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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.
grafana-expert
Expert-level Grafana dashboards, visualization, data sources, alerting, and production operations. Use when the user mentions dashboards, visualization, monitoring, observability, or alerting, or when
monitoring-expert
Expert-level monitoring and observability with Prometheus, Grafana, logging, and alerting. Use when the user mentions observability, Prometheus, Grafana, logging, metrics, or alerting, or when the tas
prometheus-expert
Expert-level Prometheus monitoring, metrics collection, PromQL queries, alerting, and production operations. Use when the user mentions monitoring, metrics, observability, alerting, or PromQL, or when
dd-monitors
Monitor management - list, search, file-based create, and alerting best practices.
datadog
Full-stack observability with Datadog APM, logs, metrics, synthetics, and RUM. Use when implementing monitoring, tracing, alerting, or cost optimization for production systems.
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
replit-observability
Monitor Replit deployments with health checks, uptime tracking, resource usage, and alerting. Use when setting up monitoring for Replit apps, building health dashboards, or configuring alerting for de
monitoring-setup
Sets up production monitoring for NestJS and Next.js apps — Sentry error tracking, Google Analytics, and operational signals (BullMQ queue depth, Postgres slow queries, connection saturation) with ale
observability-testing-patterns
Observability and monitoring validation patterns for dashboards, alerting, log aggregation, APM traces, and SLA/SLO verification. Use when testing monitoring infrastructure, dashboard accuracy, alert
qe-observability-testing-patterns
Observability and monitoring validation patterns for dashboards, alerting, log aggregation, APM traces, and SLA/SLO verification. Use when testing monitoring infrastructure, dashboard accuracy, alert
monitoring
监控与告警
monitoring-logging
Application monitoring, logging systems, and alerting
implementing-vulnerability-sla-breach-alerting
Build an automated SLA breach alerting system for vulnerability remediation, including a database schema for SLA tracking, breach detection logic, notification dispatch, a scheduled check runner, and
alert-optimizer
Restructure and optimize alert rules for monitoring platforms (Sentry, PagerDuty, Datadog, OpsGenie). Use when someone asks to "reduce alert noise", "fix alert fatigue", "create alert rules", "set up
grafana
Grafana is an open-source visualization and dashboarding platform that connects to dozens of data sources including Prometheus, PostgreSQL, ClickHouse, and Elasticsearch. It lets you build interactive
pagerduty
Configure PagerDuty for incident management, on-call scheduling, alert routing, and escalation policies. Use when a user needs to set up PagerDuty services, create escalation policies, configure integ
flow-error-monitoring
Set up monitoring + alerting for Flow runtime errors at org scale: routing fault emails, Flow runtime error reports, custom centralized logging (Integration_Log__c), escalation thresholds, and trend d
grafana-expert
Expert-level Grafana dashboards, visualization, data sources, alerting, and production operations
observability-testing-patterns
Observability and monitoring validation patterns for dashboards, alerting, log aggregation, APM traces, and SLA/SLO verification. Use when testing monitoring infrastructure, dashboard accuracy, alert
observability-testing-patterns
Observability and monitoring validation patterns for dashboards, alerting, log aggregation, APM traces, and SLA/SLO verification. Use when testing monitoring infrastructure, dashboard accuracy, alert
Logging and Monitoring for Agentic Workflows
Comprehensive observability patterns for GitHub Agentic Workflows including structured logging, metrics collection, alerting strategies, debugging techniques, and production monitoring best practices
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
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
Leave a star rating after you have used it. Made something useful? Publish it - free listings go live immediately.
Prefer the terminal? osr stack apply registry://starter installs the starter template.