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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.
openrouter-reference-architecture
Design production architectures using OpenRouter as the LLM gateway. Use when planning system design, reviewing architecture, or scaling AI applications. Triggers: 'openrouter architecture', 'openrout
replit-architecture-variants
Choose and implement Replit architecture blueprints: single-file script, modular app, and multi-service. Use when designing new Replit apps, choosing the right architecture scale, or planning migratio
windsurf-refactoring-large
Manage large-scale refactoring with Cascade coordination. Activate when users mention "large refactoring", "codebase migration", "architecture refactor", "major refactoring", or "system-wide changes".
vercel-architecture-variants
Choose and implement Vercel architecture blueprints for different scales and use cases. Use when designing new Vercel projects, choosing between static, serverless, and edge architectures, or planning
windsurf-load-scale
Scale Windsurf adoption across large organizations with workspace strategies and performance tuning. Use when rolling out Windsurf to 50+ developers, managing large monorepo workspaces, or planning en
analyzing-capacity-planning
Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth. it uses the capacity-planning-analyzer plugin to assess current utilization, forecast growth trends
analyzing-system-throughput
Analyze and optimize system throughput including request handling, data processing, and resource utilization. Use when identifying capacity limits or evaluating scaling strategies. Trigger with phrase
apollo-migration-deep-dive
Comprehensive Apollo.io migration strategies. Use when migrating from other CRMs to Apollo, consolidating data sources, or executing large-scale data migrations. Trigger with phrases like "apollo migr
building-websocket-server
Build scalable WebSocket servers for real-time bidirectional communication. Use when enabling real-time bidirectional communication. Trigger with phrases like "build WebSocket server", "add real-time
clay-advanced-troubleshooting
Deep-debug complex Clay enrichment failures, provider degradation, and data flow issues. Use when standard troubleshooting fails, investigating intermittent enrichment failures, or preparing detailed
clay-load-scale
Scale Clay enrichment pipelines for high-volume processing (10K-100K+ leads/month). Use when planning capacity for large enrichment runs, optimizing batch processing, or designing high-volume Clay arc
configuring-auto-scaling-policies
Configure use when you need to work with auto-scaling. This skill provides auto-scaling configuration with comprehensive guidance and automation. Trigger with phrases like "configure auto-scaling", "s
creating-kubernetes-deployments
Deploy applications to Kubernetes with production-ready manifests. Supports Deployments, Services, Ingress, HPA, ConfigMaps, Secrets, StatefulSets, and NetworkPolicies. Includes health checks, resourc
customerio-load-scale
Implement Customer.io load testing and horizontal scaling. Use when preparing for high traffic, running load tests, or designing queue-based architectures for scale. Trigger: "customer.io load test",
deepgram-reference-architecture
Implement Deepgram reference architecture for scalable transcription systems. Use when designing transcription pipelines, building production architectures, or planning Deepgram integration at scale.
engineering-features-for-machine-learning
Execute create, select, and transform features to improve machine learning model performance. Handles feature scaling, encoding, and importance analysis. Use when asked to "engineer features" or "sele
evernote-performance-tuning
Optimize Evernote integration performance. Use when improving response times, reducing API calls, or scaling Evernote integrations. Trigger with phrases like "evernote performance", "optimize evernote
evernote-reference-architecture
Reference architecture for Evernote integrations. Use when designing system architecture, planning integrations, or building scalable Evernote applications. Trigger with phrases like "evernote archite
exa-load-scale
Implement Exa load testing, capacity planning, and scaling strategies. Use when running performance tests, planning capacity for Exa integrations, or designing high-throughput search architectures. Tr
firecrawl-advanced-troubleshooting
Debug hard-to-diagnose Firecrawl issues with systematic isolation and evidence collection. Use when standard troubleshooting fails, investigating why scrapes return empty content, crawl jobs hang, or
firecrawl-architecture-variants
Choose and implement Firecrawl architecture patterns for different scales and use cases. Use when designing new Firecrawl integrations, choosing between on-demand/scheduled/pipeline architectures, or
firecrawl-load-scale
Load test and scale Firecrawl scraping pipelines with concurrency control and batching. Use when testing scraping throughput, planning capacity for large crawl jobs, or optimizing concurrent scrape pe
gamma-cost-tuning
Optimize Gamma usage costs and manage API spending. Use when reducing API costs, implementing usage quotas, or planning for scale with budget constraints. Trigger with phrases like "gamma cost", "gamm
granola-multi-env-setup
Configure Granola across multiple workspaces and teams with SSO/SCIM provisioning. Use when setting up department-level workspaces, configuring user provisioning, or managing enterprise-scale Granola
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.
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Prefer the terminal? osr stack apply registry://starter installs the starter template.