mermaid-gen
Generate syntactically correct Mermaid diagrams for technical documentation
Browse published AI skills maintained by vladm3105. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
42Repository stars across indexed skills
242Repository forks
58Average repository stars per indexed skill
6Repository stars may repeat across skills from the same repository.
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
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.