Skill UI

A comprehensive guide to implementing production-grade reliability patterns for the Canva Connect API. Learn to use Circuit Breakers, graceful degradation, exponential backoff retries, and token refresh strategies to build fault-tolerant integrations that can handle network failures, rate limits, and service outages gracefully.

Integrates CAST AI cost validation into CI/CD pipelines (GitHub Actions, Terraform). This skill automatically enforces cost governance by checking minimum savings thresholds, validating Terraform plans to prevent destructive changes, and ensuring agent health status before deployment, guaranteeing cost-aware and safe deployments.

A comprehensive guide for testing and validating Claude API integrations within Continuous Integration/Continuous Deployment (CI/CD) pipelines. Learn best practices for managing API keys securely, implementing effective mocking strategies for unit tests, and executing real integration tests while controlling costs using tools like GitHub Actions.

This skill provides comprehensive guides for deploying stateless, serverless API wrappers powered by Claude (Anthropic). It details how to integrate and stream responses from the Messages API across major cloud environments, including Vercel Edge Functions, Fly.io, and Google Cloud Run. It is essential for productionizing AI applications that require robust secret management, scalable infrastructure, and real-time streaming capabilities.

This comprehensive guide teaches developers how to interact with Claude AI using the official Anthropic SDK. It provides step-by-step instructions on basic message creation, implementing system prompts, and managing multi-turn conversation flows via the Messages API. Ideal for setting up a new Claude integration or testing core API functionality.

Provides best practices for configuring Large Language Model (LLM) access, specifically for Anthropic Claude, across development, staging, and production environments. This guide details setting up separate API keys, selecting appropriate models (e.g., Haiku, Sonnet, Opus), and managing unique rate limits for robust, scalable, and secure LLM integration in enterprise systems.

This guide details essential best practices for securing applications integrated with Anthropic's Claude API. It covers critical security measures including secure API key management (server-side only), robust input validation to prevent cost attacks, defense mechanisms against prompt injection, and implementing per-user rate limiting. Essential reading for maintaining data privacy and system integrity in production environments.

A comprehensive guide to setting up and securing API access for Clari. Learn how to generate API tokens, configure environment variables, and test connectivity to export critical revenue intelligence and forecast data to data warehouses like Snowflake or BigQuery. Includes steps for both standard Clari API and Copilot API integration.

This checklist guides the secure and robust deployment of Clari API integrations into a production data pipeline. It covers crucial areas like secret management, rate limit handling, data deduplication, error resilience (circuit breakers, backoff), and comprehensive monitoring setup, ensuring reliable revenue forecasting and reporting.

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.

This guide outlines best practices for securing your Clari integration. It covers secure API token management, emphasizing storage in secrets managers (like AWS Secrets Manager), and implementing robust PII redaction methods for exported forecast data to maintain data privacy and compliance.

Automate the execution of integration tests against a live ClickHouse database instance within a Continuous Integration (CI) pipeline using Docker containers. This setup eliminates the need for mocks, ensuring thorough schema validation and query reliability in environments mirroring production deployments. Ideal for robust CI/CD setup and schema enforcement.