Skill UI

A comprehensive guide and setup for establishing a fast, reproducible local development loop for web scraping projects using Bright Data. It includes configuring proxy modules, implementing response caching to save credits, and setting up mocked test suites (using Vitest) for robust, isolated testing without requiring live proxy access or consuming resources.

This workflow provides an end-to-end programmatic solution for managing the Canva design lifecycle. It allows users to create new designs via the API, redirect users to the editor for modifications, retrieve design metadata, and finally, export finished assets in various high-quality formats (PDF, PNG, JPG, etc.). Ideal for integrating design capabilities into external applications like CMS or marketing automation tools.

This comprehensive guide details setting up a secure Canva Connect API integration using the OAuth 2.0 Authorization Code flow with PKCE (Proof Key for Code Exchange). It covers the entire lifecycle: client registration, token generation, code exchange for access tokens, and refreshing expired tokens. Use this skill when building applications that require programmatic access to Canva's design and asset management capabilities.

A production-ready guide detailing the best-practice architecture for integrating with the Canva Connect API. It outlines the project structure, layer architecture (Routes, Services, Client, Infrastructure), authentication flow (OAuth 2.0 PKCE), and best practices for handling design creation, asset management, and exports. Use this when building new Canva-powered applications or standardizing existing integration projects.

A comprehensive skill for implementing secure, real-time webhook endpoint handling for Canva. This module covers receiving and verifying signed JWT payloads using JWK keys, enabling your application to react instantly to various user interactions (e.g., comments, design sharing, access requests). Ideal for building sophisticated SaaS integrations and automating workflows based on Canva activity.

This skill guides the setup and configuration of the CAST AI Workload Autoscaler, enabling dynamic right-sizing of pod resource requests (CPU and Memory). It automatically adjusts resources based on actual usage, significantly reducing cloud over-provisioning costs. Use this guide to implement workload scaling policies, configure resource limits via Kubernetes annotations, and monitor scaling events in Kubernetes environments.

This skill provides the comprehensive workflow for interacting with the Anthropic Messages API. It covers advanced features including streaming responses, multimodal vision input, generating structured JSON output using system prompts, and managing multi-turn conversations. It redirects users to the current, primary guide for all Claude API patterns.

This guide demonstrates how to build advanced AI agents using Anthropic's Tool Use (Function Calling) feature. It allows Claude to dynamically determine when external actions are needed, such as querying databases, calling APIs, or reading files. The pattern involves sending the user query, receiving a `tool_use` request, executing the corresponding function in your code, and submitting the result back to Claude for a final, coherent response. Essential for building multi-step, agentic workflows.

This skill provides blueprints for deploying Clari data export pipelines into robust, production-grade cloud environments. It guides users on setting up reliable, scheduled, and serverless data syncs using major platforms like Airflow DAGs, AWS Lambda, and Google Cloud Functions. Ideal for automating revenue forecasting and business intelligence data extraction.

A comprehensive workflow for setting up local development environments for Clari API integrations. It allows users to mock forecast data, test complex export pipelines, and iterate on data transformation logic (such as forecasting and aggregation) without requiring live API calls. Ideal for building robust dashboards and validating data workflows.

This comprehensive guide provides advanced workflows for interacting with ClickHouse. It covers efficient bulk data insertion (CSV, JSON), complex analytical querying (funnel analysis, retention), implementing materialized views for pre-aggregation, and utilizing powerful window functions. Ideal for building high-performance OLAP dashboards and executing large-scale data transformations.

A comprehensive workflow for building NFT collection explorers and interacting with smart contracts using Alchemy's robust APIs. It covers fetching detailed NFT metadata (including OpenSea data and floor price), batch processing metadata, reading standard contract states (like ERC-20 balances), and verifying NFT ownership. Ideal for developing advanced Web3 applications, marketplaces, and data dashboards.