blitzreels-clipping

Creates vertical short clips from long videos via BlipReels' /clips state machine.

1|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/blitzreels/agent-skills --skill blitzreels-clipping
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: blitzreels-clipping
Source: https://github.com/blitzreels/agent-skills/tree/main/skills/blitzreels-clipping
Command: npx skills add https://github.com/blitzreels/agent-skills --skill blitzreels-clipping

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the problem of manually finding, timing, and exporting short vertical clips from long videos.

Core Features & Use Cases

  • Automated clipping workflow: Creates a clip run that performs ingest, transcription, suggestion generation, layout/captions application, and QA via the /clips state machine.
  • Best-moment selection with user control: Surfaces ranked alternatives so you can pick the best segment, reselection by suggestion, or manual time-range selection.
  • Quality guardrails: Follows next_action (poll, reselect, repair, export) and runs a bounded repair pass when visual QA fails, then continues to export when QA permits.

Quick Start

Ask the agent to clip the best moments from a YouTube video into a 9:16 vertical short with captions and QA enabled.

Frequently Asked Questions about blitzreels-clipping

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

FAQPage Schema
How do I turn a long YouTube video into a vertical short with captions?

To convert a long YouTube video into a vertical short, this Skill drives the BlitzReels API /clips state machine to ingest content, generate highlight suggestions, apply clip-window-aware captions, and export a ready-to-publish 9:16 clip.

What is the best way to automate clipping podcast highlights for short videos?

Automating podcast clipping involves creating a clip run via the /clips API, which handles transcription and multi-speaker reframing, then surfaces ranked highlight suggestions so you can manually reselect or export the best segments.

Can I manually select time ranges when repurposing video into shorts?

Yes, you can manually select time ranges for video clipping by using the reselect endpoint, allowing you to override automated highlight suggestions and define exact start and end points for your vertical short clips.

How does visual QA repair work when exporting vertical shorts?

Visual QA repair runs a bounded validation pass during the export workflow, and if it fails, the /clips state machine sets next_action to repair so you can resolve visual issues before proceeding to export the final vertical short.

What should I do if the video clipping workflow is blocked before export?

If the video clipping workflow is blocked before export, you should check the next_action status from the GET /clips endpoint and use the POST /clips repair or reselect endpoints to resolve QA failures or choose alternative highlights.