Skill UI

Expert proficiency in modern Angular development (v20+). Mastery includes Signals for fine-grained reactivity, Standalone Components for modular architecture, and Zoneless applications for peak performance. Skilled in implementing SSR, Hydration, and adopting the latest reactive patterns to build highly performant, scalable enterprise frontend applications.

Expert proficiency in modern Angular development (v20+). Mastery includes Signals for fine-grained reactivity, Standalone Components for modular architecture, and Zoneless applications for peak performance. Skilled in implementing SSR, Hydration, and adopting the latest reactive patterns to build highly performant, scalable enterprise frontend applications.

This is a low-level SDK for Java designed to create and manage persistent AI agents within Azure AI. It provides comprehensive tools for handling the entire agent lifecycle, including creating agents, managing conversation threads, sending messages, running agent processes, and cleaning up resources. Ideal for building robust, stateful AI applications requiring fine-grained control over agent interactions.

This is a low-level SDK for Java designed to create and manage persistent AI agents within Azure AI. It provides comprehensive tools for handling the entire agent lifecycle, including creating agents, managing conversation threads, sending messages, running agent processes, and cleaning up resources. Ideal for building robust, stateful AI applications requiring fine-grained control over agent interactions.

This skill provides comprehensive guidance on leveraging d3.js (Data-Driven Documents) to create sophisticated, interactive, and publication-quality data visualizations. It covers core concepts like data binding, implementing various chart types (network graphs, geo-maps, etc.), handling complex transitions, and ensuring responsiveness across modern JavaScript frameworks (React, Vue, Vanilla JS). Learn the standard workflow for scale definition, axis creation, and drawing custom visual elements with fine-grained control.

A comprehensive guide for establishing robust, enterprise-grade access control within Databricks. Covers implementing Single Sign-On (SSO) via SCIM, leveraging Unity Catalog for fine-grained Role-Based Access Control (RBAC), defining cluster policies, and enforcing data governance measures like Row-Level Security (RLS) and column masking. Essential for large-scale, secure data platforms.

A comprehensive guide covering production-grade patterns for using the Langfuse SDK. Learn how to implement robust LLM observability, including singleton client setup, using the `observe` wrapper for automatic span creation, and utilizing `startActiveObservation` for fine-grained trace control. Essential for maintaining high standards of observability in AI-powered applications.

This skill guides users on configuring advanced access controls within Lokalise Enterprise. It details how to implement fine-grained role-based access control (RBAC), manage complex permissions (Admin, Reviewer, Translator) using API calls, enforce language-level scoping, and handle team-level user assignments. Furthermore, it provides instructions for integrating Single Sign-On (SSO) and creating contributor groups for scalable enterprise management.

A comprehensive guide on optimizing Sentry observability costs. Learn techniques such as SDK-level error sampling, fine-grained performance tracing control, and event filtering using the `beforeSend` hook. These methods significantly reduce the volume of error and transaction data sent, allowing users to manage quotas and prevent overage charges without losing visibility into mission-critical production errors.

Programmatic canvas toolkit for creating, editing, and syncing Excalidraw diagrams via MCP or REST, with import/export, snapshots, and fine-grained element control.

This skill automates the extraction of actionable items, commitments, and follow-ups from meeting notes (e.g., Granola, Grain). It creates structured tasks in Todoist, updates task status, and drafts follow-up emails. Ideal for running daily or post-meeting cron jobs to ensure all commitments are tracked and executed.

This skill monitors Todoist for tasks that are due or overdue and require follow-up (email, ping, etc.). It automatically drafts highly contextual emails by combining task descriptions, retrieved meeting transcripts (from Granola/Grain), and prior email history. Drafts are created directly in Gmail and the user is notified via WhatsApp, saving significant time on manual follow-ups and ensuring context-aware communication.