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mindmorass AI Skills

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

Author statistics

Indexed skills

40

Repository stars across indexed skills

80

Repository forks

0

Average repository stars per indexed skill

2

Repository stars may repeat across skills from the same repository.

40 skills

Browse skills

GitHub

kubernetes-patterns

mindmorass

Kubernetes deployment patterns and best practices. Use when creating Kubernetes manifests, Helm charts, configuring pods, services, deployments, or troubleshooting K8s clusters.

GitHub

graphviz-diagrams

mindmorass

Create complex graph visualizations using Graphviz DOT language, with both source code and pre-rendered images.

GitHub

streaming-patterns

mindmorass

Live streaming patterns for YouTube, Twitch, and OBS. Use when setting up live streams, configuring stream keys, RTMP workflows, multi-platform streaming, or real-time broadcast automation.

GitHub

terraform-patterns

mindmorass

Terraform infrastructure as code patterns and best practices. Use when writing Terraform configurations, creating modules, managing state, or designing IaC architectures.

GitHub

ffmpeg-patterns

mindmorass

FFmpeg video and audio processing patterns. Use when transcoding video/audio, extracting clips, adding filters, merging media, creating thumbnails, or batch processing media files.

GitHub

database-migration-patterns

mindmorass

Database schema migration patterns and best practices. Use when creating database migrations, implementing zero-downtime schema changes, version control for databases, or managing data migrations.

GitHub

observability-patterns

mindmorass

Observability patterns for metrics, logs, and traces. Use when implementing monitoring, setting up Prometheus/Grafana, configuring logging pipelines, implementing distributed tracing, or designing alerting syst...

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.