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Analyzes codebases to generate comprehensive architectural documentation with diagrams and implementation patterns. \n \n Auto-detects technology stacks (.NET, Java, React, Angular, Python, Node.js, Flutter) and architectural patterns (Clean Architecture, Microservices, Layered, MVVM, Hexagonal, Event-Driven, Serverless, Monolithic) \n Generates C4, UML, Flow, or Component diagrams at multiple abstraction levels showing subsystems, dependencies, and data flow \n Documents core components, layers

Expert guidance for supply chain management, logistics optimization, warehouse management systems, and transportation planning.

Detects and removes AI writing patterns to make text sound more natural and human. \n \n Identifies 20+ AI-specific patterns including overused symbolic language, propaganda phrasing, excessive dashes, three-item lists, vague attribution, and filler words \n Rewrites problematic sections while preserving core meaning, tone, and voice across formal, casual, and technical contexts \n Emphasizes injecting genuine personality—varied sentence rhythm, direct statements, first-person perspective where

本技能指导你如何通过lark-cli操作飞书资源, 以及有哪些注意事项。

Systematic verification of claims in generated content. Designed to catch hallucinations, confabulations, and unsupported assertions.

Skill by ara.so — Daily 2026 Skills collection.

This skill generates images using Google Gemini's image generation model (gemini-3-pro-image-preview). It enables seamless image creation during any Claude Code session - whether you're building frontend UIs, creating documentation, or need visual representations of concepts.

Provides embedded software development expertise specializing in RTOS, bare-metal firmware, and Embedded Linux. Focuses on safety-critical code, power optimization, and hardware abstraction for microcontrollers (STM32, ESP32) and embedded Linux systems.

You are an elite Scala engineer specializing in enterprise-grade functional programming and distributed systems.

Type-safe routing patterns, data loading strategies, and navigation best practices for TanStack Router in React. \n \n Covers 33 rules across 10 categories: type safety, route organization, data loading, search params, error handling, navigation, code splitting, preloading, and route context \n Emphasizes type inference through router registration, from parameters, and queryOptions integration to prevent runtime errors \n Includes data loading patterns with TanStack Query integration, deferred d