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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.
data-pipeline
Data pipeline and ETL automation - extract, transform, load workflows for data integration and analytics
ETL Pipeline
Design and automate Extract, Transform, Load data pipelines for data integration and analytics
senior-data-engineer
Data engineering for batch and streaming pipelines with Airflow, dbt, Spark, and Kafka. Use when designing data architectures, building pipelines, adding data-quality checks, optimizing ETL/ELT, or tr
preprocessing-data-with-automated-pipelines
Process automate data cleaning, transformation, and validation for ML tasks. Use when requesting "preprocess data", "clean data", "ETL pipeline", or "data transformation". Trigger with relevant phrase
clerk-deploy-integration
Configure Clerk for deployment on various platforms. Use when deploying to Vercel, Netlify, Railway, or other platforms, or when setting up production environment. Trigger with phrases like "deploy cl
hubspot-warehouse-sync
Sync HubSpot CRM data to a data warehouse (BigQuery, Snowflake, or Postgres) for analytics and reporting. Covers initial backfill of millions of records under the 500K/day rate limit, incremental CDC
lokalise-deploy-integration
Deploy Lokalise integrations to Vercel, Netlify, and Cloud Run platforms. Use when deploying apps with Lokalise translations to production, configuring platform-specific secrets, or setting up deploym
maintainx-data-handling
Data synchronization, ETL patterns, and data management for MaintainX. Use when syncing data between MaintainX and other systems, building ETL pipelines, or managing data consistency. Trigger with phr
clerk-deploy-integration
Configure Clerk for deployment on various platforms. Use when deploying to Vercel, Netlify, Railway, or other platforms, or when setting up production environment. Trigger with phrases like "deploy cl
hubspot-warehouse-sync
Sync HubSpot CRM data to a data warehouse (BigQuery, Snowflake, or Postgres) for analytics and reporting. Covers initial backfill of millions of records under the 500K/day rate limit, incremental CDC
lokalise-deploy-integration
Deploy Lokalise integrations to Vercel, Netlify, and Cloud Run platforms. Use when deploying apps with Lokalise translations to production, configuring platform-specific secrets, or setting up deploym
maintainx-data-handling
Data synchronization, ETL patterns, and data management for MaintainX. Use when syncing data between MaintainX and other systems, building ETL pipelines, or managing data consistency. Trigger with phr
preprocessing-data-with-automated-pipelines
Process automate data cleaning, transformation, and validation for ML tasks. Use when requesting "preprocess data", "clean data", "ETL pipeline", or "data transformation". Trigger with relevant phrase
ray-data
Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of n
accelerated-computing-cudf
Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
pandas
Expert data analysis and manipulation for customer support operations using pandas
ETL Pipeline
Design and automate Extract, Transform, Load data pipelines for data integration and analytics
ray-data
Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of n
data-engineer
Expert in data pipelines, ETL processes, and data infrastructure
accelerated-computing-cudf
Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
data-design
Data modeling, schema design, and data architecture
data-cleaning-pipeline
数据清洗自动化 — 脏数据→去重/补全/格式统一/异常检测→干净数据集
data-ingestion-pipeline
Build data ingestion pipelines for batch and streaming data from multiple sources. Covers extraction strategies, format normalization, deduplication, validation gates, and staging patterns. Triggers o
data-pipeline-engineer
Expert data engineer for ETL/ELT pipelines, streaming, data warehousing. Activate on: data pipeline, ETL, ELT, data warehouse, Spark, Kafka, Airflow, dbt, data modeling, star schema, streaming data, b
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.