Skill UI

Develop a complete, multi-chain wallet portfolio tracker using Alchemy's Enhanced APIs. This workflow aggregates ETH balances, ERC-20 token holdings, NFT assets (ERC-721/1155), and transaction history across major chains (Ethereum, Polygon, Arbitrum, Optimism, Base). Ideal for building sophisticated decentralized applications (dApps) and comprehensive Web3 dashboards.

This module provides comprehensive observability for Anthropic's Claude API integrations. It enables the tracking of critical operational metrics including latency, token usage (input/output), estimated API costs, and error rates. Use it to set up structured logging and Prometheus metrics for robust monitoring and alerting, ensuring reliable and cost-effective AI application deployments.

A robust reference architecture designed for integrating multi-property portfolios with the AppFolio Stack API. It manages complex tasks such as real-time vacancy tracking, tenant lifecycle management, work order routing, and financial accounting reconciliation (e.g., QuickBooks/Xero). Key components include a service layer, multi-level caching strategies for optimal data freshness, and an event-driven pipeline (using webhooks and message queues) to ensure data consistency and idempotency across all transactions, addressing potential rate limits and failure modes.

This skill provides comprehensive API access to manage core Attio workflow components. Users can list and query pipelines, create, update, and delete list entries, track activities via notes, and manage tasks assigned to records. It is ideal for automating complex CRM workflows, sales pipeline management, and activity logging within Attio.

This comprehensive workflow manages core employee data within BambooHR. It allows users to handle time off requests, track PTO balances, administer benefits, and manage personal records. Users can upload/retrieve employee files and photos, and check performance goals and training records. Essential for automating HR operations.

This guide provides advanced patterns for managing rate limits when integrating with the Canva Connect API. It covers implementing exponential backoff with jitter for retries, using queue-based throttling to control request throughput, and building proactive rate limit trackers. Ideal for building stable, production-grade integrations that must handle 429 errors and quotas gracefully.

This reference architecture provides a comprehensive blueprint for building a robust revenue intelligence data platform integrated with Clari. It covers the entire data lifecycle, including API data extraction (ETL pipeline), data warehousing design (Snowflake/BQ), change detection logic, and advanced analytics/alerting layers. Use this guide when designing a scalable forecast tracking system, planning complex data integrations, or establishing best practices for enterprise revenue analytics.

Automates the integration of ClickUp API within Continuous Integration/Continuous Deployment (CI/CD) pipelines using GitHub Actions. This skill allows users to run comprehensive unit and integration tests against the ClickUp API v2, and critically, enables syncing the final deployment status (e.g., 'deployed') back to the corresponding ClickUp task, ensuring task tracking is always aligned with development progress.

This skill provides comprehensive observability for ClickUp API integrations. It instruments API calls to capture key metrics like request rate, latency percentiles, error counts, and rate limit usage. It integrates with Prometheus for metrics, OpenTelemetry for distributed tracing, and structured logging for detailed event tracking. Use it to build robust dashboards and set up critical alerts for API performance issues.

Provides a production-ready, layered architectural guide for integrating with the ClickUp API v2. This comprehensive reference covers implementing core features such as custom fields, detailed time tracking, goal setting (OKRs), and robust two-way synchronization with external systems. It is essential reading for developers building sophisticated, enterprise-grade ClickUp solutions.

Provides strategies to optimize costs when utilizing the Cohere API. This guide covers model tier selection (economy, standard, premium), implementing token budgets, reducing embedding storage costs (e.g., using int8), and establishing comprehensive usage trackers. It is essential for maintaining cost predictability in production AI deployments.

A comprehensive solution for setting up production-grade observability for Cohere API v2. It integrates Prometheus metrics, OpenTelemetry tracing, and robust alerting mechanisms. This skill tracks critical operational data including per-endpoint latency, token consumption (input/output), error rates, and usage costs, ensuring reliable monitoring for AI-powered applications.