Loading...
Loading...
Found 1,813 Skills
Implement Syncfusion WPF Linear Gauge (SfLinearGauge) in Windows Presentation Foundation applications. Use this when working with linear meters, thermometer displays, or progress indicators with scales. This skill covers scale configuration, adding pointers (bar or symbol), creating colored ranges, customizing labels and ticks, setting horizontal or vertical orientation, and implementing thermometer-style visualizations.
Use when the user needs end-to-end TypeScript development — from database schema through API layer to UI — with tRPC, Prisma, Next.js, authentication, and deployment. Triggers: full-stack feature implementation, database-to-UI pipeline, tRPC router creation, Prisma schema design, auth setup, deployment configuration.
Grafana OSS core features — dashboards, panels, visualization types, data sources, template variables, alerting, annotations, provisioning, RBAC, service accounts, and configuration. Use when building dashboards, configuring data sources, setting up provisioning YAML, managing users and permissions, writing PromQL/LogQL/TraceQL in panels, or configuring Grafana server settings.
Sets up or repairs the AGENTS.md source-of-truth pattern for any project. Creates a well-structured AGENTS.md with real stack info auto-detected from the project, then wires all AI config satellites (.claude/CLAUDE.md, .github/copilot-instructions.md, .agents/rules/, MEMORY.md) to point to it. Eliminates duplication. Always runs in plan mode — asks before acting. Use this skill whenever the user mentions AGENTS.md, agent config, source of truth for AI rules, setting up Claude/Copilot/Cursor for a project, fixing duplicate AI instructions, or wants to consolidate AI configuration files. Trigger even if the user just says "set up agents" or "fix my AI config".
Add `flutter_localizations` and `intl` dependencies, enable "generate true" in `pubspec.yaml`, and create an `l10n.yaml` configuration file. Use when initializing localization support for a new Flutter project.
Comprehensive reference for building Mintlify documentation sites. Use when creating pages, configuring docs.json, adding components, setting up navigation, or working with API references. Routes to detailed reference files for all components and configuration options.
Salesforce Connected Apps and External Client Apps OAuth configuration with 120-point scoring. Use this skill to configure OAuth flows, JWT bearer auth, Connected Apps, and External Client Apps in Salesforce. TRIGGER when: user configures OAuth flows, JWT bearer auth, Connected Apps, ECAs, or touches .connectedApp-meta.xml / .eca-meta.xml files. DO NOT TRIGGER when: configuring Named Credentials for callouts (use building-sf-integrations), reviewing permission policies (use deploying-metadata), or writing Apex token-handling code (use generating-apex).
Implement Syncfusion ASP.NET Core Barcode components including BarcodeGenerator (1D codes like Code39, Code128, Codabar), QR Code Generator, and DataMatrix Generator. Use this when rendering barcodes, implementing QR codes with logo embedding, or generating DataMatrix codes. This skill covers barcode type selection, color and dimension customization, display text configuration, and export functionality (JPG, PNG, Base64).
Operational guide for choosing and combining parallelism strategies in Megatron Bridge, including sizing rules, hardware topology mapping, and combined parallelism configuration.
Manages PubNub apps, keysets, and environment separation. Covers the publish/subscribe/secret key model, dev/staging/prod isolation, key rotation hygiene, demo-key boundaries, and custom origin configuration. Use when setting up a new PubNub project, separating environments, rotating keys, configuring demo or production keysets, or asking about apps, keysets, or custom origins.
Integrate a HuggingFace Computer Vision model into the NVIDIA TAO Toolkit ecosystem (tao-core config, tao-pytorch trainer, tao-deploy TensorRT pipeline). Use when the user asks to "integrate a HuggingFace model into TAO", "add an HF model to TAO Toolkit", "wire a HuggingFace ViT/DETR/ SegFormer into tao-pytorch", "build a TAO trainer + deploy pipeline for an HF CV model", or pastes a HuggingFace model URL/ID and wants it turned into a TAO model. Covers the full 7-phase loop: prerequisites check, HuggingFace inspection and validation, codebase exploration, tao-core configuration and native trainer implementation, ONNX export plus TensorRT deploy integration, packaging and L0 testing, container-based end-to-end validation, and (conditional) accuracy/latency tuning. Supports classification, object detection, semantic / instance / panoptic segmentation, zero-shot detection, and depth estimation.
Use when working with Nuxt Content v3 - provides collections (local/remote/API sources), queryCollection API, MDC rendering, database configuration, NuxtStudio integration, hooks, i18n patterns, and LLMs integration