Skill UI

This comprehensive guide details the architecture of memory for intelligent agents. It covers the distinction between short-term context, long-term vector storage, and advanced cognitive models (CoALA framework: semantic, episodic, procedural). Learn how to implement robust memory retrieval mechanisms, select appropriate vector databases (Pinecone, Qdrant, etc.), and utilize embedding models to build truly context-aware, persistent AI applications.

This skill guides the definition of comprehensive API contracts, serving as the shared interface specification between backend and frontend services. It covers defining request/response schemas, endpoint routes, TypeScript interfaces, and standardized error handling. Use it when establishing, modifying, or documenting the interaction points between different system components to ensure seamless integration and type consistency.

This skill guides the definition of comprehensive API contracts, serving as the shared interface specification between backend and frontend services. It covers defining request/response schemas, endpoint routes, TypeScript interfaces, and standardized error handling. Use it when establishing, modifying, or documenting the interaction points between different system components to ensure seamless integration and type consistency.

The API Design Reviewer provides comprehensive automated analysis of REST API designs using OpenAPI specifications. It performs linting for convention adherence, detects breaking changes between versions, and generates a design scorecard across consistency, security, and usability. Ideal for reviewing PRs, auditing API migrations, or establishing robust development standards.

A comprehensive utility designed to manage and automate the safe migration of applications using the Apollo.io API. It guides developers through auditing current API usage, identifying deprecated endpoints and authentication methods, and implementing feature-flagged changes. Key features include generating migration maps and running shadow tests for parallel comparison between old and new API versions, ensuring zero downtime during major system upgrades.

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, expert-level skill for designing, analyzing, and optimizing robust database schemas. It covers normalization, index tuning, choosing between SQL/NoSQL, and implementing zero-downtime data migrations. Provides systematic workflows for schema analysis, performance modeling, and advanced SQL pattern generation.

This skill guides the definition of relationships and integration contracts between distinct bounded contexts within a complex system using Domain-Driven Design (DDD) patterns. It is crucial for preventing domain leakage, planning anti-corruption layers (ACLs), and clarifying ownership boundaries when multiple services interact, ensuring a robust and scalable system architecture.

Detects discrepancies between current infrastructure and desired configurations by running drift-detect, helping DevOps teams ensure Terraform-managed environments stay consistent and report configuration differences.

A comprehensive skill for creating, editing, and automating vector graphics and technical diagrams using LibreOffice Draw. It supports the native ODG format and facilitates seamless format conversion between ODG, SVG, PDF, PNG, and JPG. Ideal for generating flowcharts, organizational charts, and technical schematics, and for batch processing graphics operations via command-line or Python UNO scripting.

This guide details how to configure a robust multi-environment setup for Evernote integrations. It ensures proper isolation and configuration management between development, staging, and production environments. Learn to use environment variables, build an environment-aware client factory, and set up CI/CD pipelines, ensuring reliable and secure API connectivity across all stages.

This guide identifies and avoids anti-patterns and common integration mistakes when working with Exa's neural search API. It covers crucial topics such as distinguishing between keyword and neural searches, properly retrieving content, handling date filters, and managing client instances. Use this when reviewing Exa-powered code, onboarding new team members, or auditing existing integrations for robustness and correctness.