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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.
firecrawl-observability
Monitor Firecrawl scraping pipelines with metrics, credit tracking, and quality alerts. Use when implementing monitoring for Firecrawl operations, setting up dashboards, or configuring alerting for sc
fireflies-observability
Monitor Fireflies.ai integration health with metrics, alerts, and dashboards. Use when implementing monitoring, setting up alerting, or tracking transcript processing reliability. Trigger with phrases
granola-observability
Monitor Granola adoption, meeting analytics, and build custom dashboards. Use when tracking team meeting patterns, measuring adoption, building analytics pipelines, or creating executive reports. Trig
guidewire-observability-and-incident-response
Operate a Guidewire Cloud API integration in production — define SLIs/SLOs for token availability, bind success rate, FNOL p99 latency; route alerts so the on-call gets paged for real outages and neve
ideogram-observability
Set up monitoring, metrics, and alerts for Ideogram integrations. Use when implementing observability for Ideogram operations, tracking costs, or configuring alerting for generation health. Trigger wi
instantly-observability
Set up monitoring, alerting, and dashboards for Instantly.ai integrations. Use when implementing campaign health monitoring, account health alerts, or building analytics dashboards from Instantly data
langchain-debug-bundle
Produce a reproducible, sanitized diagnostic bundle for a LangChain / LangGraph incident — environment snapshot, version manifest, filtered astream_events(v2) transcript, propagating callback stack, L
langchain-observability
Wire LangSmith tracing and custom metric callbacks into a LangChain 1.0 chain or LangGraph 1.0 agent correctly — env-var spelling, subgraph propagation, per-tenant dimensions, cost and latency counter
langchain-otel-observability
Wire LangChain 1.0 / LangGraph 1.0 traces into an OpenTelemetry-native backend (Jaeger, Honeycomb, Grafana Tempo, Datadog) with LLM-specific SLOs, safe prompt-content policy, and subgraph-aware span p
langfuse-core-workflow-a
Execute Langfuse primary workflow: Tracing LLM calls and spans. Use when implementing LLM tracing, building traced AI features, or adding observability to existing LLM applications. Trigger with phras
langfuse-data-handling
Manage Langfuse data export, retention, and compliance requirements. Use when exporting trace data, configuring retention policies, or implementing data compliance for LLM observability. Trigger with
langfuse-incident-runbook
Troubleshoot and respond to Langfuse-related incidents and outages. Use when experiencing Langfuse outages, debugging production issues, or responding to LLM observability incidents. Trigger with phra
langfuse-install-auth
Install and configure Langfuse SDK authentication for LLM observability. Use when setting up a new Langfuse integration, configuring API keys, or initializing Langfuse tracing in your project. Trigger
langfuse-migration-deep-dive
Execute complex Langfuse migrations including data migration and platform changes. Use when migrating from other observability platforms, moving between Langfuse instances, or performing major infrast
langfuse-observability
Set up comprehensive observability for Langfuse with metrics, dashboards, and alerts. Use when implementing monitoring for LLM operations, setting up dashboards, or configuring alerting for Langfuse i
langfuse-reference-architecture
Production-grade Langfuse architecture patterns and best practices. Use when designing LLM observability infrastructure, planning Langfuse deployment, or implementing enterprise-grade tracing architec
langfuse-sdk-patterns
Langfuse SDK best practices, patterns, and idiomatic usage. Use when learning Langfuse SDK patterns, implementing proper tracing, or following best practices for LLM observability. Trigger with phrase
langfuse-security-basics
Implement Langfuse security best practices for API keys and data privacy. Use when securing Langfuse integration, protecting API keys, or implementing data privacy controls for LLM observability. Trig
lokalise-observability
Set up comprehensive observability for Lokalise integrations with metrics, traces, and alerts. Use when implementing monitoring for Lokalise operations, setting up dashboards, or configuring alerting
maintainx-observability
Implement comprehensive observability for MaintainX integrations. Use when setting up monitoring, logging, tracing, and alerting for MaintainX API integrations. Trigger with phrases like "maintainx mo
miro-observability
Set up observability for Miro REST API v2 integrations with Prometheus metrics, OpenTelemetry traces, structured logging, and Grafana dashboards. Trigger with phrases like "miro monitoring", "miro met
mistral-observability
Set up comprehensive observability for Mistral AI with metrics, traces, and alerts. Use when implementing monitoring for Mistral AI operations, setting up dashboards, or configuring alerting for integ
palantir-observability
Set up observability for Palantir Foundry integrations with metrics, logging, and alerts. Use when implementing monitoring for Foundry API calls, setting up dashboards, or configuring alerting for Fou
posthog-observability
Monitor PostHog integration health: event ingestion rates, feature flag evaluation latency, billing volume tracking, and Prometheus/Grafana alerting. Trigger: "posthog monitoring", "posthog metrics",
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.