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video-generation

Design & creation

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Updated 10-15 22:15

About this skill

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 (Google Veo, ByteDance Seedance, OpenAI TTS, transcription, etc.) are configured under your Hyper integrations.

How to run the tools in this skill

Every tool in this skill is named by its canonical tool name. Run it with the call your surface gives you:

Surface Find a tool Run it
MCP client (Claude, Cursor, Codex, ChatGPT) search("<what you want to do>"), then describe("<name>") call("<name>", {...})
Hyper CLI hyperai search "<what you want to do>", then hyperai describe <name> hyperai call <name> --json '{...}'

If a tool is not found, its integration is not connected or not enabled for the workspace: stop and tell the user which integration to connect.

Tool surface

Group Tools
Generation videos_generate
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
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 (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.