Skill UI

This advanced guide covers core Anthropic workflow patterns, specifically focusing on tool use (function calling) and building complex, agentic loops. It provides detailed instructions on defining tools using JSON Schema, executing tool calls, and managing the iterative process required for building sophisticated, AI-powered agents using the Anthropic API.

A comprehensive guide to implementing secure, scalable, and audited access control for Anthropic enterprise deployments. It details best practices for establishing Organization structures, isolating environments (Dev/Staging/Prod), managing API keys, and implementing Role-Based Access Control (RBAC) to prevent security breaches and control costs.

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.

A comprehensive guide detailing 10 common mistakes and best practices when integrating with the Anthropic API (Claude). It covers critical technical aspects such as correctly setting `max_tokens`, using the top-level `system` parameter, managing message alternation, checking `stop_reason`, and optimizing client initialization for robust AI application development.

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.

A comprehensive guide and code pattern for configuring ClickHouse instances across development, staging, and production environments. It emphasizes best practices for infrastructure-as-code (IaC), secure secrets management (integrating AWS Secrets Manager, Vault, etc.), and ensuring environment-specific settings are correctly applied for reliable data analytics pipelines.

This skill provides comprehensive handling for sensitive data extracted from the ClickUp API. It includes automated PII detection (emails, phone numbers, SSN), data redaction for secure logging, and mechanisms to ensure GDPR/CCPA compliance through structured data exports. Furthermore, it enforces data retention policies, managing data lifecycle from collection to secure deletion.

A comprehensive runbook for managing ClickUp API v2 integration failures and outages. It guides users through rapid incident triage, diagnosis based on specific error codes (401, 429, 500), and implementing advanced mitigation techniques like circuit breakers and graceful degradation. This ensures systematic and efficient service recovery.

This guide provides a comprehensive strategy for configuring ClickUp API access across development, staging, and production environments. It emphasizes the critical importance of environment isolation using separate API tokens and dedicated workspaces to prevent data leaks and accidental destructive operations in live environments. Includes best practices for secret management (Vault, AWS, GCP) and implementing environment guards.

This comprehensive guide provides advanced strategies for optimizing throughput and reducing latency when interacting with the ClickUp API v2. Key techniques covered include implementing cache hierarchies, efficient asynchronous pagination, connection pooling, and rate limit adherence. Essential for building scalable and reliable automated integrations.

A comprehensive guide to securing ClickUp API usage. Learn best practices for managing API tokens, implementing least-privilege access, and auditing usage patterns. This includes secure token rotation procedures, using environment variables, setting up pre-commit hooks to prevent leaks, and structuring calls for robust audit logging.

This guide details how to use sophisticated coding agents (such as Codex, Claude Code, or Pi) through a structured bash workflow. It provides methods for complex development tasks, including building new features, refactoring large codebases, and reviewing pull requests (PRs). Key best practices covered include managing pseudo-terminals (PTY), defining focused working directories (`workdir`), and executing tasks in the background for robust, multi-step automation.