Skill UI

Provides structured ADR patterns, templates, and practices for capturing significant architectural decisions, rationale, tradeoffs, and lifecycle status to onboard teams and review historical choices.

This skill simulates a Principal Software Architect, specializing in designing, reviewing, and documenting high-level system architectures. It guides users through defining core system structures, evaluating complex technology trade-offs (e.g., ACID vs. eventual consistency), and planning for extreme scalability. Key outputs include comprehensive architecture diagrams (Mermaid) and formal Architecture Decision Records (ADRs), ensuring every major technical choice is documented with rationale and consequences.

This skill automatically generates comprehensive and highly structured Pull Request (PR) descriptions directly from Git diffs. It goes beyond simple summaries by automatically adding detailed change categories (e.g., source, test, config), security risk assessments, and required review checklists based on the modified file types. Use this when submitting complex code changes or when the diff is large and requires explicit structure for thorough review.

This tool integrates advanced AI capabilities into the entire Git lifecycle within the IDE. It assists developers by automatically generating standardized commit messages from staged diffs, providing deep code review using the @Git context (checking for vulnerabilities, missing handling), and offering systematic guidance for resolving complex merge conflicts. It streamlines version control and elevates code quality.

Provides a practical checklist and principles for designing database schemas, indexing strategies, query optimization, and migration planning for both SQL and NoSQL systems, plus guidance on spotting and fixing N+1 issues and denormalization trade-offs.

Guides engineers through selecting software architecture patterns, structuring projects, and documenting trade-offs via checklists, decision frameworks, and validation steps for system design conversations or new projects.

Performs security-focused differential review of PRs, commits, and diffs, adapting depth to repo size, tracing git history, estimating blast radius, checking coverage, and producing detailed markdown reports to stop regressions.

This skill provides deep web scraping capabilities, allowing users to extract complex content, take screenshots, and parse PDFs from web pages. It handles advanced interactions like clicking and scrolling, making it ideal for detailed data gathering, batch URL processing, and complex web content analysis.

HuggingFace Accelerate adds distributed support to any PyTorch script with just four lines, providing a unified API for DDP, DeepSpeed, FSDP, and Megatron, plus automatic device placement, mixed precision, and simple launch/config commands for fast prototyping.

This comprehensive guide provides strategies for optimizing video generation using Kling AI. It covers the crucial trade-offs between speed, quality, and cost by selecting the optimal model and parameters. Techniques detailed include performance benchmarking, implementing connection pooling, advanced caching strategies, and prompt engineering best practices to ensure efficient and high-quality outputs for any production use case.

A comprehensive guide for developers upgrading the Lokalise Node.js SDK across major versions (e.g., v8 CommonJS to v9 ESM). This skill detects and resolves breaking changes, including module system shifts (require to import), updating package configurations, and modernizing pagination from offset to cursor-based methods, ensuring smooth API integration.

This skill provides comprehensive guides and code templates for implementing major NFT standards, including ERC-721 and ERC-1155. It covers best practices for metadata (on-chain and IPFS), managing token supply, implementing complex features like royalties, and building various types of digital collectibles and gaming assets on the blockchain.