Testing and QA

Use this skill when developing or debugging the Agentica-Claude proxy integration.

Guide for designing and implementing native-feeling, "good Mac citizen" apps: fast, elegant, accessible, and deeply integrated with macOS workflows.

Expert guidance and automation for Microsoft 365 Global Administrators managing tenant setup, user lifecycle, security policies, and organizational optimization.

Source details, install context, and public review data are available on the full page.

콘텐츠 → Quiz-First 학습 → 선택적 깊이 탐색 → 근본 개념 확장.

Master containerizing and deploying Node.js applications with Docker for consistent, portable deployments.

Never rely on "latest" or "current" when crossing process or async boundaries.

Go provides a robust built-in testing framework ( testing package) that emphasizes simplicity and developer productivity. Combined with community tools like testify and gomock, Go testing enables comprehensive test coverage with minimal boilerplate.

This skill covers using Qdrant as the storage backend for GrepAI, offering high-performance vector search.

Source details, install context, and public review data are available on the full page.

Search and discover existing Claude Code skills and MCP servers before building custom solutions.

Comprehensive guide to using Meta AI's Segment Anything Model for zero-shot image segmentation.

Status : Production Ready Last Updated : 2026-02-03 Scope : npm, pnpm, yarn projects

Source details, install context, and public review data are available on the full page.

Internal and external ISMS audit management for ISO 27001 compliance verification, security control assessment, and certification support.

Oracle bundles your prompt + selected files into one “one-shot” request so another model can answer with real repo context (API or browser automation). Treat output as advisory: verify against code + tests.

Source details, install context, and public review data are available on the full page.

Root cause analysis (RCA) identifies underlying reasons for failures, enabling permanent solutions rather than temporary fixes.

Source details, install context, and public review data are available on the full page.

A research-to-implement pipeline that chains 5 MCP tools for end-to-end workflows.

Source details, install context, and public review data are available on the full page.

Accurate project estimation determines realistic timelines, budgets, and resource allocation. Effective estimation combines historical data, expert judgment, and structured techniques to minimize surprises.

Quick reference for Python code quality tools: ruff (linting & formatting), ty (type checking).

Manage existing Railway deployments: list, view logs, redeploy, or remove.