avoids logging or precisely removes traces. Use when designing operationally quiet actions or analyzing log monitoring coverage
Brand discovery and logo concept development. Use when brainstorming logo ideas, exploring visual directions, analyzing competitor logos, or developing logo concepts before creation. Triggers on "logo ideas," "logo concept," "brand identity," "logo brainstorm," "competitor logos," "visual identity exploration," or any pre-design logo planning.
Lua best practices for FiveM resources built on ox_lib, the way Overextended structures its own resources. Use when reading or editing any .lua file or fxmanifest.lua, or when the user asks when to use require, lib.load or lib.loadJson, how to split a resource into modules, where config goes, or how to use cache, lib.onCache, lib.points, lib.callback or locales.
macOS application architecture patterns covering App protocol (@main), Scene types (WindowGroup, Window, Settings, MenuBarExtra), multi-window management, NSApplicationDelegateAdaptor for AppKit lifecycle hooks, Info.plist configuration (LSUIElement for menu bar apps, NSAccessibilityUsageDescription), entitlements for sandbox/hardened runtime, and project structure conventions. Use when scaffolding a new macOS app, configuring scenes and windows, setting up menu bar apps, or resolving macOS-specific lifecycle issues. Corrects the common LLM mistake of generating iOS-only app structures.
Receive and secure Mailchimp webhooks. Use when setting up Mailchimp webhook handlers, responding to Mailchimp's GET URL validation, securing the endpoint with a URL secret, or handling audience events like subscribe, unsubscribe, profile, upemail, cleaned, and campaign.
Common style patterns, layer configurations, and recipes for typical mapping scenarios including restaurant finders, real estate, data visualization, navigation, and more. Use when implementing specific map use cases or looking for proven style patterns.
Designs unconventional tactics, growth hacks, viral campaigns, and low-budget stunts. Triggers for 'growth hack', 'viral campaign', 'guerrilla marketing', 'unconventional tactic', 'low-budget marketing', or 'marketing stunt' — not structured referral/affiliate programs (use referral) or community platform management (use community). This skill owns scrappy, creative, one-off experiments.
Apply psychological principles and mental models to marketing strategy. Triggers when users mention keywords such as psychology, mental models, cognitive bias, persuasion, behavioral science, consumer behavior, pricing psychology, why people buy, or decision-making. Provides 70+ mental models for marketing scenarios.
Integrate the alpha markstream-angular package into an Angular 20+ app. Use when Codex needs standalone component imports, signal-based examples, CSS wiring, custom HTML tags or customComponents setup, or optional peer integration in an Angular repository.
Import PyTorch, ONNX, or Keras 3 / TensorFlow 2.16+ deep learning models into MATLAB as dlnetwork objects. Use when importing .pt2 exported programs, traced .pt files, .onnx models, or Keras 3 models via matlabsaver. Covers importNetworkFromPyTorch, importNetworkFromONNX, importNetworkFromKeras, importNetworkFromTensorFlow, torch.export.export, PyTorchInputSizes, InputDataFormats, matlabsaver, tf_keras downgrade, numeric validation against PyTorch or ONNX Runtime, and placeholder/custom layer implementation. Applies when user mentions any of these functions, file formats, or encounters import errors, unsupported operator warnings, 0 learnables, or uninitialized networks.
Creates MATLAB interfaces to Python image processing and computer vision models from GitHub repositories or pip-installable packages using MPyReq. Use when asked to interface MATLAB with a Python CV/image model (segmentation, depth estimation, object detection, image generation, super-resolution, etc.), given a GitHub repo URL for an image/vision model, or asked to create an MPyReq demo for a deep-learning vision pipeline. Do NOT use for general-purpose Python-MATLAB interfacing, non-vision models (NLP, tabular, audio), model deployment/serving, or MATLAB-only image processing workflows.
Build OCR pipelines in MATLAB using the ocr() function. Use this skill when the user wants to read text from images, documents, signs, meters, displays, license plates, gauges, receipts, or seven-segment displays. Covers image preprocessing, text detection (CRAFT, MSER), ROI-based recognition, multi-language OCR, and custom model training. Use when: OCR, text recognition, extract text from image, character recognition, document scanning, meter reading, gauge reading, receipt scanning, digitize text from photo.
Capacitor MatrixScan AR (Barcode AR, BarcodeAr) — scanning multiple barcodes at once with AR highlights and annotations, BarcodeArView attached to a DOM element, in Capacitor iOS/Android apps (not the plain-web sibling). Use for integration, symbology configuration, highlight and annotation providers, session handling, migration from BarcodeBatch/BarcodeTracking, or troubleshooting.
MatrixScan AR (Barcode AR, BarcodeAr) in Flutter projects (scandit_flutter_datacapture_barcode_ar) — scanning multiple barcodes at once with AR highlights and annotations over tracked barcodes. Use for integration, scan settings, highlight and annotation providers, migration from BarcodeBatch/BarcodeTracking, or troubleshooting.
MatrixScan AR highlights in iOS projects (Swift, UIKit/SwiftUI) — the shapes drawn over tracked barcodes. Use for adding highlights, customizing or modifying existing ones, or handling highlight tap interaction — pipeline setup belongs to matrixscan-ar-ios.
MatrixScan AR scanning pipeline in iOS projects (Swift, UIKit/SwiftUI) — BarcodeAr mode and settings, BarcodeArView, listener, feedback, camera and controls, plus migration from MatrixScan Batch (BarcodeBatch/BarcodeTracking). Use for integration, configuration, or troubleshooting — highlight and annotation work routes to the sibling skills matrixscan-ar-highlight-ios and matrixscan-ar-annotation-ios.
MatrixScan Batch (MatrixScan, BarcodeBatch, legacy BarcodeTracking) in Flutter projects (scandit_flutter_datacapture_barcode_batch) — tracking and scanning multiple barcodes at once. Use for integration, settings and symbologies, tracked-barcode handling, per-barcode brushes, advanced-overlay AR widgets, lifecycle, or troubleshooting.
MatrixScan Count (BarcodeCount) in Flutter projects — scandit_flutter_datacapture_barcode_count package. Multi-barcode counting and receiving workflows (scan-and-count, counting against a target list, status providers) with the BarcodeCountView widget. Use for integration, scan settings, result handling, UI customization, SDK version migration, or troubleshooting counting workflows.
Guidance for embedding web content in .NET MAUI apps using HybridWebView, including JavaScript–C# interop, bidirectional communication, raw messaging, and trimming/NativeAOT considerations. USE FOR: "HybridWebView", "JavaScript interop", "embed web content", "JS to C# interop", "C# to JavaScript", "web view interop", "raw message", "InvokeJavaScriptAsync", "web content MAUI". DO NOT USE FOR: deep linking from external URLs (use maui-deep-linking), REST API calls (use maui-rest-api), or Blazor Hybrid apps (different from HybridWebView).
Maintains repo-local action contracts and harness repositories where product CLI and MCP adapters stay thin over core libraries. Use when adopting or improving steward.yaml actions, capability-level adoption evidence, cold-start proof loops, probes, benchmarks, CLI/MCP/core parity, adapter refactors, packages/core boundaries, or sibling harness layout; use repo-quality-system-lifecycle first for general app/library/tool stewardship baselines.
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From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.