Skill UI

A comprehensive workflow designed for Product Managers and technical leads to systematically identify, prioritize, and document missing features in a software project. It guides users through project understanding, gap analysis, applying a scoring matrix for prioritization, developing detailed Minimum Viable Product (MVP) specifications, and structuring the output as actionable development issues (e.g., GitHub Issues) with dependency mapping and workload optimization.

This skill provides comprehensive capabilities for managing the entire issue lifecycle on GitHub. Users can create structured bug reports, feature requests, and tasks, and also read, list, and update existing issues. It supports setting labels, assigning owners, managing milestones, and tracking complex dependencies. Ideal for engineering teams needing robust project backlog management.

This tool provides comprehensive automation for core GitLab operations, streamlining the entire development lifecycle. Users can manage projects, track issues, review merge requests, manage branches, and monitor CI/CD pipelines. It leverages a unified API interface to handle complex workflows, ensuring efficiency in version control and collaborative development environments.

A lightweight, standalone integration for Google Drive that provides full read/write access without requiring a dedicated MCP server. It allows scripts to perform comprehensive file and folder operations, including searching, uploading, downloading, moving, renaming, and managing content within a Google Workspace account. Ideal for automating workflow tasks that depend on Google Drive data.

This comprehensive tool automates nearly every aspect of Google Sheets management. Users can programmatically read, write, update, and append data across multiple ranges. Key functionalities include creating new spreadsheets, managing tabs (renaming, hiding), applying cell formatting, filtering data, performing lookups, and performing 'upsert' operations (update or insert records based on a unique key). Ideal for integrating spreadsheet data into automated workflows.

A comprehensive framework for structuring meetings, defining metric reporting, and managing decision-making velocity in rapidly scaling companies. It addresses common growth pains like misalignment, ineffective leadership meetings, and slow planning cycles by establishing a five-level meeting architecture and weekly health dashboards. Ideal for companies transitioning from startup to enterprise stage.

A comprehensive guide for founders and product managers on developing robust pricing strategies for technical SaaS products. Learn when to use usage-based, seat-based, or outcome-based models. It also provides frameworks for calculating value ratios, assessing alternative costs, and setting optimal freemium thresholds to maximize revenue and adoption.

This skill teaches users to apply the scientific method to software debugging. Instead of random changes, it guides the process through five steps: Observation, Hypothesizing, Prediction, Testing, and Analysis. By systematically forming and testing specific, measurable hypotheses, users can efficiently isolate failing components and confirm the true root cause of technical issues.

A comprehensive workflow for discovering, integrating, and utilizing third-party APIs and SDKs. This skill guides the process by first detecting the project language, ensuring necessary guidelines and skills are present, systematically fetching API details, and providing structured guidance on authentication, model usage, and endpoint implementation. It tracks integration progress by recording specific development milestones (e.g., SDK setup, first call made).

This guide outlines comprehensive best practices for documenting Java code using Javadoc comments. It covers how to properly document public, protected, package-private, and private members, along with the correct usage of various tags like @param, @return, @throws, @see, and specialized syntax for code snippets and versioning. Following these standards ensures API documentation is accurate, maintainable, and adheres to professional Java development norms.

This guide provides comprehensive best practices for writing robust and effective unit tests using JUnit 5 in Java. It covers standard test structures (Arrange-Act-Assert), advanced data-driven testing using parameterized methods, best assertion practices (including AssertJ), and dependency isolation using mocking frameworks like Mockito. Ideal for developers aiming to improve code coverage and test reliability.

This utility automates the creation of a complete, production-ready Model Context Protocol (MCP) server project using Java. It generates full source code templates, including configuration, tool handling, resource definitions, and prompt logic. The generator provides robust setup for both Maven and Gradle, ensuring the resulting backend service is structured, scalable, and ready for deployment with support for reactive streams and optional Spring Boot integration.