Skill UI

Provides a comprehensive guide to diagnosing and fixing common API errors encountered when integrating with Apollo.io. Covers specific HTTP status codes (401, 403, 429, 422), addressing issues like invalid API keys, insufficient permissions (Master vs Standard keys), rate limiting, and request validation failures. Essential for robust API development and debugging.

This guide provides a comprehensive method for optimizing CodeRabbit's review process, focusing on improving speed, relevance, and the signal-to-noise ratio. Learn best practices for managing PR size, selecting the right review profile (e.g., 'assertive' vs. 'chill'), using path instructions to guide feedback, and filtering out low-value files. Ideal for teams looking to reduce review fatigue and ensure consistent code quality checks.

A comprehensive guide for integrating and managing VS Code extensions within the Cursor IDE environment. This resource details the transition from the Microsoft Marketplace to the Open VSX Registry, covering installation methods (in-app, VSIX, CLI), conflict resolution with advanced AI features (e.g., Copilot, TabNine), and best practices for ensuring optimal performance and recommended extension stacks for various languages like Python, JavaScript, and Go.

A comprehensive guide detailing the installation, setup, and authentication process for Cursor IDE across macOS, Linux, and Windows. It covers account sign-in, plan activation, and the seamless migration of settings and extensions from VS Code, ensuring a fully configured development environment.

A comprehensive guide covering how to upgrade Cursor IDE versions, migrate settings and configurations from VS Code, and reliably transfer your entire development environment between different machines. Includes steps for auto-update, manual installation, and handling breaking changes.

A comprehensive guide to setting up a fast, isolated local development loop for data engineering projects using Databricks Connect v2, Asset Bundles, and standard IDEs (like VS Code). This workflow allows developers to run PySpark code locally for debugging and unit testing, while managing resource deployment and ensuring consistency across development, staging, and production environments.

A comprehensive guide detailing security best practices for integrating with Lokalise. Covers strategies for managing API token scopes (read-only vs. read-write), enforcing the principle of least privilege, validating translated content for XSS or credential leakage, verifying webhook secrets, and securing CI/CD pipelines against hardcoded secrets. Essential for developers and DevOps engineers.

Guides writing Python code inside n8n Code nodes, covering recommended use cases, helper data access patterns, Beta vs Native modes, and webhook/data handling rules so you can safely script workflow transformations with Python.

This skill provides comprehensive methods for implementing intelligent model routing using the OpenRouter API. It allows developers to dynamically select the optimal Large Language Model (LLM) based on specific criteria: task complexity (e.g., classification, code generation), required capability (e.g., deep reasoning vs. simple Q&A), cost budget, and latency tolerance. Implement cost-aware, task-based, and complexity-based routing to maximize system efficiency and minimize operational expenses when building multi-model applications.

Showcases modern Python practices, covering strict 3.12 type hints, dataclasses vs Pydantic decisions, asyncio/httpx patterns, src-layout projects, pyproject tool configs, virtual env workflows, and pytest guidance for reliable codebases.

A specialized skill for conducting comprehensive security audits. It identifies vulnerabilities in code, infrastructure, and dependencies, generating structured reports with severity ratings (CVSS) and detailed remediation guidance. Ideal for SAST scans, penetration testing, DevSecOps pipelines, and compliance checks.

This skill implements a robust, multi-layered security hardening process based on the Defense-in-Depth strategy and DevSecOps principles. It coordinates specialized agents to perform comprehensive security assessments (SAST, DAST, SBOM, Threat Modeling), identify critical vulnerabilities, and execute layered remediation. The process covers application code, backend APIs, frontend components, and mobile platforms, ensuring a resilient security posture across the entire development lifecycle.