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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.
dd-audit-cost-spike-investigation
Investigate a Datadog product usage or cost spike by correlating Usage Metering data (when/what spiked) with Audit Trail config changes (who changed what in the preceding window).
assemblyai-cost-tuning
Optimize AssemblyAI costs through model selection, feature budgeting, and usage monitoring. Use when analyzing AssemblyAI billing, reducing transcription costs, or implementing usage monitoring and bu
coreweave-gpu-cost-leak-hunter
Hunt down CoreWeave GPU cost leaks — idle reserved capacity, wrong-GPU-type right-sizing waste, allocated-but-idle instances, and on-demand spend that should be committed — then produce a CFO-grokkabl
databricks-cost-leak-hunter
Hunt down Databricks cost leaks — wasted DBUs, idle clusters, oversized SQL warehouses, and untagged runaway spend — and produce a FinOps cost report. Use when a user asks why their Databricks bill is
elevenlabs-cost-tuning
Optimize ElevenLabs costs through model selection, character-efficient patterns, caching, and usage monitoring with budget alerts. Use when analyzing ElevenLabs billing, reducing character usage, hunt
langchain-cost-tuning
Control LangChain 1.0 AI spend with accurate streaming token accounting, model tiering, provider-specific cache hit tuning, per-tenant budgets, and retry dedup. Use when AI spend grows faster than tra
assemblyai-cost-tuning
Optimize AssemblyAI costs through model selection, feature budgeting, and usage monitoring. Use when analyzing AssemblyAI billing, reducing transcription costs, or implementing usage monitoring and bu
clade-cost-tuning
Optimize Anthropic API costs — model selection, prompt caching, batches, Use when working with cost-tuning patterns. token reduction, and usage monitoring. Trigger with "anthropic pricing", "claude co
coreweave-gpu-cost-leak-hunter
Hunt down CoreWeave GPU cost leaks — idle reserved capacity, wrong-GPU-type right-sizing waste, allocated-but-idle instances, and on-demand spend that should be committed — then produce a CFO-grokkabl
databricks-cost-leak-hunter
Hunt down Databricks cost leaks — wasted DBUs, idle clusters, oversized SQL warehouses, and untagged runaway spend — and produce a FinOps cost report. Use when a user asks why their Databricks bill is
elevenlabs-cost-tuning
Optimize ElevenLabs costs through model selection, character-efficient patterns, caching, and usage monitoring with budget alerts. Use when analyzing ElevenLabs billing, reducing character usage, hunt
langchain-cost-tuning
Control LangChain 1.0 AI spend with accurate streaming token accounting, model tiering, provider-specific cache hit tuning, per-tenant budgets, and retry dedup. Use when AI spend grows faster than tra
notion-cost-tuning
Optimize Notion API usage to minimize rate-limit pressure, reduce engineering overhead, and maximize throughput. Use when auditing request volume, eliminating redundant API calls, implementing caching
palantir-cost-tuning
Optimize Palantir Foundry costs through compute tuning, incremental builds, and usage monitoring. Use when analyzing Foundry compute costs, reducing API usage, or implementing cost monitoring for Foun
ai-agent-cost-optimizer
Audit and reduce AI agent token and inference spend through context discipline, prompt caching, model routing, batching, and workflow capture. Use when discussing AI coding bills, token waste, model s
spend-audit
Audits a Webshare account for wasted proxy spend and recommends plan adjustments based on the account's own historical usage, using the webshare CLI. Use periodically (e.g. monthly) or whenever asked
cost-accrual-tracker
Track real-time API cost accrual during LLM execution. Activate on 'cost tracking', 'token usage', 'API costs', 'budget monitoring', 'usage metrics'. NOT for cost estimation, pricing tiers, or billing
cost-optimizer
Tracks cumulative LLM costs across DAG execution and makes real-time decisions to stay within budget. Downgrades models, skips optional nodes, or stops early when cost exceeds thresholds. Use when man
cost-verification-auditor
Audit LLM token cost estimates against actual API usage. Activate on 'cost verification', 'token estimate accuracy', 'API cost audit', 'estimation variance'. NOT for pricing lookups, budget planning,
llm-cost-optimizer
Track, analyze, and reduce LLM API costs — model routing, prompt caching, semantic caching, and budget alerts. Use when someone asks to "reduce AI costs", "track LLM spending", "optimize API costs", "
openrouter
You are an expert in OpenRouter, the unified API gateway for accessing 200+ LLMs through a single OpenAI-compatible endpoint. You help developers route requests to GPT-4o, Claude, Gemini, Llama, Mistr
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.