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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.
miro-performance-tuning
Optimize Miro REST API v2 performance with caching, cursor pagination, request batching, and connection pooling for high-throughput integrations. Trigger with phrases like "miro performance", "optimiz
miro-rate-limits
Implement Miro REST API v2 rate limiting with the credit-based system, exponential backoff, and request queuing. Trigger with phrases like "miro rate limit", "miro throttling", "miro 429", "miro retry
mistral-performance-tuning
Optimize Mistral AI performance with caching, batching, and latency reduction. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Mistral A
obsidian-observability
Implement structured logging, metrics, error tracking, and a debug panel for Obsidian plugins. Use when adding debug logging, tracking plugin performance, building a diagnostics view, or setting up er
obsidian-performance-tuning
Optimize Obsidian plugin performance for smooth operation in large vaults. Use when experiencing lag, memory issues, slow startup, or optimizing plugin code for vaults with thousands of files. Trigger
openrouter-performance-tuning
Optimize OpenRouter request latency and throughput. Use when building real-time applications, reducing TTFT, or scaling request volume. Triggers: 'openrouter performance', 'openrouter latency', 'openr
palantir-performance-tuning
Optimize Palantir Foundry API performance with caching, batching, and pagination. Use when experiencing slow API responses, optimizing transform builds, or improving request throughput for Foundry int
posthog-performance-tuning
Optimize PostHog performance: local flag evaluation, client batching config, event sampling, efficient HogQL queries, and serverless flush patterns. Trigger: "posthog performance", "optimize posthog",
replit-performance-tuning
Optimize Replit app performance: cold start, memory, Nix caching, and deployment speed. Use when experiencing slow startup, high memory usage, deployment timeouts, or optimizing Replit container resou
sentry-performance-tracing
Set up performance monitoring and distributed tracing with Sentry. Use when implementing performance tracking, tracing requests, or monitoring application performance. Trigger with phrases like "sentr
sentry-performance-tuning
Optimize Sentry performance monitoring for lower overhead and higher signal. Use when tuning tracesSampleRate vs tracesSampler, configuring continuous profiling, fixing high-cardinality transaction na
windsurf-performance-profiling
Profile and optimize code with AI-assisted analysis. Activate when users mention "performance profiling", "optimize performance", "bottleneck analysis", "profiling", or "performance tuning". Handles p
snowflake-query-forensics
Audit, analyze, and diagnose completed or failed Snowflake queries from query history, Query Insights, and GET_QUERY_OPERATOR_STATS evidence. Use when investigating slow queries, queueing, lock waits,
supabase-advanced-troubleshooting
Deep Supabase diagnostics: pg_stat_statements for slow queries, lock debugging with pg_locks, connection leak detection, RLS policy conflicts, Edge Function cold starts, and Realtime connection drop a
supabase-performance-tuning
Optimize Supabase query performance with indexes, EXPLAIN ANALYZE, connection pooling, column selection, pagination, RPC functions, materialized views, and diagnostics. Use when queries are slow, conn
twinmind-performance-tuning
Optimize TwinMind transcription accuracy and speed with Ear-3 model configuration, audio quality tuning, and caching strategies. Use when implementing performance tuning, or managing TwinMind meeting
vastai-performance-tuning
Optimize Vast.ai GPU instance selection, startup time, and training throughput. Use when optimizing instance selection, reducing startup latency, or maximizing GPU utilization on rented hardware. Trig
vercel-edge-functions
Build and deploy Vercel Edge Functions for ultra-low latency at the edge. Use when creating API routes with minimal latency, geolocation-based routing, A/B testing, or authentication at the edge. Trig
vercel-performance-tuning
Optimize Vercel deployment performance with caching, bundle optimization, and cold start reduction. Use when experiencing slow page loads, optimizing Core Web Vitals, or reducing serverless function c
windsurf-performance-tuning
Optimize Windsurf IDE performance: indexing speed, Cascade responsiveness, and memory usage. Use when Windsurf is slow, indexing takes too long, Cascade times out, or the IDE uses too much memory. Tri
running-performance-tests
Execute load testing, stress testing, and performance benchmarking. Use when performing specialized testing. Trigger with phrases like "run load tests", "test performance", or "benchmark the system".
aggregating-performance-metrics
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services. Use when consolidating monitoring data from multiple sources. Trigger with phrases like "aggre
alchemy-performance-tuning
Optimize Alchemy SDK performance with caching, batching, and multi-chain parallelism. Use when reducing latency for blockchain queries, optimizing CU consumption, or scaling dApps for high request vol
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
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.