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video-editing

Video editing pipeline: cut footage, assemble clips via FFmpeg and Remotion.

Install / Use

npx skills add notque/vexjoy-agent --skill video-editing

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

85/100

Category

Automation

Supported Platforms

Universal

Our assessment of video-editing

video-editing scores 85/100 on our quality scale, 1986th of 2,931 Automation skills we index.

Its SKILL.md is 9.1 KB long, well organised into 16 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.

It has 425 GitHub stars, a meaningful sign that others use it.

Substance
29/30
Structure
18/20
Description
12/15
Adoption
11/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 12 days ago, so video-editing is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-10-15. Automated pattern scan on 2026-10-15. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

video-editing compared with similar skills

All 4 of these similar skills score higher than video-editing; compare them before choosing.

SkillScoreStarsUpdatedFormat
video-editing (this skill)by notque8542512d agoSKILL.md
Agent-Reachby Panniantong10097.6ktodayCLAUDE.md
taste-skillby Leonxlnx10097.0ktodayCLAUDE.md
headroomby headroomlabs-ai10075.4ktodayCLAUDE.md
Scraplingby D4Vinci10087.7ktodayMCP Server

Frequently asked questions

How do I install video-editing?
Run npx skills add notque/vexjoy-agent --skill video-editing. The install tabs above show the steps for each supported agent.
Which AI agents does video-editing work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is video-editing safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is video-editing still maintained?
The repository was last updated 12 days ago, so video-editing is actively maintained.

name: video-editing description: "Video editing pipeline: cut footage, assemble clips via FFmpeg and Remotion." user-invocable: false agent: python-general-engineer allowed-tools:

  • Read
  • Write
  • Bash
  • Grep
  • Glob
  • Edit
  • Task
  • Skill routing: category: video-creation triggers:
    • edit video
    • cut footage
    • make vlog
    • screen recording
    • video workflow
    • ffmpeg
    • remotion
    • demo video
    • make a clip
    • assemble clips
    • video editing
    • image to video
    • audio visualization
    • static video
    • mp4 from image
    • music video
    • podcast video
    • video from image
    • combine image audio
    • album art video
    • cover art video
    • video transcript
    • youtube transcript
    • extract transcript
    • download subtitles
    • what does this video say pairs_with:
    • typescript-frontend-engineer
    • research

Video Editing Skill

Overview

This skill implements a 6-layer pipeline where AI handles judgment tasks (what to keep, what to cut, highlight selection) and FFmpeg/Remotion handle mechanical execution deterministically.

| Layer | Name | Mechanism | Primary Tool | |-------|------|-----------|-------------| | 1 | CAPTURE | Inventory source footage | Bash + Glob | | 2 | AI STRUCTURE | Transcript to EDL | LLM judgment | | 3 | FFMPEG CUTS | EDL to segment files | FFmpeg (deterministic) | | 4 | REMOTION COMPOSITION | Segments to TSX composition | Remotion + TypeScript | | 5 | AI GENERATION | Fill gaps with generated assets | ElevenLabs / fal.ai (conditional) | | 6 | FINAL POLISH | Human taste layer | Human + NLE |


Deep References

| Signal | Load | Content | |---|---|---| | Shell commands for each phase, gate checks | references/phase-commands.md | Full command blocks for Phases 1-6 | | FFmpeg recipes: cutting, concat, proxy, detection | references/ffmpeg-commands.md | Timestamp extraction, batch cutting, audio normalization, scene/silence detection | | Remotion composition scaffold | references/remotion-scaffold.md | TSX composition template, render command, reuse patterns | | Image-to-video pipeline | references/image-to-video.md | Validate, prepare, encode, verify workflow | | FFmpeg filter graphs for visualization | references/ffmpeg-filters.md | Scale/pad, showwaves, showspectrum, overlay, complete filter graphs |

Instructions

Preflight (Run before Phase 1)

Hard requirements (BLOCK if missing): ffmpeg (all phases), node (Remotion / npx). Soft requirements (WARN if missing): remotion (only required for Phase 4).

which ffmpeg >/dev/null 2>&1 || { echo "ERROR: ffmpeg not found. Install: brew install ffmpeg (macOS) | apt install ffmpeg (Linux)"; exit 1; }
which node >/dev/null 2>&1 || { echo "ERROR: node not found. Install: https://nodejs.org or via nvm"; exit 1; }
npx remotion --version >/dev/null 2>&1 || echo "WARNING: remotion CLI not found. Phase 4 unavailable. Install: npm install @remotion/cli"

Phase 1: CAPTURE

Goal: Inventory all source footage and confirm files exist on disk before any processing.

Constraint: Source files are read-only. All FFmpeg commands write to new files only. Never overwrite source footage.

Steps: locate source files (find), inspect each with ffprobe, generate proxies for files >10 min (see references/ffmpeg-commands.md -> Proxy Generation), create working directories (segments/, assembled/). Full command block: references/phase-commands.md -> Phase 1.

Gate: Source files confirmed on disk. File list written to source-inventory.txt. Proceed only when gate passes.


Phase 2: AI STRUCTURE

Goal: Analyze content and produce a written EDL (cuts.txt) that drives all downstream cutting.

Constraint: cuts.txt is the contract. The EDL file is the only source of truth for downstream phases. Do not hand-edit FFmpeg commands — generate them from the EDL.

Constraint: Before writing the EDL manually, run FFmpeg scene/silence detection. Detection output informs judgment, not replaces it.

Steps: transcribe with whisper/AssemblyAI, run scene/silence detection, apply judgment (what advances narrative, what is filler, target duration), write cuts.txt in EDL format START_TIME,END_TIME,LABEL, review for overlap and total duration. Full command block and EDL format example: references/phase-commands.md -> Phase 2.

Gate: transcript.txt exists. cuts.txt written to disk. Proceed only when both files exist.


Phase 3: FFMPEG CUTS

Goal: Execute the EDL deterministically — one FFmpeg cut per segment in cuts.txt.

Constraint: Batch-cut from EDL using a loop. Do not create individual FFmpeg commands per cut. This ensures reproducibility and review capability as a list.

Constraint: Always generate concat-list.txt from cuts.txt order, not from shell glob. Shell glob (segments/*.mp4) sorts alphabetically, not by EDL order.

Steps: batch-cut from EDL with while loop (libx264/aac, -avoid_negative_ts make_zero), verify segments, generate concat-list.txt in EDL order, concat with -f concat -safe 0 -c copy. Full command block: references/phase-commands.md -> Phase 3. See also references/ffmpeg-commands.md -> Batch Cutting.

Gate: All segment files exist. assembled/rough-cut.mp4 written to disk. Proceed only when gate passes.


Phase 4: REMOTION COMPOSITION

Goal: Wrap segments in a Remotion TSX composition for programmatic overlays, titles, or transitions.

When to use: Only when rough-cut.mp4 requires programmatic elements (animated titles, lower thirds, caption tracks, brand overlays). If rough-cut.mp4 is sufficient, skip to Phase 6.

Constraint: Layer 4 requires TypeScript/React. Hand off to typescript-frontend-engineer for TSX work; return to python-general-engineer for Phase 5 onward.

Steps: initialize Remotion (npm create video@latest first time; otherwise npm install @remotion/cli @remotion/player remotion), scaffold composition (see references/remotion-scaffold.md), render with npx remotion render. Full command block: references/phase-commands.md -> Phase 4.

Gate: assembled/remotion-output.mp4 exists. Proceed only when gate passes.


Phase 5: AI GENERATION

Goal: Fill genuine gaps in source material with generated assets — only when needed.

Constraint: Check whether existing footage covers the gap before generating anything. Generate only what doesn't exist.

Decision tree: cut around the gap → update cuts.txt and re-run Phase 3; voiceover → ElevenLabs (authorization required); music → fal.ai (defer to fal-ai-media); b-roll → fal.ai (defer to fal-ai-media). ElevenLabs Python helper, authorization pattern, and save-to-disk flow: references/phase-commands.md -> Phase 5.

Gate: All required generated assets saved to assets/ directory before proceeding.


Phase 6: FINAL POLISH

Goal: Deliver assembled output and hand off taste-layer work to human.

Constraint: Layer 6 is human territory. The skill assembles; the human finishes. The following require human judgment and should not be attempted programmatically:

  • Color grading and color matching between clips
  • Music timing and volume ducking
  • Caption style, font, positioning
  • Transition timing and style
  • Final audio mix levels

Handoff template (handoff-notes.txt with source list, EDL, rough-cut path, remaining-for-human checklist): references/phase-commands.md -> Phase 6.

Gate: assembled/rough-cut.mp4 (or assembled/remotion-output.mp4) exists. handoff-notes.txt written to disk.


Video Transcript Extraction

Pull a video's transcript as readable paragraphs. Prefer uploader subtitles; fall back to auto-generated.

# Path 1: uploader subtitles (accurate)
yt-dlp --skip-download --write-subs --sub-langs en --sub-format vtt -o '<work-dir>/%(id)s' '<URL>'
# Path 2: auto-generated (fallback when path 1 writes no file)
yt-dlp --skip-download --write-auto-subs --sub-langs en --sub-format vtt -o '<work-dir>/%(id)s' '<URL>'
# Clean VTT to paragraphs
python3 skills/research/video-transcript/scripts/vtt_to_paragraph.py <work-dir>/<id>.en.vtt

Options: --timestamps for [mm:ss] markers, --keep-brackets for cue tags, -o FILE for file output. Other languages: change --sub-langs. List available: yt-dlp --list-subs '<URL>'.

Error Handling

| Error | Cause | Solution | |-------|-------|----------| | "No such file or directory" on source | Path in cuts.txt doesn't match filename | Run cat source-inventory.txt. Quote paths with spaces. | | FFmpeg "Invalid option" or codec errors | Codec unavailable or flag syntax error | ffmpeg -codecs \| grep libx264. Fall back to -c:v copy. | | Remotion "Could not find composition" | Composition ID mismatch | Check src/index.ts for registered ID. Match exactly in render command. | | Segments concat in wrong order | Shell glob sorts alphabetically, not by EDL | Generate concat-list.txt from cuts.txt order, not from glob. | | ElevenLabs 401 | ELEVENLABS_API_KEY not set | export ELEVENLABS_API_KEY=your_key before Phase 5. | | No .vtt file from transcript extraction | Video has no subtitles in requested language | yt-dlp --list-subs '<URL>' and pick an available language. |

Related Skills

View on GitHub
GitHub Stars425
CategoryAutomation
Updated12d ago
Forks48

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions
video-editing — Universal Skill: Install & Safety Check | SkillAgent