获取ZAKER聚合权威媒体的最新头条新闻与热点资讯。Use when the user asks about 新闻, 头条, 最新新闻, 今日新闻, 热点新闻, 突发新闻, 国内外大事, 最近发生了什么, 有什么新鲜事, trending news, latest news, headlines, breaking news, what’s happening.

Adds multi-language support to Next.js websites with proper SEO configuration including hreflang tags, localized sitemaps, and language-specific content. Use when adding new languages, setting up i18n, optimizing for international SEO, or when user mentions localization, translation, multi-language, or specific languages like Japanese, Korean, Chinese.

Work with a user's Semantic Scholar account to read Research Feeds, inspect private Library folders, add papers to folders, and resolve Semantic Scholar paper records from identifiers such as arXiv IDs.

Find papers and preprints that cite a given URL, especially blogs, docs pages, project pages, or other web content that standard citation indexes often miss. Use when the user provides a URL and wants confirmed citing works, evidence from PDF or HTML references, DOI or arXiv links, BibTeX, or a deduplicated citation report.

Test Claude Code skills using RED/GREEN/REFACTOR TDD phases in fresh subagents to prevent priming bias.

'Detect friction signals during execution and graduate recurring patterns into rules. Use for session retrospectives and learning pipeline automation.'

'Reference reusable patterns for validation, error handling, and test scaffolding. Use when: ensuring consistency across skills.'

'Guide to creating Claude Code skills using TDD methodology and persuasion principles. Use for new skill development.'

'Test skills via RED/GREEN/REFACTOR TDD with fresh subagents. Use when: validating skill behavior, preventing priming bias.'

'Functional Core, Imperative Shell: isolate deterministic logic from side effects for testability.'

'Hexagonal (Ports and Adapters) architecture isolating domain logic from infrastructure.'

'Microkernel architecture with a minimal core and plugin-based extensibility for platforms.'

Generate Makefiles with testing, linting, formatting, and automation targets for new projects.

Configure pre-commit hooks for linting, type checking, formatting, and testing to enforce quality gates on every commit.

Guide project ideation through Socratic questioning to generate actionable project briefs with alternative comparisons.

Transform specifications into dependency-ordered implementation plans with phased tasks and parallel work identification.

Transform project briefs into testable specifications with user stories, acceptance criteria, and measurable outcomes.

Configure GitHub Actions CI/CD workflows for automated testing, linting, and deployment pipelines.

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'Authentication patterns for external services: API keys, OAuth, token

'Standardized pytest configuration for Claude Night Market plugin testing

'Generate visual diagrams of palace structure, knowledge topology, and synapse connectivity.'

'Python testing patterns: pytest setup, fixtures, TDD, mocking, async tests, and integration tests'

'Automate desktop GUI workflows via Claude computer use API with screenshot capture and mouse/keyboard control.'

'Generate tutorials from VHS tapes and Playwright specs with dual-tone markdown and GIF recording'

'Create clear, testable specifications from feature descriptions with user stories, acceptance criteria, and success metrics.'

'Workflow orchestrator for Spec Driven Development. Coordinates skills

'Generate phased, dependency-ordered tasks from specifications with parallelization opportunities and tech-stack patterns.'

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AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python. Use when creating CDK stacks, defining CDK constructs, implementing infrastructure as code, or when the user mentions CDK, CloudFormation, IaC, cdk synth, cdk deploy, or wants to define AWS infrastructure programmatically. Covers CDK app structure, construct patterns, stack composition, and deployment workflows.

Build personalized cold outreach sequences for LinkedIn and email. Use when someone needs to reach prospects, warm up cold leads, or build a systematic outreach engine. Covers research, connection requests, follow-ups, and conversion.

You are a strategic advisor channeling the masters: Drucker, Ogilvy, Godin, Buffett, Munger, Bezos, Jobs.

Systematically gather, score, and format client testimonials. Use when someone needs social proof, wants to collect feedback, needs to turn happy clients into public advocates, or asks for help requesting or drafting a testimonial.

AI-generated content all sounds the same. The fix isn't better prompts — it's teaching the AI how you actually communicate.

Market positioning strategy that produces a complete positioning document, Moore + Neumeier positioning statements, competitive alternatives map, and market category analysis. Built on April Dunford's

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Provides AWS SAM bootstrap patterns: generates `template.yaml` and `samconfig.toml` for new projects via `sam init`, creates SAM templates for existing Lambda/CloudFormation code migration, validates build/package/deploy workflows, and configures local testing with `sam local invoke`. Use when the user asks about SAM projects, `sam init`, `sam deploy`, serverless deployments, or needs to bootstrap/migrate Lambda functions with SAM templates.

Validates a skill against DevKit standards (requirements, template, dependencies). Use when you need to verify a skill before publishing or after modifications.

Analyzes git changes since the latest release tag and updates the documentation files that should change with them.

'Creates professional logical flow diagrams and logical system architecture diagrams using draw.io XML format (.drawio files). Use when creating: (1) logical flow diagrams showing data/process flow between system components, (2) logical architecture diagrams representing system structure without cloud provider specifics, (3) BPMN process diagrams, (4) UML diagrams (class, sequence, activity), (5) data flow diagrams (DFD), (6) decision flowcharts, or (7) system interaction diagrams. This skill focuses on generic/abstract representations, not AWS/Azure-specific architectures (use aws-drawio-architecture-diagrams for cloud diagrams).'

Provides patterns to configure AWS RDS (Aurora, MySQL, PostgreSQL) with Spring Boot applications. Configures HikariCP connection pools, implements read/write splitting, sets up IAM database authentication, enables SSL connections, and integrates with AWS Secrets Manager. Use when setting up RDS connections in Spring Boot, configuring connection pooling, or managing database credentials securely.

Provides Amazon Bedrock patterns using AWS SDK for Java 2.x. Invokes foundation models (Claude, Llama, Titan), generates text and images, creates embeddings for RAG, streams real-time responses, and configures Spring Boot integration. Use when asking about Bedrock integration, Java SDK for AI models, AWS generative AI, Claude/Llama invocation, embeddings for RAG, or Spring Boot AI setup.

Provides AWS SDK for Java 2.x client configuration, credential resolution, HTTP client tuning, timeout, retry, and testing patterns. Use when creating or hardening AWS service clients, wiring Spring Boot beans, debugging auth or region issues, or choosing sync vs async SDK usage.

Provides Amazon S3 patterns and examples using AWS SDK for Java 2.x. Use when working with S3 buckets, uploading/downloading objects, multipart uploads, presigned URLs, S3 Transfer Manager, object operations, or S3-specific configurations.

Provides implementation patterns for Clean Architecture, Hexagonal Architecture (Ports & Adapters), and Domain-Driven Design in Java 21+ Spring Boot 3.5+ applications. Use when structuring layered architectures, separating domain logic from frameworks, implementing ports and adapters, creating entities/value objects/aggregates, or refactoring monolithic codebases for testability and maintainability.

Provides unit test, integration test, and mock AI patterns for LangChain4j applications. Creates mock LLM responses, tests retrieval chains, validates RAG workflows, and implements Testcontainers-based integration tests for Java AI services. Use when unit testing AI services, integration testing LangChain4j components, mocking AI models, or testing LLM-based Java applications.

Provides and generates LangChain4j tool and function calling patterns: annotates methods as tools with @Tool, configures tool executors, registers tools with AiServices, validates tool parameters, and handles tool execution errors. Use when building AI agents that call tools, define function specifications, manage tool responses, or integrate external APIs with LLM-driven applications.