Skill UI

This is an advanced, structured workflow designed to conduct deep, multi-source investigations. It synthesizes current public evidence with user-provided context to generate highly structured reports. The workflow explicitly differentiates between verifiable facts, user-supplied evidence, logical inferences, and actionable recommendations, making it ideal for complex comparative analysis or continuous monitoring tasks.

This skill acts as an expert design system guideline author for the Roku brand. It provides structured, implementation-ready guidance covering style foundations, component anatomy, accessibility (WCAG 2.2 AA), and advanced authoring workflows. It ensures consistent, developer-first UX/UI design principles for modern dashboards.

A structured workflow designed to prevent 'reinventing the wheel.' Before writing custom code, this skill guides the user through analyzing needs, conducting parallel searches across multiple channels (npm, PyPI, GitHub, MCP), evaluating candidate solutions based on maintainability and community support, and making a decision (Adopt, Extend, or Custom Build). It ensures that solutions leverage existing, proven libraries and patterns.

A comprehensive tool for managing and checkpointing agent sessions. It allows users to save the entire operational state, including memory, configuration, and task progress, across multiple conversations. Essential for long-running tasks, complex workflows, or when needing to pause and resume work seamlessly with full context preservation.

This tool assesses whether coding agents adhere to defined skills, rules, or agent definitions. It automatically generates scenarios with varying prompt strictness, executes the agent, and generates a comprehensive report detailing the compliance rate of tool calls against predefined workflow specifications using advanced LLM classification.

Skill Scout is a crucial pre-creation workflow designed to prevent the duplication of effort. Before building a new skill, it systematically searches local, marketplace, GitHub, and web sources. It not only finds potential matches but also rigorously vets them for security, maintenance status, and relevance, providing the user with clear options: Use Existing, Fork/Extend, or Create New.

A comprehensive, agent-driven tool for scheduling and publishing content across multiple social media platforms. It centralizes publishing workflows for 13 major providers, including X, LinkedIn, Instagram, TikTok, and more. Users can manage multi-platform campaigns, upload media assets, validate post schedules, and monitor real-time delivery status from a single workspace.

This comprehensive guide details the complete Test-Driven Development (TDD) workflow for Spring Boot applications. It covers best practices for writing unit tests (JUnit 5, Mockito), web layer tests (MockMvc), integration tests (SpringBootTest), and persistence tests (DataJpaTest). It also instructs how to use Testcontainers for realistic database simulations and achieve high code coverage with JaCoCo, ensuring robust and maintainable codebases.

This expert skill generates comprehensive, implementation-ready documentation for the Stitch design system. It covers style foundations, semantic tokens, component anatomy, accessibility requirements (WCAG 2.2 AA), and content standards. Ideal for ensuring visual consistency and creating robust, enterprise-grade user experiences across data-driven applications and AI workflows.

Suggests when to manually run /compact at logical workflow boundaries instead of relying on automatic compaction, helping preserve context after research, milestones, or task shifts.

This tool initializes a structured, anti-drift multi-agent swarm environment. It is designed for coordinating complex, multi-file software development tasks, such as implementing new features, performing cross-module refactoring, or conducting security audits, requiring coordination among three or more specialized agents. It supports various topologies (hierarchical, mesh, etc.) to manage safe and parallel workstreams.

This skill automates the Test-Driven Development (TDD) repair loop. Given a failing unit test, it spawns a bounded, headless LLM agent to automatically modify the source code until the test passes. It closes the development loop by treating the test's pass/fail status as the definitive fitness function, ideal for CI failure triage and local TDD workflows.