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Agents, skills, personas, prompts, templates and tools you can inspect, install and route through the same policy as a model: what publishers list here directly, next to an index of the open ecosystems - MCP servers, agent skills, prompt libraries - so one search covers both. Free listings publish straight away and paid ones are reviewed first. Rate what you use so the best rises to the top.
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.
Manage ownership, retention, and cleanup of downloaded weather data across one-shot jobs, interactive viewers, caches, failures, and cancellation.
Diagnose slow weather-data workflows by measuring discovery, transfer, parsing, scientific processing, and rendering separately before changing code.
Automate weather-based workflows, forecasts, alerts, and location-aware notifications
Manage ownership, retention, and cleanup of downloaded weather data across one-shot jobs, interactive viewers, caches, failures, and cancellation.
Diagnose slow weather-data workflows by measuring discovery, transfer, parsing, scientific processing, and rendering separately before changing code.
Interpret weather radar and satellite observations by validating product metadata and geometry, deriving storm and cloud structures, tracking evolution, and quantifying uncertainty.
Manage ownership, retention, and cleanup of downloaded weather data across one-shot jobs, interactive viewers, caches, failures, and cancellation.
Record and verify provenance manifests for weather-data inputs and derived artifacts, including object identity, selections, software versions, transformations, and hashes.
Retrieve numerical weather prediction data from public AWS S3 and HTTP archives using GRIB2 inventories, byte ranges, Herbie, provider fallbacks, and verified caching.
Resolve the newest complete numerical weather prediction cycle and forecast objects across provider mirrors without downloading full payloads.
Retrieve surface and upper-air weather observations from authoritative APIs and archives with station identity, time, units, and quality flags preserved.
Diagnose slow weather-data workflows by measuring discovery, transfer, parsing, scientific processing, and rendering separately before changing code.
Access official NOAA/NCEP MRMS radar and multisensor composites for a region and time; validate product, grid, domain, quality, timestamp, and provenance.
Construct a quality-aware NEXRAD multi-radar mosaic from aligned single-site products with explicit coverage, beam geometry, quality weighting, overlap resolution, and provenance.
Discover and access NEXRAD data for a selected radar site, time, product, or Level II moment using completed archive volumes, real-time chunks, or supported Level III sources with metadata validation.
Plot NEXRAD Level II/III site scans and decoded radar mosaics with correct radar geometry, map grids, units, quality masks, timestamps, and provenance.
Retrieve NOAA NEXRAD and GOES products from public cloud archives using verified site, product, channel, sector, and scan-time selection.
Search or browse by kind. Every card shows who made it, how many people installed it and what they think.
One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.
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.
Photo: RDNE Stock project
