Menu

Individual skill

clarifai-guide

Build multimodal AI apps on Clarifai — model marketplace, pipelines, and computer vision plus language workflows.

skills/clarifai-guide/SKILL.md

Read pinned source

Source commit faf37c0859ebf627bfcb5225e8057d088691e0ae

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
No
Repository scan complete
No
Skill scan complete
Yes
Observed behavior
Not checked yet
Last checked
Nov 8, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
53
Repository last updated
Oct 10, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

## Overview

Clarifai is a full-stack AI platform with unusual breadth: a model marketplace
(pre-trained models across vision, language, and audio), tools for building
inference pipelines, dataset management, and model training/fine-tuning — all
behind unified APIs. The heritage is computer vision (image/video recognition
APIs), expanded into a general platform where you can compose models into
workflows spanning modalities.

The distinctive value is composition: Clarifai's workflows let you chain models
(a detector feeding a classifier feeding an LLM, for example) as a managed
pipeline, and the marketplace means you're rarely starting from zero — there's
usually a pre-trained model close to your task. For multimodal applications
mixing vision and language, it's a one-platform option worth evaluating.