video-generation

name	video-generation
description	End-to-end AI video production through the Hyper MCP — text-to-video and image-to-video generation (Sora, Veo, Seedance), scene chaining, video analysis, transcription, subtitles, TikTok / karaoke captions, voiceover (TTS), audio mixing, clipping, stitching, and text overlays. Use when the user asks to generate a video, create UGC, scene-chain, add captions or subtitles, add narration, stitch clips, clip a podcast highlight, or do any AI video editing.
requires_toolkits	["video_generation_toolkit"]
icon	video_generation
short_description	Generate and edit AI video end-to-end, from scene chaining to captions and voiceover.

Video Generation & Editing

Guide for generating, editing, analyzing, and post-processing videos using AI models and FFmpeg-backed tools exposed through the Hyper MCP.

Requirements

This skill assumes the Hyper MCP is connected to your agent so the tools below are available. The underlying providers (OpenAI Sora, Google Veo, ByteDance Seedance, OpenAI TTS, transcription, etc.) are configured under your Hyper integrations.

Tool surface

Group	Tools
Generation	videos_generate, sora_videos_remix, sora_videos_delete
Analysis	videos_analyze, videos_frames_capture, videos_transcribe
Subtitles & captions	videos_subtitles_generate, videos_subtitles_burn, videos_captions_burn_highlighted
Audio	audio_speech_generate, videos_audio_add
Editing	videos_clips_extract, videos_stitch, videos_text_overlays_add

Out of scope

• Image generation, ad creative composition, brand extraction — use image-generation or ad-creative-generation.
• Posting finished videos to social platforms — use tiktok, instagram, or linkedin.
• Running paid video campaigns — use google-ads, meta-ads, tiktok-ads.

Available Tools

Tool	Purpose	Runs in Background
videos_generate	Generate video from text / image prompt	Yes
sora_videos_remix	Modify existing Sora video	Yes
sora_videos_delete	Delete a Sora video	No
videos_frames_capture	Extract frame as image	No
videos_analyze	Watch and understand video content	No
videos_transcribe	Extract audio transcript	No
videos_subtitles_generate	Create SRT / VTT subtitle file	No
videos_subtitles_burn	Burn subtitles onto video	Yes
videos_captions_burn_highlighted	TikTok / karaoke-style word-by-word captions	Yes
audio_speech_generate	Generate voiceover audio from text	No
videos_audio_add	Add / replace audio track on video	Yes
videos_clips_extract	Extract a time segment from video	Yes
videos_stitch	Concatenate multiple clips	Yes
videos_text_overlays_add	Add text / titles to video	Yes

Video Understanding

You can watch and analyze any video using videos_analyze. This sends the video to a multimodal AI that sees both visual and audio content.

When to use videos_analyze

• After generating a video: check if it matches your intent
• Before stitching: verify scene consistency across clips
• Quality review: check for glitches, character drift, lighting issues
• Content understanding: "what happens in this video?"

Analysis Types

videos_analyze(file_id="...", analysis_type="general")
videos_analyze(file_id="...", analysis_type="quality_review")
videos_analyze(file_id="...", analysis_type="scene_breakdown")
videos_analyze(file_id="...", question="Does this match: [original prompt]?")

Self-Review Workflow

Always review generated videos before delivering to the user:

result = videos_generate(prompt="...", model="veo-3.1-generate-preview")
review = videos_analyze(file_id="video_file_id", analysis_type="quality_review")
# If issues found, regenerate with adjustments. If quality is good, proceed to editing.

Routing table

All reference files live in references/. Read them at references/<file> (e.g. references/generation.md).

The user wants to…	Read these files first
Generate a video (any model)	references/generation.md — model selection, parameter matrix, prompt templates
Build a longer multi-scene video	references/generation.md — script planning + scene chaining
Add subtitles / captions / voiceover / overlays, or clip a video	references/post-production.md
Produce UGC / TikTok content end-to-end	references/ugc-video.md (ugc_videos_create modes) → references/workflows.md
Shape a prompt for a specific model (Sora / Veo / Seedance / Kling)	references/video-prompting.md
Turn a podcast / long video into short clips	references/workflows.md → references/post-production.md
Understand or QA an existing video	Use videos_analyze (see Video Understanding above)

Best Practices

1. Review before delivering: always use videos_analyze to check your output.
2. Maintain visual consistency: use the same character descriptions, lighting, and style across all scenes.
3. Plan transitions: design the end of each scene to flow into the next.
4. Batch similar scenes: generate scenes with similar settings together.
5. Review before chaining: check each scene before using its last frame for the next.
6. Use single-variable iteration: remix / regenerate by changing one variable at a time.
7. Add captions for accessibility: use the subtitle pipeline for all UGC content.