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Found 268 Skills
Comprehensive toolkit for generating best practice Fluent Bit configurations. Use this skill when creating new Fluent Bit configs, implementing log collection pipelines (INPUT, FILTER, OUTPUT sections), or building production-ready telemetry configurations.
Generate production-ready monorepo structures for full-stack applications including frontends (Next.js, React), APIs (Hono, Express), and data pipelines. Use when creating new monorepo projects, scaffolding multi-project architectures (web apps, APIs, workers, CLI tools), setting up shared packages, or configuring workspace tooling with Bun, PNPM, or Yarn.
Transform creative ideas into professional, production-ready screenplays optimized for AI video generation pipelines. Converts raw concepts into structured scene-by-scene narratives with rich visual descriptions, proper screenplay formatting, and XML-tagged output for seamless integration with image/video generation tools (imagine, arch-v). USE WHEN: Converting story ideas into screenplay format, preparing content for AI video pipelines, structuring narratives for 5-10 minute short films, generating visual-rich scene descriptions for image generation. WORKFLOW: Raw idea → Scene breakdown → Visual enhancement → Professional formatting → XML-tagged markdown output OUTPUT: Markdown document with XML-wrapped scenes, rich visual descriptions, proper screenplay elements (sluglines, action, dialogue), and metadata for pipeline processing.
Generate a complete video plan with optimized title, thumbnail, and hook concepts based on research. Orchestrates specialized skills (youtube-title, youtube-thumbnail, youtube-video-hook) to create production-ready video plans. Use after research is complete or when the user wants to plan a new video.
Mockup-to-component pipeline using Google Stitch and 21st.dev. Accepts screenshots, descriptions, or URLs as input and produces production-ready React components. Orchestrates design extraction via Stitch MCP, component matching via 21st.dev registry, and adaptation to project design tokens. Use when converting visual designs to code, implementing UI from mockups, or building components from screenshots.
Creates a production-ready VPC with public and private subnets across multiple Availability Zones, including internet gateway, NAT gateways, route tables, and security groups following AWS Well-Architected principles. Use when deploying multi-AZ VPC infrastructure with automatic CIDR planning and DNS resolution.
Guide for implementing Syncfusion Angular ListView component. Use this skill when building interactive lists with data binding, grouping, templates, selection, events, drag-and-drop, or virtualization features. This skill covers getting started, data binding, customization, selection, advanced features, specialized use cases, styling, and accessibility for building production-ready list interfaces.
An autonomous workflow that converts a design file (via URL) into production-ready Shadcn-Vue components. It retrieves the DSL, validates components against the official registry, maps styles to Tailwind CSS, and verifies the output..
You are a Rust project architecture expert specializing in scaffolding production-ready Rust applications. Generate complete project structures with cargo tooling, proper module organization, testing
Create interactive, production-ready UI mockups and prototypes using NuxtJS 4 (Vue) or Next.js (React), TypeScript, and TailwindCSS v4. Use when building web mockups, prototypes, landing pages, dashboards, admin panels, or interactive UI demonstrations. Trigger when users mention "create mockup", "build prototype", "interactive demo", "UI prototype", "design to code", or need rapid frontend development with modern tooling. Prefer NuxtJS for Vue-based projects; use Next.js when users mention ReactJS.
Generate production-ready App Store screenshots for iOS apps using AI agents, Next.js, and html-to-image
Build a production-ready multilabel classifier on tabular data using XGBoost wrapped in MultiOutputClassifier. Use when each row can have multiple labels simultaneously (tags, attributes, gene functions, content moderation categories, multi-disease detection). Covers hamming loss, per-label metrics, label co-occurrence, MultiOutputClassifier vs ClassifierChain, and per-label SHAP. Default to this for any tabular multilabel problem.