Skill UI

This skill orchestrates complex, behavior-preserving code refactoring. It is designed to improve code structure—such as extracting modules, eliminating duplication, or reducing nesting—without changing the core functionality. The process follows a rigorous, multi-phase gate system, ensuring existing tests remain green throughout the entire development lifecycle, culminating in a behavior-neutral commit.

This skill provides comprehensive capabilities for executing, monitoring, and managing the lifecycle of workflows. It supports both structured MCP workflow management (execute, pause, resume, cancel) and invoking/resuming native JavaScript workflows defined in the `.claude/workflows/` directory. Use it to orchestrate complex, multi-step processes, including sequential, parallel, and conditional logic.

This guide assists developers in creating a systematic QA plan for RevenueCat integration. It provides a structured approach to verifying the entire subscription lifecycle, including initial purchases, renewal, upgrades, and cancellations. The core principle is linking tests to specific, verifiable dashboard signals, ensuring robust and reliable in-app monetization setups.

Provides a structured, multi-step workflow for addressing and fixing GitHub issues. This skill guides the user through the entire development lifecycle: understanding the bug, researching context, planning changes, implementing code, rigorous testing, and finally submitting a polished Pull Request using GitHub CLI commands.

A comprehensive guide for bringing RuView CSI sensing nodes (ESP32-S3/C6) online. This skill covers the full lifecycle: building the embedded firmware, flashing the device, provisioning WiFi credentials, and confirming the Continuous Sensing Image (CSI) data stream. Essential for physical hardware deployment and debugging of complex sensing systems.

A comprehensive guide detailing the entire model lifecycle for RuView. It supports multiple advanced tracking methods including camera-free pose estimation (WiFlow), camera-supervised methods using MediaPipe, robust contrastive embeddings (RuVector), and domain generalization (MERIDIAN). Covers training, evaluation, and deployment across local GPU and cloud platforms.

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.

This skill guides users through connecting external services, proprietary APIs, or custom tools to the Digital Marketing Pro plugin. It manages the entire integration lifecycle: searching the npm registry for pre-built packages, generating complex MCP JSON configurations, handling environment variables, and executing connectivity tests. Essential for expanding plugin functionality with external data sources like CRM, payment gateways, or specialized analytics platforms.

A comprehensive skill designed to orchestrate the entire marketing campaign lifecycle. This module guides the user through every stage: initial campaign planning, defining objectives, allocating budgets (using models like 70/20/10), optimizing channel mix, developing detailed media plans, setting up UTM tracking, coordinating cross-channel messaging, and performing detailed post-campaign performance analysis (post-mortem). Ideal for structured marketing strategy execution.

This tool performs deep customer cohort analysis to understand retention patterns, lifetime value (LTV), and the long-term impact of various acquisition channels and initial behaviors. Users can segment customers by time, source, or revenue tier to identify high-value groups, optimize onboarding, and improve overall customer retention strategies. Ideal for SaaS, eCommerce, and B2B businesses tracking customer lifecycle.

This tool assesses creative fatigue across all active advertising channels. It scores creatives based on multiple decline signals (CTR, CPM, engagement, frequency) to predict when performance will drop. It generates actionable refresh briefs, recommends specific changes, and creates structured A/B test plans to maximize ad spend and maintain campaign performance throughout the entire creative lifecycle.

This skill orchestrates the complete marketing engagement lifecycle using a proven 12-Part sequential methodology. It manages the entire project state, allowing users to start, advance parts, apply decision matrices, and resume interrupted workflows seamlessly via robust checkpointing protocols. Ideal for structured brand development and content planning.