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DevOps AI Skills

Discover DevOps skills, compare source repositories and read the instructions for each workflow.

Categories: DevOps

Showing 26,497–26,520 of 83,066

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GitHub

figma-design-review

ilandahan

AI-powered design review for Figma components with weighted dual-scoring system. Evaluates Style Guide Implementation (70%) and LLM Metadata Accessibility (30%). For export, hands off to atomic-design skill.

GitHub

atomic-design

ilandahan

Expert-level Atomic Design System development from Figma style guides. Build reusable component libraries with atoms, molecules, organisms, templates, and pages.

GitHub

why-driven-decision

ilandahan

FOUNDATIONAL SKILL - Analyze every prompt for underlying motivation using Golden Circle (WHY->HOW->WHAT). Runs BEFORE any other skill. No action without understanding WHY.

GitHub

pre-prd-research

ilandahan

Pre-PRD Research methodology combining Business Analysis, Creative Problem-Solving, Brainstorming, and Innovation Strategy. Use before writing any PRD for problem validation, market research, competitive analys...

GitHub

aid-tech-spec

ilandahan

AID Phase 2 - Technical Specification. Use for system architecture, API contracts, data models, security architecture, transitioning from PRD to implementation.

GitHub

role-tech-lead

ilandahan

Tech Lead role in AID methodology. Use for architecture decisions, code reviews, technical direction, operational readiness, team guidance.

GitHub

aid-qa-ship

ilandahan

AID Phase 5 - QA and Release. Use for validating implementations, acceptance tests, preparing releases, deployment, operational readiness.

GitHub

aid-prd

ilandahan

AID Phase 1 - PRD creation. Use for user stories, acceptance criteria, scoping features, transitioning from discovery to tech spec.

GitHub

aid-discovery

ilandahan

AID Phase 0 - Research & discovery. Use for validating problem spaces, identifying stakeholders, defining success metrics, deciding whether to proceed.

GitHub

atomic-page-builder

ilandahan

Build pages using ONLY existing atomic-design components. REQUIRES atomic-design skill. Use for composing pages, creating views/features from existing components.

GitHub

code-review

ilandahan

Comprehensive code review for commits and pull requests. Covers security, TDD, code quality, and documentation standards.

GitHub

nano-banana-visual

ilandahan

[OPTIONAL] AI-powered visual generation using Google Nano Banana Pro. For user flows, architecture diagrams, mockups.

GitHub

phase-enforcement

ilandahan

AID methodology phase gate enforcement. Ensures work follows correct phase order (PRD -> Tech Spec -> Impl Plan -> Dev -> QA). Enforces gates, validates transitions.

GitHub

context-tracking

ilandahan

Real-time work context tracking for session continuity. Maintains task/step state across sessions, tracks progress, manages logs, integrates with phase enforcement.

GitHub

role-qa-engineer

ilandahan

QA Engineer role in AID methodology. Use for test strategy, BDD scenarios, bug reporting, acceptance testing, flaky test prevention.

GitHub

aid-development

ilandahan

AID Phase 4 - Development phase. Use for implementing features, TDD practices, code reviews, transitioning from planning to QA.

GitHub

role-developer

ilandahan

Developer role in AID methodology. Use for implementation, debugging, technical design, TDD workflow, code review.

GitHub

uml-diagram-design

aAAaqwq

UML 图表设计和绘制。当用户需要创建系统架构图、类图、时序图、用例图或其他 UML 图表时使用此技能。

GitHub

github-automation

aAAaqwq

自动化 GitHub 操作。当用户需要管理仓库、创建 PR、处理 Issue、自动化 CI/CD 或进行代码审查时使用此技能。

GitHub

web-scraping-automation

aAAaqwq

自动化爬取网站数据和 API 接口。当用户需要抓取网页内容、调用 API、解析数据或创建爬虫脚本时使用此技能。

GitHub

figma-ui-design

aAAaqwq

自动化 Figma UI 设计。当用户需要创建设计稿、生成组件、导出资源或自动化设计流程时使用此技能。

GitHub

feishu-automation

aAAaqwq

自动化操作飞书(Lark)平台。当用户需要操作飞书多维表格、发送消息、管理文档、创建群组或自动化飞书工作流时使用此技能。

GitHub

n8n-workflow-automation

aAAaqwq

自动化创建和管理 n8n 工作流。当用户需要设计工作流、配置节点、优化自动化流程或集成多个服务时使用此技能。

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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