Skill UI

Guides Kubernetes operators through workload design, manifest generation, security hardening, networking, storage, GitOps, and multi-cluster operations while ensuring probes, resource limits, and least-privilege policies.

Offers automated AWS Lambda function generator guidance within the AWS Skills domain, producing code/configuration, enforcing cloud best practices, and validating serverless outputs when users request lambda function generator help.

Automates AWS Lambda layer setup by providing step-by-step guidance, validating against best practices, and generating production-ready code and deployment configurations for compute, storage, and networking scenarios.

A comprehensive diagnostic guide for resolving the 10 most common Langfuse integration errors. This resource covers root causes, specific error codes (like 401 Unauthorized or connection timeouts), and provides tested solutions for debugging missing traces, authentication failures, and general LLM observability issues.

A minimal example demonstrating how to implement basic tracing using the Langfuse SDK. It illustrates the hierarchy of traces, spans, and generations (LLM calls), providing code examples in TypeScript and Python for easy setup and integration testing.

Automates frontend lazy-loading workflows by guiding best practices, generating React/Vue-ready code, and validating production configurations for accessible, high-performance web apps.

This guide demonstrates the basic workflow for building an AI agent using a webhook trigger. The agent receives structured data (payload), utilizes an LLM to extract key information and generate a concise summary (summarization step), and finally executes an action by posting the summary to Slack or sending an email. Ideal for beginners learning about AI agent architecture, testing data flow, and implementing simple automated system notifications.

Automates load test scenario planning by guiding through best practices, generating production-ready configurations, and validating load, stress, benchmarking and performance monitoring activities.

Locust Test Creator automates performance-testing guidance, best-practice verification, and ready-to-run code/config generation whenever you request locust-specific load, stress, benchmark, or monitoring scenarios.

This skill provides comprehensive handling for Lokalise translation data, covering the entire localization lifecycle. It facilitates creating keys with rich metadata, managing versions using immutable snapshots, isolating work with feature branches, and generating various export formats (JSON, XLIFF). It is essential for handling sensitive translation data, ensuring PII compliance, and managing scalable internationalization within development pipelines.

This guide provides a comprehensive walkthrough for integrating Lokalise into any project. It covers installing the Node.js SDK (@lokalise/node-api) and the local command-line interface (lokalise2). Crucially, it details the process of generating, setting, and verifying API tokens or OAuth credentials, ensuring secure and functional communication with the Lokalise platform. Use this when setting up a new localization integration or refreshing existing credentials.

This guide provides a comprehensive local development environment setup for Internationalization (i18n) using Lokalise. It details configuring the project structure, implementing CLI scripts for synchronizing source strings (push) and translations (pull), setting up file watching for hot reloading, and generating mock translations for robust offline testing. Ideal for developers managing multi-language applications.