mermaid-gen
Generate syntactically correct Mermaid diagrams for technical documentation
浏览 vladm3105 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
42收录技能的仓库 Stars 合计
242仓库 Forks
58平均每个技能的仓库 Stars
6同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Generate syntactically correct Mermaid diagrams for technical documentation
Generate phased implementation roadmaps from Architecture Decision Records
Workflow navigation assistant that recommends next steps and optimizes documentation sequence through the SDD workflow
DevOps, MLOps, DevSecOps practices for cloud environments (GCP, Azure, AWS)
Develop workflows, custom nodes, and integrations for n8n automation platform
Create Business Requirements Documents (BRD) following SDD methodology - Layer 1 artifact defining business needs and objectives
Develop agentic software and multi-agent systems using Google ADK in Python
Initialize projects with AI Dev Flow framework using domain-aware setup
Create Data Contracts (CTR) - Optional Layer 9 artifact using dual-file format (.md + .yaml) for API/data contracts
Create Task Breakdown (TASKS) - Layer 11 artifact decomposing SPEC into AI-structured TODO tasks
Enforces unified ID naming standards and threshold naming rules for all SDD documentation artifacts
Create and manage Mermaid architecture diagrams with automatic SVG generation
Project context analysis engine that scans project structure and surfaces relevant information for documentation creation
Code review skill for quality, standards compliance, and best practices
Create test plans, write tests, validate code quality through testing
Create EARS (Easy Approach to Requirements Syntax) formal requirements - Layer 3 artifact using WHEN-THE-SHALL-WITHIN format
Analytics and data analysis workflow skill
Create Architecture Decision Records (ADR) - Layer 5 artifact documenting architectural decisions with Context-Decision-Consequences format
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。