Skill UI

A comprehensive guide for configuring and managing Claude API access across disparate environments (Development, Staging, Production). This skill details how to implement isolated API keys, model selection strategies, and crucial spend controls using Anthropic Workspaces, ensuring secure and reliable deployment pipelines for AI applications.

Configure robust CI/CD pipelines for Apify Actor builds and deployments using GitHub Actions. This guide covers setting up unit tests on pull requests, running deep integration tests against the live Apify API, and automating the production deployment process upon merge. Ideal for maintaining reliable, high-quality scraping and automation projects.

A comprehensive diagnostic reference for resolving common technical failures encountered when running web scraping and automation tasks on the Apify platform. Covers issues such as Actor run failures, API rate limits (429), authentication errors (401), anti-bot blocks, and memory allocation issues, providing structured fixes and best practices for robust scraping pipelines.

Provides comprehensive programmatic control over Apify's core data infrastructure, including Datasets, Key-Value Stores, and Request Queues. This skill allows users to perform CRUD operations on various storage types, manage data persistence, and orchestrate complex, multi-stage data pipelines (e.g., scrape -> transform -> export). Ideal for building robust, end-to-end web scraping and data processing automation workflows.

This comprehensive guide outlines essential security best practices for users operating within the Apify ecosystem. Learn how to properly manage API tokens, implement environment separation (dev/staging/prod), secure proxy credentials, and sanitize sensitive data (PII) before storage. Essential for hardening data pipelines and ensuring compliance.

Configure comprehensive CI/CD pipelines for BambooHR integrations. This skill guides users through setting up automated testing (unit and integration), managing secrets using GitHub Actions, and ensuring robust API health checks within their development workflow.

A comprehensive workflow for managing employee lifecycles within BambooHR. This skill enables CRUD operations (Create, Read, Update, Delete) on employee records, synchronizing directory data to external systems, generating custom reports, and interacting with structured tables like job history and compensation. Ideal for building robust HR data pipelines and integrating HR data into external applications.

A comprehensive, production-grade reference architecture for integrating with BambooHR HR data. It covers core patterns like real-time employee synchronization, scheduled data pipelines, and event-driven webhook handling. Use this when designing complex HR systems, building robust integrations, or establishing architectural standards for BambooHR-powered applications.

A comprehensive guide detailing five robust architectural patterns for building applications powered by Claude, including Chatbot, RAG, Agent, Content Pipeline, and Evaluation. It provides complete code examples and decision matrices to help developers select the optimal architecture based on project requirements, cost, and complexity.

Automate the testing and validation of Clari export pipelines within a Continuous Integration/Continuous Deployment (CI/CD) environment. This tool helps developers ensure API connectivity, validate export schemas, and systematically test the reliability of Clari integrations, preventing deployment issues before they reach production.

A comprehensive workflow designed to build deep revenue analytics dashboards using exported Clari data. It calculates key metrics such as forecast accuracy, pipeline coverage ratios, and tracks representative performance changes. Ideal for financial analysts and sales managers needing to assess revenue health and forecast reliability.

This guide provides advanced methods to significantly boost Clari API performance and data pipeline efficiency. It covers parallelizing multi-period data exports using Python's concurrency features, implementing a robust local caching mechanism with Time-To-Live (TTL), and optimizing data warehouse loading using SQL MERGE statements. Use this when facing slow exports, high API call volume, or requiring fast data synchronization in multi-forecast environments.