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Testing strategies, patterns, and tools for robotics software. Use this skill when writing unit tests, integration tests, simulation tests, or hardware-in-the-loop tests for robot systems. Trigger whenever the user mentions testing ROS nodes, pytest with ROS, launch_testing, simulation testing, CI/CD for robotics, test fixtures for sensors, mock hardware, deterministic replay, regression testing for robot behaviors, or validating perception/planning/control pipelines. Also covers property-based testing for kinematics, fuzz testing for message handlers, and golden-file testing for trajectories.

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Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. Credits: Original skill by @blader - https://github.com/blader/humanizer

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AWS serverless and event-driven architecture expert based on Well-Architected Framework. Use when building serverless APIs, Lambda functions, REST APIs, microservices, or async workflows. Covers Lambda with TypeScript/Python, API Gateway (REST/HTTP), DynamoDB, Step Functions, EventBridge, SQS, SNS, and serverless patterns. Essential when user mentions serverless, Lambda, API Gateway, event-driven, async processing, queues, pub/sub, or wants to build scalable serverless applications with AWS best practices.

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Provides patterns for unit testing Spring Security with `@PreAuthorize`, `@Secured`, `@RolesAllowed`. Validates role-based access control and authorization policies. Use when testing security configurations and access control logic.

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Provides AWS CDK TypeScript patterns for defining, validating, and deploying AWS infrastructure as code. Use when creating CDK apps, stacks, and reusable constructs, modeling serverless or VPC-based architectures, applying IAM and encryption defaults, or testing and reviewing `cdk synth`, `cdk diff`, and `cdk deploy` changes. Triggers include "aws cdk typescript", "create cdk app", "cdk stack", "cdk construct", "cdk deploy", and "cdk test".

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Provides authentication implementation patterns for Next.js 15+ App Router using Auth.js 5 (NextAuth.js). Use when setting up authentication flows, implementing protected routes, managing sessions in Server Components and Server Actions, configuring OAuth providers, implementing role-based access control, or handling sign-in/sign-out flows in Next.js applications.

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Provides patterns to build declarative AI Services with LangChain4j for LLM integration, chatbot development, AI agent implementation, and conversational AI in Java. Generates type-safe AI services using interface-based patterns, annotations, memory management, and tools integration. Use when creating AI-powered Java applications with minimal boilerplate, implementing conversational AI with memory, or building AI agents with function calling.

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Provides comprehensive testing patterns for Spring Boot applications covering unit, integration, slice, and container-based testing with JUnit 5, Mockito, Testcontainers, and performance optimization. Use when writing tests, @Test methods, @MockBean mocks, or implementing test suites for Spring Boot applications.

日本語の概要は準備中です。原文の説明を表示しています。

Provides Qdrant vector database integration patterns with LangChain4j. Handles embedding storage, similarity search, and vector management for Java applications. Use when implementing vector-based retrieval for RAG systems, semantic search, or recommendation engines.

日本語の概要は準備中です。原文の説明を表示しています。

Provides distributed transaction patterns using the Saga Pattern for Spring Boot microservices. Use when implementing distributed transactions across services, handling compensating transactions, ensuring eventual consistency, or building choreography or orchestration-based sagas with Kafka, RabbitMQ, or Axon Framework.

日本語の概要は準備中です。原文の説明を表示しています。

Provides JWT authentication and authorization patterns for Spring Boot 3.5.x covering token generation with JJWT, Bearer/cookie authentication, database/OAuth2 integration, and RBAC/permission-based access control using Spring Security 6.x. Use when implementing authentication or authorization in Spring Boot applications.

日本語の概要は準備中です。原文の説明を表示しています。

Canonical rules for writing tests in the Shift codebase. Use whenever you add, rewrite, or review a `.test.ts` or `.spec.ts` file — or any time you're about to mock, stub, or spy your way around a testing problem. Covers TestEditor-based tests and desktop E2E tests driven through EditorDriver.

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Build a complete project management system with Telegram bot, task distribution, and photo reports using n8n. Based on DDC Project Management repository.

日本語の概要は準備中です。原文の説明を表示しています。

Word document generation for construction: contracts, proposals, reports, specifications, transmittals. Template-based with dynamic content insertion.

日本語の概要は準備中です。原文の説明を表示しています。

Generate safety toolbox talks for construction crews. Create contextual safety briefings based on weather, work activities, and recent incidents. Support multiple languages.

日本語の概要は準備中です。原文の説明を表示しています。

Build validation rules for construction data. Create RegEx and logic-based validation for BIM elements, cost codes, and schedule data.

日本語の概要は準備中です。原文の説明を表示しています。

Calculate construction costs using resource-based method. Estimate project costs from work items, physical resource norms, and current prices.

日本語の概要は準備中です。原文の説明を表示しています。

Detect anomalies and outliers in construction data: unusual costs, schedule variances, productivity spikes. Statistical and ML-based detection methods.

日本語の概要は準備中です。原文の説明を表示しています。

Predict project completion dates using ML models. Forecast schedule delays based on current progress, historical patterns, and risk factors.

日本語の概要は準備中です。原文の説明を表示しています。

Predict project duration using k-NN and regression. Estimate timeline based on similar historical projects.

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Create 4D construction simulations by linking BIM elements to project schedules. Generate time-based visualizations, sequence analysis, and construction phasing with Gantt integration.

日本語の概要は準備中です。原文の説明を表示しています。

Prequalify subcontractors based on safety, financial, and performance criteria.

日本語の概要は準備中です。原文の説明を表示しています。

Analyze weather impact on construction schedule. Predict delays and adjust activities based on forecast.

日本語の概要は準備中です。原文の説明を表示しています。

Calculate construction costs using DDC CWICR resource-based methodology. Break down costs into labor, materials, equipment with transparent pricing.

日本語の概要は準備中です。原文の説明を表示しています。