Packs
5 packscurated
Azure Identity and Storage with Python
For Python developers building secure Azure applications with authentication and blob storage.
4 skills · pack
curated
Google RAG Platform
For developers using Google's Agent Platform to build RAG applications with Gemini and managed corpora.
4 skills · pack
@fradser
Office
Office productivity skills for patent applications, PRD generation, video generation, Remotion programmatic video authoring, and AI writing trope detection
5 skills · pack
curated
Build Gemini Live API App
Build real-time, bidirectional streaming applications with the Gemini Live API, covering WebSocket-based audio/video/text streaming and function calling.
4 skills · pack
@microsoft
Azure Skills
Microsoft Azure MCP integration for cloud resource management, deployments, and Azure services. Manage your Azure infrastructure, monitor applications, and deploy resources directly from Claude Code.
33 skills · pack
Results for “applications”
20 skillssentry-for-ai
Adds observability and debugging for AI-assisted application workflows using Sentry.
28
phoenix-observability
Trace, evaluate, and monitor LLM applications with an open-source observability platform.
10.4k · bundle
langsmith-observability
Debug, evaluate, and monitor LLM applications with tracing, datasets, and built-in evaluators.
10.4k · bundle
cloudwatch
Monitor AWS resources and applications using CloudWatch logs, metrics, alarms, and dashboards with CLI and boto3 examples.
1.1k · bundle
phoenix-tracing
Instrument LLM applications with OpenInference tracing for Phoenix AI observability, covering setup, custom spans, and production deployment.
36.2k · bundle
datadog-mcp-server
Sets up Datadog tracing for Node.js applications by installing the dd-trace library and linking to official documentation.
28
More results
azure-monitor-opentelemetry-py
Configures Azure Monitor Application Insights with OpenTelemetry auto-instrumentation for Python applications in one line.
2.7k
azure-monitor-opentelemetry-ts
Auto-instrument Node.js applications with distributed tracing, metrics, and logs using Azure Monitor and OpenTelemetry.
2.7k
langfuse
Instrument LLM applications with Langfuse for tracing, prompt versioning, evaluation, and dataset management across Python and JavaScript SDKs.
3
dump-collect
Configure and collect crash dumps for modern .NET applications (CoreCLR and NativeAOT) on Linux, macOS, and Windows, including containers.
4k · bundle
langfuse
Instrument LLM applications with Langfuse to trace, score, and monitor cost, quality, and latency across OpenAI and LangChain integrations.
2
langfuse
Instruments LLM applications with Langfuse for tracing, observability, and evaluation, covering setup, OpenAI and LangChain integrations, and best practices.
5
langfuse
Instrument LLM applications with Langfuse for tracing, prompt management, evaluation, and cost tracking, including integrations with OpenAI, LangChain, and LlamaIndex.
0 · bundle
unifi
Query and monitor UniFi network devices, clients, health, top applications, and alerts via the local UniFi OS gateway API.
10 · bundle
arize-instrumentation
Adds Arize AX tracing to LLM applications using a two-phase agent-assisted flow that analyzes the codebase before implementing instrumentation.
36.2k · bundle
appinsights-instrumentation
Provides guidance and reference material for instrumenting web applications with Azure Application Insights, including telemetry patterns, SDK setup, and configuration references.
2.7k · bundle
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
laravel-platform
Operates Laravel applications in production, covering Horizon, queues, scheduler, Octane, Redis, Supervisor, PHP-FPM, cache, and deployment with safety gates for destructive commands.
2
unifi
Queries and monitors a UniFi network via the local UniFi OS gateway API, providing device status, active clients, health, top applications, and recent alerts.
1 · bundle
performance-profiler
Systematically profile Node.js, Python, and Go applications to identify CPU, memory, and I/O bottlenecks, generate flamegraphs, analyze bundle sizes, optimize database queries, and run load tests with k6 and Artillery.
20.4k · bundle