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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.
monte-carlo-monitor-creation
Guides creation of Monte Carlo monitors via MCP tools, producing monitors-as-code YAML for CI/CD deployment.
monte-carlo-push-ingestion
Expert guide for pushing metadata, lineage, and query logs to Monte Carlo from any data warehouse.
monte-carlo-prevent
Surfaces Monte Carlo data observability context (table health, alerts, lineage, blast radius) before SQL/dbt edits.
monte-carlo-validation-notebook
Generates SQL validation notebooks for dbt PR changes with before/after comparison queries.
data-quality-auditor
Audit data quality across pipelines, warehouses, and stores. Use when designing a DQ program, defining DQ dimensions, building rule-based checks, detecting schema drift, monitoring freshness SLAs, or
soda
You are an expert in Soda, the data quality platform for testing, monitoring, and profiling data. You help developers write data quality checks in YAML that validate freshness, completeness, uniquenes
monte-carlo-monitor-creation
Guides creation of Monte Carlo monitors via MCP tools, producing monitors-as-code YAML for CI/CD deployment.
monte-carlo-monitor-creation
Guides creation of Monte Carlo monitors via MCP tools, producing monitors-as-code YAML for CI/CD deployment.
monte-carlo-monitor-creation
Guides creation of Monte Carlo monitors via MCP tools, producing monitors-as-code YAML for CI/CD deployment.
monte-carlo-prevent
Surfaces Monte Carlo data observability context (table health, alerts, lineage, blast radius) before SQL/dbt edits.
monte-carlo-push-ingestion
Expert guide for pushing metadata, lineage, and query logs to Monte Carlo from any data warehouse.
monte-carlo-push-ingestion
Expert guide for pushing metadata, lineage, and query logs to Monte Carlo from any data warehouse.
monte-carlo-push-ingestion
Expert guide for pushing metadata, lineage, and query logs to Monte Carlo from any data warehouse.
monte-carlo-push-ingestion
Expert guide for pushing metadata, lineage, and query logs to Monte Carlo from any data warehouse.
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.