Skill UI

Generates professional conference presentation slides from a compiled research paper. This skill produces dual outputs: a polished Beamer LaTeX PDF for high-quality typesetting, and an editable PPTX for flexible adjustments. It supports multiple talk types (Poster, Spotlight, Oral, Invited) and includes detailed guidelines for speaker notes and talk scripting, making it essential for academic researchers preparing for major ML and systems conferences.

This guide provides comprehensive strategies for managing version upgrades and handling breaking changes related to the Fathom AI meeting assistant API. It includes TypeScript examples for detecting schema drift, migrating old transcript formats to new speaker-attributed segments, and implementing robust rollback mechanisms, ensuring stable integration into downstream analytics and CRM systems.

This skill guides developers on implementing event-driven logic for Hex CI/CD workflows. Since Hex does not provide native push webhooks, this method demonstrates how to poll run statuses using callbacks (e.g., TypeScript) to reliably detect task completion or failure. It is essential for integrating Hex pipelines with external services like Slack or custom notification systems.

This workflow automates the design handoff process by creating a continuous pipeline from Figma designs to functional React code. It scans Figma components, generates code batches (supporting TypeScript, Tailwind CSS, etc.), and includes change detection to automatically update the codebase when the design source changes. Ideal for building complex design systems and implementing CI/CD design-to-code workflows.

This skill provides a comprehensive guide to implementing and managing BambooHR webhooks. It covers both global and permissioned webhook types, detailing the process from API setup to robust payload handling. Key security aspects include HMAC-SHA256 signature validation for ensuring data integrity and authenticity. Ideal for developers needing to build real-time employee synchronization triggers, process employee creation, updates, or deletions, and integrate BambooHR data into other enterprise systems.

A comprehensive, production-ready reference architecture for building robust data scraping systems using Bright Data's full suite of tools (Web Unlocker, Scraping Browser, SERP API). This template provides best practices for project layout, managing proxies, designing data pipelines, and integrating scheduling/storage components in a Node.js/TypeScript environment.

This guide provides production-ready, structured code patterns for integrating with the Hootsuite REST API using TypeScript and Python. It includes type-safe API clients, timezone-aware scheduling helpers, and cross-platform content formatting utilities. Ideal for building robust, scalable social media management systems or refactoring existing SDK usage.

This comprehensive guide provides a production-ready, layered architecture pattern for integrating external systems with Intercom. It covers service management (Contacts, Conversations), webhook processing, contact syncing (CRM), and robust client handling, ensuring type safety and scalability. Use this when designing new, complex Intercom integrations or reviewing existing project structures.

A comprehensive guide and toolkit for developers managing MindTickle integrations. This resource details critical API schema changes, such as evolving course progress structures, supporting new quiz types, and updating SCIM/CRM provisioning models. It is essential for auditing, migrating, and ensuring the stability of data synchronization with external systems like Salesforce.

Implements comprehensive webhook handling for Miro boards. This solution allows external applications to subscribe to real-time events (create, update, delete) occurring on specific boards. It covers board subscription creation, event payload parsing, signature verification, and robust asynchronous event processing using TypeScript/Express.js, enabling seamless integration with external systems.

This skill provides advanced architectural patterns for optimizing high-volume integrations with the Navan API. It addresses common bottlenecks like rate limiting, sequential calls, and naive pagination by implementing robust solutions such as data-type-specific response caching, controlled parallel fetching with concurrency throttling, efficient cursor-based pagination, and HTTP connection reuse. Use this when building scalable, reliable, and high-throughput systems.

Qdrant is a high-performance vector database. This client SDK suite provides official, easy-to-use libraries for multiple programming languages (including Python, Java, Go, and TypeScript). It enables developers to seamlessly integrate sophisticated vector search capabilities into their applications, supporting both REST and gRPC APIs. Ideal for building semantic search engines, recommendation systems, and advanced AI applications.