Blitzreels clipping

Skill blitzreels/agent-skills/skills/blitzreels-clipping

Create, select, reframe, repair, caption, or export short clips from long-form media, including supported YouTube, Instagram, TikTok, X, Facebook, Google Drive, and direct video URLs.From its SKILL.md

Install

npx -y skills add blitzreels/agent-skills --skill blitzreels-clipping

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.7 KB, as published. Nobody here has run it

BlitzReels Clipping

Use the managed clip state machine. It owns ingest, transcription, selection, layout, captions, QA, repair, and export sequencing.

Steps

Resolve the source as a supported public video URL or workspace asset ID and resolve selection intent. Use a provided time range or suggestion; use automatic best selection only when choice is delegated. Complete when source and selection mode are explicit.
Choose the available surface. Prefer the bundled MCP clips_create tool; otherwise discover the current contract with blitzreels agent-context --command "clips create" --json or the OpenAPI /clips operations. Complete when required inputs, mutation effects, and state fields are known.
Create with a caller-generated idempotency key. Complete when the response contains a clip ID, project ID, state, and next_action.
For MCP batches, follow batch.polling with clips_get. For managed API clips, follow next_action: poll, reselect, repair, export, or stop. Complete each transition only when the next response advances or reaches a terminal state.
When the user retained selection choice, present available alternatives with title, hook, range, duration, and score; reselect the approved ID or range. Complete when the chosen selection is persisted.
Validate layout intent. Tutorial layout is for flattened screen-share plus facecam footage. Interview and podcast footage use automatic, split, or focus layouts. Complete when applied layout and content type agree.
Review QA previews and warnings; run only the repair action offered by current state. Complete when QA passes or the state reports a specific unresolved block.
Start a paid export only after user approval and an export-ready state. Poll to terminal and verify output duration, aspect ratio, captions, framing, and download location.

Manual branch

Use low-level project media, transcript, timeline, caption, and preview operations only when managed state reports a specific block requiring manual control.

Return to the managed clip after the repair instead of rebuilding its state machine with low-level calls.

Completion

Return clip and project IDs, selected range, applied layout, QA result, warnings, export status, and download location.

If blocked, return next_action, the exact blocking state, and the user choice or system state required. Completion requires a verified terminal output or an explicit managed-state blocker.