krillinai-pipeline

Plan multi-stage KrillinAI CLI workflows for subtitle, TTS, and rendering tasks.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Planning and orchestrating multi-stage KrillinAI CLI workflows, so teams can design end-to-end pipelines without wiring execution yet, reducing manual coordination and errors.

Core Features & Use Cases

  • End-to-end pipeline planning across multiple stages (subtitle, TTS, rendering, cover generation) for localization workflows.
  • Stage-wise outputs and artifact reuse guidance to simplify debugging and experimentation.
  • Flexible use cases for human operators and AI Agents to outline, validate, and orchestrate complex workflows before execution.

Quick Start

Plan an end-to-end KrillinAI CLI workflow for subtitle, TTS, and rendering and review the proposed steps.

Frequently Asked Questions about krillinai-pipeline

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

FAQPage Schema
How do I plan a multi-stage localization workflow for subtitle, TTS, and rendering tasks?

Plan a multi-stage localization workflow by defining endpoint outputs, error handling, and recovery strategies for subtitle, TTS, and rendering tasks. This ensures compatibility with krillinai-manifest.json and orchestrates pipelines before execution.

What is an end-to-end CLI workflow orchestration pipeline for video localization?

An end-to-end CLI workflow orchestration pipeline designs automated localization sequences across subtitle, TTS, and rendering stages. It specifies optional steps and intermediate artifact reuse to simplify debugging and experimentation without manual coordination.

Can I reuse intermediate artifacts across different stages of a multi-stage localization pipeline?

Yes, you can reuse intermediate artifacts across stages in a localization pipeline. The workflow planning provides stage-wise outputs and artifact reuse guidance, enabling teams to debug and experiment without re-processing entire sequences.

How do I specify error handling and recovery strategies for an automated localization pipeline?

Specify error handling and recovery strategies by defining endpoint outputs and fallback procedures within the workflow plan. This ensures the automated localization pipeline maintains compatibility with krillinai-manifest.json during execution.

Does the KrillinAI workflow planning support optional steps for cover generation and TTS?

Yes, the workflow planning supports optional steps for cover generation, TTS, and subtitles. It allows human operators and AI Agents to outline and validate complex localization workflows with flexible stage inclusion before actual execution.

What are the limitations of planning localization workflows without wiring execution?

Planning localization workflows without wiring execution focuses solely on outlining and validating steps rather than running them. Teams must subsequently implement the specified endpoint outputs and pipeline commands to execute the designed workflow.