Skill UI

This guide provides a comprehensive walkthrough for starting with the ClickUp API v2. It details the platform's core data hierarchy (Workspace > Space > Folder > List > Task) and demonstrates the fundamental API calls required for integration setup. Users will learn how to list workspaces, retrieve spaces, and successfully create a new task using both cURL and TypeScript examples. It is ideal for developers beginning a new ClickUp integration or requiring basic API testing.

This comprehensive guide details the process of installing and configuring the Cohere SDK (v2) in both Node.js and Python environments. It covers initial setup, setting API keys via environment variables, and provides full code examples for verifying connectivity across various Cohere endpoints, including Chat, Embed, and Rerank, enabling immediate integration into your AI projects.

This guide details how to set up and execute large-scale, distributed GPU training jobs on the CoreWeave platform. It covers both single-node multi-GPU setups and multi-node training utilizing PyTorch DDP and Kubernetes resources (A100/H100). This workflow is ideal for fine-tuning large language models (LLMs) or running complex deep learning models that require high-performance, shared-storage compute clusters.

This bundle is designed to collect comprehensive diagnostics for CoreWeave clusters, including GPU node status, Kubernetes Pod logs, event history, and API connectivity. It aggregates critical cluster-level resource allocation and failure data into a single, actionable archive. Use it when preparing a support ticket to expedite the diagnosis of complex infrastructure issues like stuck pods, OOM errors, or resource bottlenecks.

This skill provides real-time monocular depth estimation using advanced models like Depth Anything v2. It transforms live camera feeds by generating colorized depth maps, enabling depth overlays and detailed scene understanding. Crucially, it supports a 'privacy mode' that anonymizes visual identities by using depth-only transformation, preserving only the spatial layout and movement patterns for secure monitoring purposes. Optimized for both CoreML on macOS and PyTorch on other platforms.

This comprehensive guide details how to install and properly configure the ElevenLabs SDK for both Node.js and Python environments. It covers setting up the required API keys using environment variables, initializing the client connection, and verifying the setup by listing available voices. Use this skill when starting a new project that requires advanced text-to-speech (TTS) or voice synthesis capabilities.

A comprehensive guide for accessing and managing Feishu IM messages. This skill allows users to retrieve historical chat records from both group and private conversations, read detailed thread replies, and conduct cross-conversation searches using keywords or time filters. It also supports downloading all types of embedded media, including images, files, audio, and videos, ensuring complete information recall.

This skill automates the complex process of creating formal drawing descriptions and reference numeral indexes for patent applications. It analyzes user-provided technical diagrams (PNG, JPG, SVG, PDF), identifies components, assigns sequential reference numerals according to standard patent rules (e.g., 100-199 for FIG. 1), and generates structured descriptions in both Chinese (CN) and English (US/EP). It also cross-references the generated index against patent claims to ensure completeness.

A comprehensive guide to optimizing the Finta fundraise workflow. This document addresses critical performance bottlenecks, including pagination issues with large investor datasets, latency in multi-stage round data aggregation, and slow CRM synchronization. Optimization strategies cover cursor-based fetching, strategic caching (TTL management), connection pooling, and robust rate limit handling, aiming to reduce pipeline load times by 50-70% and maintain dashboard responsiveness.

This guide details how to install and configure authentication methods for the Flexport API. It covers both static API Keys (bearer tokens) and dynamic OAuth credentials (Client ID/Secret) to secure connections for logistics and supply chain operations. Use this when integrating a new application to read, write, or manage shipment data.

This plugin allows developers to build Framer components by syncing data from external data sources (such as APIs or databases) into Framer's Managed Collections. It serves as the primary integration pattern, handling both schema creation and item population. Use this when your design requires displaying dynamic content driven by external systems.

A comprehensive skill that brings the entire GitHub pull request workflow directly into your terminal. It allows users to view PR status, monitor real-time CI/CD progress, summarize bot comments, and execute merge operations (squash, merge, rebase) without switching to a browser. It consolidates all critical PR information—including file changes and review blockers—into one cohesive view, streamlining the developer workflow and DevOps process.