Plugins
8 pluginscurated
Deploy Azure Infrastructure
Creates databases, caches, and configures authentication, monitoring, and backup.
3 skills · plugin
curated
ML Model Lifecycle
Train, evaluate, and deploy a production ML system with monitoring.
10 skills · plugin
curated
Azure Monitoring for Python
For Python developers on Azure who need to query logs and set up OpenTelemetry instrumentation.
5 skills · plugin
curated
Safe Production Deployment
Deploy a web application safely with pre-deployment audit, rollout plan, canary monitoring, and rollback strategy.
9 skills · plugin
@softnanolab
Softnano Plugins
Shared skills for the SoftNano lab — HPC job monitoring, code review, literature search, DOI lookup, and more
13 skills · plugin
@microsoft
Azure SDK Python
Azure SDK patterns and best practices for Python developers covering AI, storage, identity, monitoring, messaging, and management libraries.
40 skills · plugin
@microsoft
Azure SDK Java
Azure SDK patterns and best practices for Java developers covering AI, communication, storage, identity, monitoring, and management libraries.
26 skills · plugin
@microsoft
Azure SDK Typescript
Azure SDK patterns and best practices for TypeScript/Node.js developers covering AI, storage, identity, monitoring, and messaging libraries.
24 skills · plugin
Results for “monitoring”
14 skills
samyakjhaveri overnight-eval
Launches long-running evaluation batches in isolated tmux sessions with pre-flight verification, monitoring, and post-flight analysis for unattended runs.
0
drnabeelkhan ai-engineer
Implements machine learning models, embeddings, and AI-powered features with ethical considerations, including model selection, integration, and monitoring.
2
mhassan0000 mle-workflow
Turns model work into a production ML system with data contracts, reproducible training, quality gates, deployable artifacts, and monitoring.
1
qhjqhj00 phoenix-observability
Self-hosted observability platform for LLM applications, providing tracing, evaluation, datasets, experiments, and real-time monitoring to debug and improve AI systems.
3 · bundle
affaan-m mle-workflow
Turn model work into a production ML system with data contracts, repeatable training, measurable quality gates, deployable artifacts, and operational monitoring.
226k
sakamoto-family-smile mle-workflow
Turn model work into a production ML system with data contracts, reproducible training, quality gates, deployable artifacts, and monitoring.
0
More results
paramchordiya mlops-and-infra
Enforces ML infrastructure, experiment tracking, reproducibility, model packaging, CI/CD, monitoring, and infrastructure-as-code standards at principal-engineer level.
0
luokai0 api-monitor
Monitors OpenClaw model API usage and prompts for user confirmation before switching models when quota is low.
10 · bundle
systemtce 03-performance
Optimizes Dify workflows and plugins by restructuring graphs, reducing LLM token usage, tuning worker pools, and improving parallel processing.
34 · bundle
antigravity ml-engineer
Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks, including model serving, feature engineering, A/B testing, and monitoring.
42.4k
google agent-platform-tuning
Fine-tune open models or Gemini models using Agent Platform infrastructure, from environment setup through data preparation, job configuration, monitoring, and deployment.
14.4k · bundle
cloudthinker-ai managing-ray
Manages Ray clusters, jobs, Serve deployments, and distributed workloads via the Dashboard API and CLI, with discovery-first checks and safety guardrails.
7
mukul975 detecting-model-extraction-attacks
Detect model stealing, model inversion, and membership inference performed through inference-API abuse by monitoring query patterns, applying output perturbation, and red-teaming your own model's extractability.
24.6k · bundle
nvidia mcore-run-on-slurm
Launch distributed Megatron-LM training jobs on a SLURM cluster with a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules, container conventions, monitoring, and per-rank failure diagnosis.
2.2k · bundle