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.
- 146.7K
- listings
- 1
- installs
- 0
- reviews
- 40.4K
- publishers
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.
disable-telegram
Stop the Telegram channel daemon.
enable-telegram
Start Telegram monitoring. Auto-enables voice pipeline if ElevenLabs or OpenAI TTS keys are detected.
heartbeat
Start and manage the full heartbeat ecosystem for agent-studio. Registers all 7 heartbeat loops plus auto-reschedule task via CronCreate to keep the agent ecosystem healthy, indexed, informed, and con
scheduled-tasks
Schedule recurring tasks and heartbeat monitoring using Claude Code's cron system (CronCreate/CronList/CronDelete). Implements the Agentic Heartbeat Pattern for ecosystem health monitoring.
monitoring-logging
Application monitoring, logging systems, and alerting
observability-monitoring
Structured logging, metrics, distributed tracing, and alerting strategies
database-migrations-migration-observability
Migration monitoring, CDC, and observability infrastructure
log-analysis
Analyze application logs to identify errors, performance issues, and security anomalies. Use when debugging issues, monitoring system health, or investigating incidents. Handles various log formats in
monitoring-observability
Set up monitoring, logging, and observability for applications and infrastructure. Use when implementing health checks, metrics collection, log aggregation, or alerting systems. Handles Prometheus, Gr
kol-content-monitor
Track what key opinion leaders (KOLs) in your space are posting on LinkedIn and Twitter/X. Surfaces trending narratives, high-engagement topics, and early signals of emerging conversations before they
newsletter-signal-scanner
Subscribe to and scan industry newsletters for buying signals, competitor mentions, ICP pain-point language, and market shifts. Parses incoming newsletter emails via AgentMail, matches against keyword
error-handling-logging-patterns
Implement structured logging, error hierarchies, and observability patterns for production systems. Covers structured JSON logging, error classification, correlation IDs, and alerting integration. Tri
monitoring-observability
Route observability work from the current packet into one monitoring brief. Use when the main job is deciding service-health signals, telemetry rollout, dashboard/alert coverage, pipeline freshness/sc
openocta
Operate openocta/openocta, the Apache-2.0 desktop and service AIOps agent for natural-language inspection, alert analysis, data queries, remediation, local knowledge, Skills, MCP, channels, and webhoo
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
social-trend-monitor
跨平台社交趋势监控，并行监控Reddit、Instagram、TikTok、Twitter热门内容，生成趋势分析报告
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
claude-hud
Build heads-up display (HUD) dashboards for AI coding agents — show context usage, active tools, running sub-agents, and task progress in real-time. Use when: monitoring AI agent activity, building de
comet-ml
Expert guidance for Comet ML, the platform for tracking machine learning experiments, managing models, and monitoring production ML systems. Helps developers log experiments, compare model versions, a
datadog
Configure and manage Datadog for infrastructure monitoring, application performance monitoring (APM), log management, and alerting. Use when a user needs to set up Datadog agents, create dashboards, c
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
htop
Monitor system resources with htop and related tools. Use when a user asks to check CPU/memory usage, find resource-hungry processes, monitor server performance, or diagnose system bottlenecks.
influxdb
Set up and manage InfluxDB for time-series data storage, querying, and analysis. Use when a user needs to configure InfluxDB buckets, write Flux queries, set up retention policies, create tasks for da
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.