krillinai-cli

Route KrillinAI CLI tasks across subtitle, TTS, and render stages.

10.7k|995|Updated Dec 17, 2024
One-click install
npx skills add https://github.com/krillinai/KrillinAI --skill krillinai-cli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: krillinai-cli
Source: https://github.com/krillinai/KrillinAI/tree/main/skills/krillinai-cli
Command: npx skills add https://github.com/krillinai/KrillinAI --skill krillinai-cli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill enables AI Agents to operate KrillinAI via its CLI, selecting the appropriate stage commands, inspecting outputs, and coordinating subtitle, TTS, and rendering tasks from a YouTube or local video input.

Core Features & Use Cases

  • Command routing: route to subtitle, tts, render-horizontal, and render-vertical stages via dedicated commands.
  • Output validation and standards: relies on standardized manifest outputs (krillinai_manifest.json) and JSON outputs to ensure reproducibility and debuggability.
  • Agent orchestration: enables AI Agents to compose end-to-end or partial KrillinAI workflows with clear stage boundaries and dry-run support.

Quick Start

Build the binary if needed and run the krillinai-cli with a subtitle command and a video input URL.

Frequently Asked Questions about krillinai-cli

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

FAQPage Schema
How do I automate video subtitle and TTS workflows with an AI agent?

To route KrillinAI tasks, an agent executes dedicated CLI commands for subtitle, TTS, or render stages. It enforces stable command contracts using krillinai_manifest.json outputs and requires a dedicated workdir with clear stage boundaries to ensure reproducible results.

What is the best way to orchestrate partial video rendering tasks from local files?

The best way to orchestrate partial video rendering is by toggling between render-horizontal and render-vertical CLI stages. This skill enables agents to compose partial workflows with clear stage boundaries and dry-run validation for reproducible results.

Does KrillinAI CLI support dry-run validation for agent workflows?

Yes, KrillinAI CLI supports dry-run validation. This allows AI agents to validate task routing and stage boundaries before executing subtitle, TTS, and rendering commands, ensuring reproducible results.

How do I validate outputs when automating subtitle and TTS generation?

Validating outputs for subtitle and TTS generation relies on standardized krillinai_manifest.json files. This skill enforces a stable command contract and uses JSON outputs to inspect stage results, ensuring reproducibility and debuggability.

Can I run horizontal and vertical video renders through a single CLI command?

No, horizontal and vertical video renders require separate dedicated CLI stages. This skill routes tasks through distinct render-horizontal and render-vertical commands, allowing agents to toggle between stages within a dedicated workdir.