Agent skill · research science · replicate
find-models
Find AI models on Replicate using search and curated collections.
Why this skill is useful
Provides specific API commands and domain knowledge for effectively finding and using AI models on Replicate that the AI wouldn't reliably generate on its own.
What it needs
Requires replicate account access. About 2k tokens when loaded. Last updated 2026-06-04. 53 stars on the source repository.
What this skill does
Always search the API for current models The AI model landscape changes weekly. New models ship constantly and older ones are deprecated or surpassed. Don't rely on model names you've seen before, including names from past conversations or training data. A specific model you "know" may no longer be the best choice, may be slower than newer alternatives, or may not exist anymore. Always start by querying the Replicate API. Use search and collections to discover what's currently available, then read schemas to understand inputs and outputs before running anything. Docs Reference: <https://replicate.com/docs/llms.txt> OpenAPI schema: <https://api.replicate.com/openapi.json> MCP server: <https://mcp.replicate.com> Per-model docs: https://replicate.com/{owner}/{model}/llms.txt Set Accept: text/markdown when requesting docs pages for Markdown responses. Search Use the search API (GET /v1/search?query=...) to find models by task. Returns models, collections, and docs. Search returns metadata for each model including tags, generateddescription, and runcount. The search API also returns matching collections alongside model results. Avoid listing all models via API. It's a firehose. Use targeted queries. Collections Collections are curated groups of models maintained by Replicate staff. The official collection contains always-warm models with stable APIs and predictable pricing. Use collections to narrow a shortlist before deep comparison. List collections with GET /v1/collections. Get one by slug with GET /v1/collections/{slug}. Reading model schemas Every model exposes its input/output schema via the models API (GET /v1/models/{owner}/{name}). Schema path: model.latestversion.openapischema.components.schemas.Input.properties Each property may include: type, description, default, minimum/maximum, enum, format (e.g. uri for file inputs). Always fetch the schema before running a model. Schemas change. Picking the right model Prefer official models. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills replicate/find-models