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Cogniac
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cogniac

Manage Cogniac platform resources via Python SDK and CLI.

7|Updated Apr 27, 2026
Search Tags:#ai#data analysis#computer vision#platform management#cogniac
One-click install
npx skills add https://github.com/Cogniac/skills --skill cogniac
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cogniac
Source: https://github.com/Cogniac/skills/tree/main/skills/cogniac
Command: npx skills add https://github.com/Cogniac/skills --skill cogniac

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires cogniac, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill allows you to manage and interact with the Cogniac computer vision platform efficiently, automating tasks and providing quick access to essential information.

Core Features & Use Cases

  • Platform Management: Handle tenant, application, subject, and media operations.
  • EdgeFlow & CloudFlow: Manage appliances and workflows for on-premise and cloud inference.
  • Data Analysis: Retrieve, analyze, and download media and model metrics.
  • Use Case: You can use this Skill to automate the process of uploading media for analysis, check the status of EdgeFlow appliances, or retrieve aggregate statistics for a specific time window.

Quick Start

Use the cogniac skill to list all applications in the current tenant.

Frequently Asked Questions about cogniac

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage tenants and applications on the Cogniac computer vision platform?▼

You can manage Cogniac tenants and applications by using this Skill to interact with the platform via the Python SDK and CLI. It provides automated functions for handling tenant, application, subject, and media operations directly.

Can I check the status of EdgeFlow and CloudFlow appliances using Python?▼

Yes, you can check the status of EdgeFlow and CloudFlow appliances using Python. This Skill interacts with the Cogniac platform to manage appliances and workflows for both on-premise and cloud inference environments.

What's the best way to retrieve and analyze media metrics from a computer vision platform?▼

The best way to retrieve and analyze media metrics is by using this Skill to interact with the Cogniac platform. It provides automated data retrieval functions to download media and extract aggregate model statistics for specific time windows.

Do I need the Cogniac Python SDK and CLI installed to automate platform management tasks?▼

Yes, you need the Cogniac Python SDK and CLI installed to automate platform management tasks. This Skill requires both dependencies to be present in your environment to interact with and manage platform resources effectively.

How does automated media uploading work for computer vision analysis?▼

Automated media uploading for computer vision analysis works by using this Skill to interact with the Cogniac platform. It streamlines your workflow by providing functions to upload media for analysis and manage subject operations automatically.

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