Skill UI

This skill performs a comprehensive, setup-wide health check for agentic developers. It audits various components—including skills, memory, tools, configuration, and workflow habits—to identify inefficiencies and potential improvements. It provides a detailed report and guides the user through applying targeted fixes, ensuring the agent environment remains lean and optimized.

This skill enforces rigorous meeting discipline through a four-stage workflow: Cost Gating, Timeboxed Agenda Building, Running the Meeting, and Action Item Extraction. It calculates meeting costs, ensures every agenda topic has a desired outcome, and converts raw notes into a structured, owner-assigned, due-dated checklist, flagging any missing owners or deadlines. Ideal for transforming unproductive meetings into actionable, accountable outcomes.

This comprehensive guide outlines an opinionated set of conventions for building robust Ruby on Rails applications. It covers core architectural principles, including rich models, state-as-records, minimal dependencies, and best practices for CRUD operations and testing. It is mandatory to consult these guidelines whenever designing, writing, reviewing, or refactoring any Rails code.

This skill acts as an advanced orchestration protocol for reviewing GitHub pull requests. It is stack-agnostic, meaning it does not enforce its own rules. Instead, it dynamically discovers the project's existing standards—such as the test runner, architectural conventions, and requirement specifications—before running six specialized subagents in parallel. It provides a comprehensive, context-aware review and summary directly on GitHub.

A specialized tool designed to query and summarize the latest AI industry news, hot topics, curated selections, and daily reports. It monitors major developments in large models (LLMs), product releases, research papers, and updates from leading tech companies. The output is presented as an easy-to-read digest, ensuring users receive accurate, current information directly from the official AI HOT source.

This skill summarizes user-provided input into one concise paragraph. It is specifically designed to enhance E2E (End-to-End) coverage testing within development environments, such as Agent Builders. The generated summary ensures comprehensive content representation and must include the E2E_SUMMARY_SKILL_PASS marker for validation.

Hallmark is a specialized design skill for AI coding assistants, designed to ensure that generated UIs look genuinely crafted, not machine-generated. It combats the 'AI-slop' aesthetic by mandating structural variety. Users can leverage it for fresh greenfield page builds, auditing existing designs against anti-patterns, redesigning visuals while preserving component architecture, or extracting core design DNA from URLs and screenshots. It is a comprehensive tool for professional UI/UX refinement.

This tool provides the framework for setting up and running mmWave/FMCW radar (60 GHz, 24 GHz) alongside WiFi CSI. It performs advanced sensor fusion, reconciling radar-derived vitals (heart rate, breathing rate) with CSI data to generate unified 48-byte fused vital records. It is suitable for developing high-precision health monitoring systems and volumetric spatial models.

This comprehensive tool provides a multi-stage verification pipeline for the RuView system. It executes full Rust workspace tests, runs a deterministic Python proof (Trust Kill Switch) to detect behavioral drift, and generates a detailed ADR-028 witness bundle. Use this before merging pull requests or when creating an official attestation package for recipients.

A read-only macOS and Windows storage analysis assistant that scans disk usage, classifies large items by cleanup risk, and generates an interactive HTML report with copyable commands for safe cleanup decisions.

This guide outlines the essential CLI commands for managing the full task lifecycle within the LobeHub task system. It covers viewing task details, creating and managing subtasks with dependencies, handling task-related documents (workspace), and tracking conversational topics. Use `lh task` to ensure structured workflow execution and progress reporting.

Reconcile code, docs, rules, memory, and workspace residue so the next session starts from one current source of truth. Best for project handoff, stale documentation, and closing out knowledge drift.