Skill UI

A comprehensive guide for creating, updating, refactoring, and reviewing solutions built on the Microsoft Agent Framework. This skill provides unified best practices for both .NET and Python environments, serving as a modern successor to Semantic Kernel and AutoGen. It emphasizes adherence to the latest official documentation, async patterns, robust error handling, and structured agent/workflow orchestration for complex AI applications.

Analyzes PostgreSQL snippets or entire projects to flag anti-patterns, enforce best practices, optimize JSONB/array usage, schema design, custom types, triggers, extensions, and security policies like RLS.

Guides Python authors from commit to release with end-to-end steps for structuring src layouts, choosing setuptools/hatchling/flit/poetry backends, enforcing SOLID+type-hinting patterns, orchestrating lint/test/CI, managing PEP 440 semantics, and publishing trusted releases to PyPI.

This skill systematically reviews test code to identify and correct common anti-patterns. It detects issues such as flaky tests, overly mocked dependencies (over-mocking), brittle assertions, excessive test size (The Giant), and structural dependencies. It explains the flaw, provides best practices, and suggests refactored, reliable implementations, helping maintain high test quality and stability.

This guide identifies and corrects the most common programming mistakes and anti-patterns when integrating with Adobe APIs. It covers critical topics such as migrating from deprecated JWT to OAuth, implementing token caching, handling asynchronous job polling, and secure file uploads. Essential reading for building robust, production-ready Adobe integrations.

A comprehensive resource detailing common anti-patterns and critical mistakes when integrating with the Canva Connect API. This guide covers essential best practices, including robust token management, handling rate limits, implementing asynchronous workflows, and securing webhooks. Ideal for developers conducting code reviews, onboarding new team members, or auditing existing Canva-related integrations.

This comprehensive guide details the ten most common mistakes and anti-patterns encountered when integrating with the Figma REST and Plugin APIs. It covers critical topics such as preventing oversized data fetches, managing rate limits, securing tokens, handling color format conversions, and optimizing data sync using webhooks instead of polling. Essential for code reviews and onboarding. Use when reviewing Figma code, onboarding new developers, or auditing an existing Figma integration.

A comprehensive guide to identifying and avoiding common anti-patterns and mistakes when interacting with the HubSpot API. Covers critical areas such as modern authentication (access tokens), batch operations, handling rate limits, association setup, and proper data retrieval, ensuring robust and scalable CRM integrations.

This comprehensive skill guide provides deep insight into Oracle Cloud Infrastructure (OCI) IAM policy syntax and best practices. It covers the privilege verb hierarchy (inspect, read, use, manage), the correct structure for policy statements, and common patterns for granting least-privilege access across various compartments. Use this when developing automation scripts, setting up complex access control policies, or performing security audits in OCI.

A comprehensive, step-by-step guide demonstrating how to interact with Palantir Foundry using the official Python SDK. This example covers listing ontologies, querying object types, retrieving single records by primary key, reading datasets, and applying business actions, making it ideal for developers starting a new Foundry integration or learning core API patterns.

A comprehensive guide for executing major Palantir Foundry migrations. It covers data migration (bulk and incremental sync), API version upgrades, and re-platforming using advanced patterns like the Strangler Fig pattern. Use this when transitioning data from legacy systems into Foundry or upgrading existing platform integrations.

This guide provides production-ready patterns for integrating with the Palantir Foundry Platform SDK. It covers essential best practices like implementing thread-safe singletons, structured error handling, automatic pagination for large data sets, and robust retry mechanisms with exponential backoff. Ideal for refactoring existing Foundry integrations or establishing team coding standards.