Explore our collection of Agent Skills to enhance your AI workflow.
Simplifies the implementation of navigation and URL-based routing within the Umbraco CMS backoffice environment.
Standardizes the beginning of a coding session by verifying environment health, reviewing progress, and identifying the next priority task.
Preserves mid-session coding progress and context without requiring a full shutdown or heavy verification cycle.
Generates production-ready JavaScript action scripts for Langdock integrations from API documentation or descriptions.
Architects comprehensive evaluation frameworks for AI agents by defining metrics, datasets, and grading strategies.
Orchestrates parallel architectural reviews using real Gemini, Codex, and Cursor-Agent CLIs alongside native Claude sessions for diverse technical feedback.
Configures comprehensive Langfuse datasets with custom evaluation dimensions and LLM-as-judge prompts.
Implements reactive state management and observable patterns within the Umbraco backoffice environment.
Automates the evaluation, trace analysis, and documentation cycle for Langfuse-integrated AI agents.
Manages multi-language support and UI translations within the Umbraco Backoffice using the Extension Registry and Localization Controller.
Audits application user experience and production readiness through structured lifecycle frameworks and technical gap analysis.
Implements and configures server-side property editor schemas for Umbraco CMS backoffice customizations.
Scaffolds production-ready Umbraco backoffice extensions using official .NET templates and modern TypeScript/Vite tooling.
Streamlines the development of custom Umbraco Backoffice UI components using Web Components and the Umbraco Element API.
Automates the implementation of default property values in the Umbraco CMS backoffice using the latest extension APIs.
Guides developers through the iterative process of refining, scaling, and optimizing production-ready SaaS applications.
Automates Langdock assistant management, knowledge base operations, and usage data exports through a unified CLI wrapper.
Facilitates the creation of custom header extensions for the Umbraco Backoffice to provide global tools and navigation.
Facilitates LLM agent evaluation and observability by bridging Claude-style commands to Langfuse infrastructure and dataset management.
Implements and manages toast-style user feedback within the Umbraco CMS backoffice using the Context API.
Establishes a proactive framework that captures learnings and encodes patterns during the development process to create compounding productivity gains.
Guides absolute beginners through the entire process of setting up a production-ready SaaS environment and initial project structure.
Automates the creation of comprehensive evaluation pipelines for AI agents using Langfuse observability and testing frameworks.
Architects unique, production-grade SaaS UI/UX by applying intentional design principles and avoiding common AI-generated tropes.
Implements type-safe global contexts for sharing state and services across the Umbraco backoffice session.
Optimizes SaaS applications for search engines using Next.js best practices and automated SEO configurations.
Builds custom visual preview components for file uploads within the Umbraco CMS backoffice.
Provides production-ready code templates for Supabase authentication, environment variable validation, and core SaaS UI components.
Implements the Umbraco Context API to enable type-safe, decoupled communication between backoffice components.
Provides standardized workflows and implementation patterns for updating, maintaining, and adding features to production-ready SaaS applications.
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