Skill UI

This guide sets up a fast, cost-effective local development loop for building applications powered by the Anthropic API (Claude). It includes instructions for hot reloading, cost-saving tips (e.g., using Haiku, token limits), and mock client implementation for robust unit testing. It supports both TypeScript/Node.js and Python environments, streamlining the AI development workflow.

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.

This guide provides strategies to minimize API overhead when integrating with Clari. Users can optimize export frequency (e.g., daily vs. quarterly), implement data caching, and restrict data exports to only the necessary types, thereby reducing operational costs and improving system performance.

A comprehensive, step-by-step guide for safely upgrading ClickHouse server versions and the associated Node.js client SDK. This guide covers pre-upgrade checks, reviewing major breaking changes, updating client code (e.g., 'host' to 'url'), performing server backups and updates, and implementing full validation and rollback procedures.

This comprehensive runbook provides structured procedures for handling Cohere API outages. It guides users through incident triage (P1-P4), quick troubleshooting steps, and detailed mitigation strategies for common error codes (401, 429, 5xx). Includes best practices for graceful degradation and post-incident review, ensuring rapid service restoration.

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.

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 expert guidance on building and maintaining applications using Amazon Aurora DSQL, a serverless, PostgreSQL-compatible distributed SQL database. It covers critical areas including schema management, multi-tenant architecture, IAM authentication, and safe data migrations (e.g., MySQL to DSQL). Users can execute direct queries, analyze performance bottlenecks using query plan explainability, and adhere to industry best practices for robust, scalable database design.

This skill provides comprehensive guidance for building and managing applications using Amazon Aurora DSQL, a serverless, distributed, PostgreSQL-compatible SQL database. Topics cover schema management, multi-tenant isolation, IAM authentication, complex DDL migrations (column, constraint), MySQL data type mapping, and advanced query performance tuning using plan explainability tools, ensuring robust and scalable data architecture.

This utility performs comprehensive diagnostics to verify the correct setup and operational health of Promptbook. It systematically checks the configuration file existence, API key validity via external calls, and recent session activity logs. It is essential for troubleshooting or for users who need to ensure all components are functioning correctly after initial setup or updates.

A comprehensive diagnostic guide for common ElevenLabs API errors, organized by HTTP status code. It provides detailed causes, fixes, and troubleshooting steps for issues such as invalid API keys (401), quota exhaustion, exceeding character limits (400), and rate limiting (429). Essential for developers debugging TTS, voice cloning, or streaming requests.

This guide sets up a professional, cost-effective local development workflow for ElevenLabs TTS/voice projects. It includes SDK mocking to prevent character quota overruns during testing, hot-reloading capabilities, and quota-aware scripts. Ideal for developers building robust AI voice applications.