Ozone
apache
Scalable, reliable, distributed storage system optimized for data analytics and object store workloads.
DevopsReview before use
1.3KGitHub
OPENAGENTSKILL / DIRECTORY
AI Agent Skills
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Results · “stateful-workloads”
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Results: 58
Kftray
hcavarsan
kubectl port-forward manager and reverse tunnel (ngrok-like) for exposing local services publicly, with TLS termination, HTTP traffic inspection, UDP forwarding, multi-h…
DevopsReview before use
1.5KGitHub
Runwasi
containerd
Facilitates running Wasm / WASI workloads managed by containerd
DevopsReview before use
1.3KGitHub
Kubetorch
run-house
Distribute and run AI workloads on Kubernetes magically in Python, like PyTorch for ML infra.
DevopsReview before use
1.2KGitHub
Mayastor
openebs
Dynamically provision Stateful Persistent Replicated Cluster-wide Fabric Volumes & Filesystems for Kubernetes that is provisioned from an optimized NVME SPDK backend dat…
DevopsReview before use
1KGitHub
Ffcv
libffcv
FFCV: Fast Forward Computer Vision (and other ML workloads!)
Ml AutomationReview before use
3KGitHub
1.4KGitHub
competition-k8s-control-plane
zhaoxuya520
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for Kubernetes API analysis, service-account trust, RBAC edges, admission and controller beh…
SecurityClaude Code
33.7KGitHub
competition-custom-protocol-replay
zhaoxuya520
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for custom binary or text protocol recovery, handshake reconstruction, framing, sequence con…
DesignClaude Code
33.7KGitHub
Rexray
rexray
REX-Ray is a container storage orchestration engine enabling persistence for cloud native workloads
DevopsReview before use
2.2KGitHub
Hwameistor
hwameistor
Hwameistor is an HA local storage system for cloud-native stateful workloads.
DevopsReview before use
649GitHub
n8n-subworkflows
czlonkowski
Build reusable, composable n8n sub-workflows. Use when extracting shared logic, building anything multi-step or reused across workflows, or any workflow over ~10 nodes —…
DesignClaude Code
6.2KGitHub
ray-data
OpenRaiser
Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales f…
1.4KGitHub
skypilot-multi-cloud-orchestration
OpenRaiser
Multi-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple clouds, leverage spot instan…
ResearchClaude Code
1.4KGitHub
BharatMLStack
Meesho
BharatMLStack is an open-source, end-to-end machine learning infrastructure stack built at Meesho to support real-time and batch ML workloads at Bharat scale
Ml AutomationReview before use
693GitHub
Ck
mlcommons
Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to facilitate collaborative and reproducible research and to learn…
Ml AutomationReview before use
648GitHub
External platform skills
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