Plugins

8 plugins

Deploy Azure Infrastructure

Creates databases, caches, and configures authentication, monitoring, and backup.

3 skills · plugin

ML Model Lifecycle

Train, evaluate, and deploy a production ML system with monitoring.

10 skills · plugin

Azure Monitoring for Python

For Python developers on Azure who need to query logs and set up OpenTelemetry instrumentation.

5 skills · plugin

Safe Production Deployment

Deploy a web application safely with pre-deployment audit, rollout plan, canary monitoring, and rollback strategy.

9 skills · plugin

Softnano Plugins

Shared skills for the SoftNano lab — HPC job monitoring, code review, literature search, DOI lookup, and more

13 skills · plugin

Azure SDK Python

Azure SDK patterns and best practices for Python developers covering AI, storage, identity, monitoring, messaging, and management libraries.

40 skills · plugin

Azure SDK patterns and best practices for Java developers covering AI, communication, storage, identity, monitoring, and management libraries.

26 skills · plugin

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”

10 skills

Turn model work into a production ML system with data contracts, repeatable training, measurable quality gates, deployable artifacts, and operational monitoring.

agent-platform-alert-configuration

Configures dynamic threshold alerting policies for Google Cloud Vertex AI Agent Platform agents, monitoring latency, error rates, and quality metrics using Terraform and PromQL.

14.4k · bundle

Implements AI safety guardrails including input validation, output filtering, robustness testing, human oversight, and monitoring to prevent harmful outputs and ensure system reliability.

Continuously monitors system performance, identifies improvement opportunities, and orchestrates skill discovery and creation to autonomously evolve capabilities.

More results

agent-orchestration-advisor

Design multi-agent AI workflows with clear boundaries, handoffs, and monitoring for complex product management tasks.

huggingface-trackio

Track and visualize ML training experiments with Trackio, including logging metrics, firing alerts, and retrieving data via CLI. Supports real-time dashboards, webhook alerts, and HF Space syncing.

10.8k · bundle

graphsignal-profiler

Set up GPU profiling, tracing, and monitoring for inference workloads using vLLM, SGLang, PyTorch, and dstack services via the Graphsignal Profiler sidecar.

Orchestrates multi-agent teams using the ClawTeam CLI, enabling task management, inter-agent messaging, git context integration, runtime profiles, and monitoring dashboards.

Build evaluation frameworks for agent systems with deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, and outcome measurement.

16.9k · bundle

botemail-ai-free-bot-email

Creates a temporary bot email address and checks its inbox via API, useful for testing signup flows, receiving verification codes, and automating email workflows.