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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.
ideogram-webhooks-events
Build event-driven workflows around Ideogram's synchronous API. Use when implementing async generation queues, batch processing, callback patterns, or image processing pipelines. Trigger with phrases
klingai-async-workflows
Build async video generation workflows with Kling AI using queues, state machines, and event-driven patterns. Trigger with phrases like 'klingai async', 'kling ai workflow', 'klingai pipeline', 'async
langchain-performance-tuning
Tune LangChain 1.0 / LangGraph 1.0 Python chains and agents for throughput, latency, and cost — streaming modes, explicit batch concurrency, semantic plus exact caches, persistent message history, and
langchain-webhooks-events
Dispatch LangChain 1.0 chain/agent events to external systems — webhooks, Kafka, Redis Streams, SNS — via async fire-and-forget callbacks, subgraph-aware wiring, and HMAC-signed delivery with idempote
fastapi-endpoint
Plan and build production-ready FastAPI endpoints with async SQLAlchemy, Pydantic v2 models, dependency injection for auth, and pytest tests. Uses interview-driven planning to clarify data models, aut
axum-web-framework
Complete guide for Axum web framework including routing, extractors, middleware, state management, error handling, and production deployment
fastapi-microservices-development
Comprehensive guide for building production-ready microservices with FastAPI including REST API patterns, async operations, dependency injection, and deployment strategies
FastAPI Customer Support Tech Enablement
Comprehensive FastAPI skill for building modern Python web APIs with focus on customer support systems, ticket management, real-time chat, and backend operations
nodejs-development
Comprehensive Node.js development skill covering event loop, async patterns, streams, file system, HTTP servers, process management, and modern Node.js best practices
rust-systems-programming
Complete guide for Rust systems programming including ownership, borrowing, concurrency, async programming, unsafe code, and performance optimization
psycopg
PostgreSQL adapter for Python - customer support tech enablement for database operations, query optimization, and data management
SQLAlchemy ORM Expert
Comprehensive SQLAlchemy skill for customer support tech enablement, covering ORM patterns, session management, query optimization, async operations, and PostgreSQL integration
javascript-fundamentals
Core JavaScript language features, patterns, and best practices including ES6+ syntax, async/await, closures, prototypes, and modern development patterns
asyncio-concurrency-patterns
Complete guide for asyncio concurrency patterns including event loops, coroutines, tasks, futures, async context managers, and performance optimization
nestjs-queue-architect
Queue job management patterns, processors, and async workflows for video/image processing. Use when building BullMQ queues, job processors, or async video/image processing workflows in NestJS.
riverpod
Use when working with Flutter Riverpod state management. Covers providers, consumers, refs, containers, overrides, async state, code generation, testing, and safe defaults.
async-jobs
Async job processing patterns for background tasks, Celery workflows, task scheduling, retry strategies, and distributed task execution. Use when implementing background job processing, task queues, o
python-backend
Production Python async patterns including asyncio TaskGroup, FastAPI dependency injection and middleware, SQLAlchemy 2.0 async sessions, and database connection pool tuning. Python 3.11+ runtime conc
sharp-edges
Living catalogue of 7 known hazard entries (SE-01 through SE-07) specific to agent-studio: Windows backslash paths, prototype pollution, hook exit codes, async swallowing, ReDoS in glob-to-regex, DST
csharp-dotnet
C# and .NET development patterns
javascript-typescript
Modern JavaScript and TypeScript development patterns
python
Python programming patterns and best practices
rust
Rust programming patterns and ownership concepts
apscheduler
Advanced Python Scheduler - Task scheduling and job queue system
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.