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testing security architecture patterns AI 技能

发现 testing security architecture patterns 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: testing security architecture patterns

显示第 3,001–3,024 个,共 6,590 个

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GitHub

reviewing-xstate-architecture

japboy

Evaluate and apply XState architectural patterns and best practices. Use when the user asks to "review XState implementation", "evaluate state machine architecture", "check XState conventions", "audit actor mod...

GitHub

cheatsheets

Integrum-Global

Quick reference cheatsheets for Kailash SDK patterns, nodes, workflows, and best practices. Use when asking about 'quick tips', 'cheat sheet', 'quick reference', 'common mistakes', 'node selection', 'workflow p...

GitHub

nexus

Integrum-Global

Kailash Nexus - zero-config multi-channel platform for deploying workflows as API + CLI + MCP simultaneously. Use when asking about 'Nexus', 'multi-channel', 'platform deployment', 'API deployment', 'CLI deploy...

GitHub

workflow-patterns

Integrum-Global

Industry-specific workflow patterns and templates for finance, healthcare, logistics, manufacturing, retail, and common use cases like AI document processing, API integration, business rules, ETL, RAG, security...

GitHub

development-guides

Integrum-Global

Comprehensive development guides for advanced Kailash SDK features including custom node development, MCP development, async patterns, testing strategies, production deployment, RAG systems, security patterns,...

GitHub

architecture-decisions

Integrum-Global

Architecture decision guides for Kailash SDK including framework selection (Core SDK vs DataFlow vs Nexus vs Kaizen), runtime selection (Async vs Sync), database selection (PostgreSQL vs SQLite), node selection...

GitHub

testing-strategies

Integrum-Global

Comprehensive testing strategies for Kailash applications including the 3-tier testing approach with NO MOCKING policy for Tiers 2-3. Use when asking about 'testing', 'test strategy', '3-tier testing', 'unit te...

GitHub

code-templates

Integrum-Global

Production-ready code templates for Kailash SDK including basic workflows, cyclic workflows, custom nodes, MCP servers, and all three test tiers (unit, integration, end-to-end). Use when asking about 'template'...

GitHub

deployment-git

Integrum-Global

Deployment and Git workflow guides for Kailash applications including Docker deployment, Kubernetes orchestration, and Git workflows. Use when asking about 'deployment', 'Docker deployment', 'Kubernetes deploym...

GitHub

validation-patterns

Integrum-Global

Validation patterns and compliance checking for Kailash SDK including parameter validation, DataFlow pattern validation, connection validation, absolute import validation, workflow structure validation, and sec...

GitHub

gold-standards

Integrum-Global

Mandatory best practices and gold standards for Kailash SDK development including absolute imports, parameter passing, error handling, testing policies (NO MOCKING in Tiers 2-3), workflow design, custom node de...

GitHub

evolving-workflow

moonbit-community

Write auditable, trackable, and repeatable workflows as MoonBit code using the MoonBit Codex SDK. Turn plans into runnable programs that can be reviewed, committed, and improved over time.

GitHub

prd-planner

jmichaelschmidt

Generate structured PRD (Product Requirements Document) planning documents optimized for AI-assisted development. Creates discrete, single-conversation tasks with reasoning level estimates to optimize token usa...

GitHub

example-planner

archubbuck

Create detailed implementation plans for software features and refactoring tasks. Use this skill when planning new features, architectural changes, or major refactoring efforts.

GitHub

code-refactoring

dasien

Improve code structure, readability, and maintainability without changing external behavior through systematic refactoring

GitHub

etl-design

dasien

Design extract-transform-load patterns, data pipeline orchestration, and incremental loading strategies

GitHub

go-idioms

phrazzld

Idiomatic Go patterns for errors, interfaces, concurrency, and packages. Use when: - Writing or reviewing Go code - Designing interfaces or package structure - Implementing concurrency patterns - Handling error...

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