Skill UI

This guide provides a structured methodology for handling code review feedback. It teaches developers how to move beyond superficial agreement, prioritize technical verification, ask clarifying questions, and implement changes systematically. It emphasizes rigorous technical assessment over social comfort, ensuring technical correctness is always the priority.

Dispatch a code review sub-agent to validate work quality before merging or completing tasks. This skill ensures issues are caught early, preventing bugs from spreading. It involves preparing git SHAs, using specific templates, and handling feedback from the review agent to maintain code quality and architectural integrity.

The Paperzilla skill provides direct command-line access to interact with Paperzilla data. Users can fetch the latest research recommendations, summarize canonical papers in markdown format, view project feeds, leave feedback, and export data in various formats (JSON, Atom). It is essential for researchers needing structured insights into academic projects and literature.

A comprehensive coach designed to elevate all aspects of human communication. This skill covers public speaking techniques, persuasive presentation design, impactful storytelling, active listening, and professional written communication (emails, reports). It emphasizes theory combined with mandatory, structured practice and actionable feedback, helping users navigate various contexts, from board pitches to difficult conversations, while accounting for cultural communication norms.

Interactive technical design quality review tool that validates design documents against requirements, identifies critical issues, and provides GO/NO-GO decisions with actionable feedback for implementation readiness. Supports multi-agent parallel research and follows structured review process.

A comprehensive guide and implementation for configuring the CI/CD pipeline for AppFolio property management APIs. It utilizes a two-tier testing strategy: fast, mocked unit tests for quick feedback, and slower integration tests running against the AppFolio sandbox environment on main branch merges. This ensures robust validation of API interactions and prevents contract drift before production.

This skill provides a comprehensive framework for conducting high-quality code reviews. It guides developers through checking code across four critical dimensions: Correctness (functional accuracy and edge cases), Maintainability (readability and documentation), Performance (efficiency and resource usage), and Security (input validation and vulnerability management). It also emphasizes providing actionable, constructive, and empathetic feedback.

Use this skill to easily submit feedback, report bugs, or provide suggestions for the Nexu platform. Simply use `/feedback <message>` in the chat. The system automatically gathers the conversation history and any attached images, ensuring comprehensive and convenient reporting without manual copying or pasting.

A comprehensive workflow for developing and testing financial applications integrated with Fondo. It enables developers to simulate or parse real Fondo exports (CSV/Accounting tools) locally, providing a fast feedback loop for building dashboards, calculating R&D credits, and analyzing burn rates without relying on live API connectivity. Supports mock data for rapid iteration and real export parsing for production validation.

A comprehensive development workflow solution for integrating with the Glean enterprise search API. It enables developers to simulate local search responses, mock data sources, and test custom connectors and UIs without needing a live Glean deployment. Users can toggle between mock mode for rapid iteration and sandbox mode for validation against a real Glean instance, ensuring a fast feedback loop for building robust enterprise search applications.

This skill provides integration with Grammarly's Writing Score API, enabling applications to automatically score documents. It evaluates writing quality across four dimensions: engagement, correctness, clarity, and tone. Use this when building content quality assurance features, implementing quality gates, or providing detailed, multi-dimensional feedback on written content.

This guide covers advanced retrieval strategies that significantly boost search quality beyond basic vector similarity search. Techniques include Hybrid Search (combining dense and sparse indexing), Reranking (improving result order), Relevance Feedback (guiding search with iterative user scores), and Maximal Marginal Relevance (MMR) for diversity. Use these methods when standard search results lack relevance, miss critical keywords, or exhibit poor precision.