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vladm3105 AI Skills

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Browse published AI skills maintained by vladm3105. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

42

Repository stars across indexed skills

242

Repository forks

58

Average repository stars per indexed skill

6

Repository stars may repeat across skills from the same repository.

42 skills

Browse skills

GitHub

mermaid-gen

vladm3105

Generate syntactically correct Mermaid diagrams for technical documentation

GitHub

adr-roadmap

vladm3105

Generate phased implementation roadmaps from Architecture Decision Records

GitHub

workflow-optimizer

vladm3105

Workflow navigation assistant that recommends next steps and optimizes documentation sequence through the SDD workflow

GitHub

devops-flow

vladm3105

DevOps, MLOps, DevSecOps practices for cloud environments (GCP, Azure, AWS)

GitHub

n8n

vladm3105

Develop workflows, custom nodes, and integrations for n8n automation platform

GitHub

google-adk

vladm3105

Develop agentic software and multi-agent systems using Google ADK in Python

GitHub

doc-ctr

vladm3105

Create Data Contracts (CTR) - Optional Layer 9 artifact using dual-file format (.md + .yaml) for API/data contracts

GitHub

doc-tasks

vladm3105

Create Task Breakdown (TASKS) - Layer 11 artifact decomposing SPEC into AI-structured TODO tasks

GitHub

doc-naming

vladm3105

Enforces unified ID naming standards and threshold naming rules for all SDD documentation artifacts

GitHub

charts-flow

vladm3105

Create and manage Mermaid architecture diagrams with automatic SVG generation

GitHub

context-analyzer

vladm3105

Project context analysis engine that scans project structure and surfaces relevant information for documentation creation

GitHub

doc-ears

vladm3105

Create EARS (Easy Approach to Requirements Syntax) formal requirements - Layer 3 artifact using WHEN-THE-SHALL-WITHIN 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.