Skill UI

This skill provides a comprehensive, structured workflow for diagnosing performance bottlenecks in SwiftUI applications. It guides users through a code-first review to detect common issues like invalidation storms, layout thrash, or heavy main-thread work. When code review is insufficient, it provides detailed guidance on collecting runtime evidence using Instruments, enabling precise root cause analysis and targeted remediation strategies.

Extracts business domain knowledge from a codebase, optionally reusing an existing knowledge graph, and generates an interactive horizontal flow graph for dashboard visualization, with lightweight scanning and validation steps.

Guides creation of persona-targeted VS Code CodeTour .tour files, covering repo exploration, intent inference, step composition, and validation so each narrative walkthrough is anchored to real files and tailored depth.

A placeholder skill entry that explains the lack of a YAML frontmatter, useful for tracking or validation workflows that detect missing metadata.

Defines a systematic, multi-phase research methodology that prioritizes broad exploration, targeted deep dives, and validation before initiating any content generation, ensuring reliable, multi-angle web intelligence.

A comprehensive expert guide for utilizing the n8n-mcp toolset. This resource covers essential workflows for node discovery, configuration validation, and complex workflow management. It provides detailed guidance on tool selection, parameter formats, and best practices to master advanced automation development within n8n.

A comprehensive guide for interpreting, diagnosing, and fixing validation errors within n8n workflows. It covers error severity levels (Errors, Warnings, Suggestions), details common error types (e.g., missing_required, type_mismatch), and explains the iterative validation process. Learn how to use different validation profiles (minimal, runtime, strict) to ensure robust and functional automated workflows.

A comprehensive guide and workflow for identifying behavioral risks when migrating applications from Oracle to PostgreSQL. It cross-references code against known differences in complex areas such as empty strings, refcursors, type coercion, sorting, and concurrent transaction handling. Essential for both pre-migration architectural planning and post-migration validation testing.

A comprehensive guide detailing best practices for building, reviewing, and deploying Salesforce Flows. This skill covers selecting the correct Flow type (e.g., Screen, After-Save), ensuring bulk safety by preventing DML/SOQL in loops, implementing robust fault handling paths, and performing automation density checks to ensure scalable and resilient automation.

This skill safely randomizes the order of repetitive JSON objects within an array without corrupting the data or breaking the JSON syntax. It acts as a data engineer, rigorously validating the input schema (checking for property consistency and lack of nesting) before performing the shuffle. It ensures data integrity is maintained while reordering records, making it ideal for testing, simulation, or data preparation workflows.

Guides CentOS experts through RHEL-aligned diagnostics using systemctl, journalctl, dnf/yum plus SELinux/firewalld checks, offering remediation, validation, and rollback commands.

Provides an end-to-end kit for building Microsoft 365 Copilot declarative agents across basic, enterprise, and validation workflows, with TypeSpec definitions, JSON schema validation, and Agents Toolkit integration for planning, testing, deployment, and optimization.