video-editing

Solid

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

AI & Automation 199,470 stars 30623 forks Updated yesterday MIT

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Skill Content

# Video Editing AI-assisted editing for real footage. Not generation from prompts. Editing existing video fast. ## When to Activate - User wants to edit, cut, or structure video footage - Turning long recordings into short-form content - Building vlogs, tutorials, or demo videos from raw capture - Adding overlays, subtitles, music, or voiceover to existing video - Reframing video for different platforms (YouTube, TikTok, Instagram) - User says "edit video", "cut this footage", "make a vlog", or "video workflow" ## Core Thesis AI video editing is useful when you stop asking it to create the whole video and start using it to compress, structure, and augment real footage. The value is not generation. The value is compression. ## The Pipeline ``` Screen Studio / raw footage → Claude / Codex → FFmpeg → Remotion → ElevenLabs / fal.ai → Descript or CapCut ``` Each layer has a specific job. Do not skip layers. Do not try to make one tool do everything. ## Layer 1: Capture (Screen Studio / Raw Footage) Collect the source material: - **Screen Studio**: polished screen recordings for app demos, coding sessions, browser workflows - **Raw camera footage**: vlog footage, interviews, event recordings - **Desktop capture via VideoDB**: session recording with real-time context (see `videodb` skill) Output: raw files ready for organization. ## Layer 2: Organization (Claude / Codex) Use Claude Code or Codex to: - **Transcribe and label**: generate transcript, identify top...

Details

Author
affaan-m
Repository
affaan-m/ECC
Created
4 months ago
Last Updated
yesterday
Language
JavaScript
License
MIT

Integrates with

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