Marketplace
Everything your AI needs, in one place.
Ready-made agents, skills, personas, prompts, templates and tools. Each one is checked before it goes live, works with any model, and installs in a click. Rate what you use so the best rises to the top.
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A service that does a whole job for you - research, coding, support - and reports back.
Step-by-step instructions an AI follows for one kind of task. Install once, reuse everywhere.
A voice and set of rules layered onto any model: tone, audience, do's and don'ts.
A ready-to-use prompt with fill-in-the-blank variables and notes on when it works best.
A complete routing setup - models, rules and settings - in one file you can apply in a minute.
A single function an AI can call: a calculator, a search, a database lookup.
A language model endpoint with its price, speed and quality declared so the router can compare it.
root-cause-tracing
Systematically trace bugs backward through call stack to find original trigger
tracing-knowledge-lineages
Understand how ideas evolved over time to find old solutions for new problems and avoid repeating past failures
monitoring-observability
Monitoring and observability patterns for Prometheus metrics, Grafana dashboards, Langfuse v4 LLM tracing (as_type, score_current_span, should_export_span, LangfuseMedia), and drift detection. Use whe
observability-monitoring
Structured logging, metrics, distributed tracing, and alerting strategies
langsmith
Route LangSmith work into one workflow packet before touching SDK code. Use when the user needs LangSmith tracing, offline evals, annotation/review queues, prompt-registry decisions, audit/gap review,
opik
Run Comet's Opik — open-source LLM observability, evaluation, and optimization — from one routing-first skill: install the Python/TypeScript SDK, stand up a server (Comet.com cloud, Docker Compose via
logging-observability
Structured logging, distributed tracing, and metrics for production applications. [What: OpenTelemetry setup, log level strategy, correlation IDs, SLI/SLO alerting thresholds, Grafana dashboard design
agentscope
Build transparent, observable AI agents using AgentScope — agents you can see, understand, and trust with full execution tracing and debugging. Use when: building production agents that need observabi
arize
You are an expert in Arize and its open-source Phoenix library for AI observability. You help developers monitor LLM applications with tracing, evaluation, embedding analysis, drift detection, and ret
jaeger
Deploy and use Jaeger for distributed tracing across microservices. Use when a user needs to set up trace collection, instrument applications with OpenTelemetry, analyze trace data to find latency bot
langfuse
You are an expert in Langfuse, the open-source LLM engineering platform. You help developers trace LLM calls, evaluate output quality, manage prompts, track costs and latency, run experiments, and bui
langsmith
Monitor, trace, debug, and evaluate LLM applications with LangSmith. Use when a user asks to trace LLM calls, debug chain executions, evaluate AI output quality, set up LLM observability, monitor agen
langtrace
You are an expert in Langtrace, the open-source observability platform for LLM applications built on OpenTelemetry. You help developers trace LLM calls, RAG pipelines, agent tool use, and chain execut
observability-setup
Set up end-to-end observability for microservices. Use when someone asks to "add tracing", "set up monitoring", "configure OpenTelemetry", "build Grafana dashboards", "distributed tracing", "structure
otel-js
Instrument Node.js apps with OpenTelemetry. Use when a user asks to add distributed tracing, collect metrics, instrument HTTP requests, trace database queries, or set up observability for microservice
powertools-lambda
You are an expert in AWS Lambda Powertools, the developer toolkit for implementing serverless best practices. You help developers add structured logging, distributed tracing (X-Ray), custom metrics (C
traceloop
You are an expert in Traceloop and its OpenLLMetry SDK, the open-source observability framework that extends OpenTelemetry for LLM applications. You help developers instrument AI pipelines with automa
weave
You are an expert in Weave, the lightweight toolkit by Weights & Biases for tracking and evaluating AI applications. You help developers trace LLM calls, evaluate outputs, compare model versions, trac
zipkin
Deploy and configure Zipkin for distributed tracing and request flow visualization. Use when a user needs to set up trace collection, instrument Java/Spring or other services with Zipkin, analyze serv
langsmith-observability
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systemati
opentelemetry-skill
Expert OpenTelemetry guidance for collector configuration, pipeline design, and production telemetry instrumentation. Use when configuring collectors, designing pipelines, instrumenting applications,
trulens-instrumentation
Instrument LLM apps with TruLens OTEL-based tracing - from setup to debugging and optimization
afrexai-observability-engine
Complete observability & reliability engineering system. Use when designing monitoring, implementing structured logging, setting up distributed tracing, building alerting systems, creating SLO/SLI fra
afrexai-observability-engine
Complete observability & reliability engineering system. Use when designing monitoring, implementing structured logging, setting up distributed tracing, building alerting systems, creating SLO/SLI fra
Find
Search or browse by kind. Every card shows who made it, how many people installed it and what they think.
Install
One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.
Rate and publish
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Prefer the terminal? osr stack apply registry://starter installs the starter template.