agentleFS
codeonym-osscodeonym-oss/design-skills/skills/video-editing/SKILL.md

video-editing

Skill0 starsChanged 48 days agoMITView on GitHub

Video editing and delivery with Kdenlive (desktop) and MLT/melt + ffmpeg 8 (x264/x265/SVT-AV1/VP9, VAAPI when a GPU is available) running headlessly in a reproducible container. Use when the user wants to edit a video (tutorial, demo, vlog, promo, reel), cut/trim/concatenate clips, add titles/subtitles/music, fix or normalize audio, export for YouTube/LinkedIn/Instagram/TikTok/web, make GIFs, pull thumbnails, or render a Kdenlive project from the terminal.

56 other projects use a version of this, 1 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use everything-claude-code-conventions, agent-sort and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • mryeastcodeSkill

    everything-claude-code-conventions

    Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

    Also in 8 projects that use this

  • niloykumarbarmanSkill

    agent-sort

    Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

    Also in 8 projects that use this

  • ysyecustSkill

    brand-discovery

    Use when a brand needs to discover or articulate its identity through structured multi-session interviews. Covers purpose, positioning, audience, personality, voice, narrative, and founder-brand tension across 8 modules using laddering, 5 Whys, and projective techniques. Produces a resumable session with disk-persisted state and a master brandbook (90_SYNTHESIS.md).

    Also in 4 projects that use this

  • ysyecustSkill

    competitive-report-structure

    Use after benchmark-methodology has produced scored competitor profile cards. Assembles findings into a decision-grade report: landscape map, competitor profiles, benchmarking matrix, white-space analysis, strategic recommendations, and team alignment trigger questions. Final step in the three-skill competitive pipeline.

    Also in 4 projects that use this

  • tpavanipradeepSkill

    nextjs-turbopack

    Next.js 16+ and Turbopack — incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.

    Also in 14 projects that use this

  • CodeWithBehnamSkill

    dmux-workflows

    Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.

    Also in 16 projects that use this

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 49 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Keep masters (archive preset or lossless), deliver platform versions from them.

    line 46

“Common” is measured: kept by at least 6 in 10 of the 49 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Video editing (ffmpeg · melt · Kdenlive)

Scripts run inside the design-skills container automatically (bash <skill-dir>/scripts/<name>.sh …, see design-sandbox). render-project.sh needs the full image (melt); the ffmpeg scripts run in core.

Toolkit

ToolUse it forCLI (in the container)
ffmpeg 8Encode, convert, trim, loudness, GIFs; x264, x265, SVT-AV1, VP9ffmpeg, ffprobe
melt 7 (MLT) (full image)Kdenlive's render engine — renders .kdenlive projects headlesslymelt
KdenliveMulti-track editing: cuts, titles, transitions, color, audio, subtitlesdesktop app (Windows/macOS/Linux)
Blender VSE (full image)Backup editor; 3D/motion-graphic inserts3d-modeling skill
Inkscape / ImageMagickThumbnails, lower-thirds, title cards as PNG with alphagraphic-design skill

Hardware encoding: on a Linux host with a GPU render node (/dev/dri), the container gets it automatically and encode.sh uses VAAPI H.264/HEVC. Everywhere else it encodes in software — same result, slower. --sw forces software (smaller files at equal quality). Disable GPU passthrough with DS_GPU=0.

Scripts

ScriptWhat it does
check.shffmpeg encoders, VAAPI availability, melt
encode.sh <in> <preset> [out] [--sw]Presets: web, youtube, vertical (1080×1920 blurred fill), square, archive (HEVC), preview
loudnorm.sh <in> [--target -14] [--denoise] [out]Two-pass EBU R128 loudness normalization (video copied untouched), optional noise reduction
gif.sh <in> [--start S] [--dur D] [--width W] [--fps F]Palette-optimized GIF + a far smaller WebM for READMEs/docs
thumbs.sh <in> [count]Evenly spaced frame grabs + a storyboard sheet for picking a thumbnail
render-project.sh <project.kdenlive> [out.mp4] [--crf 20]Renders a Kdenlive/MLT project with melt, no GUI

Guides

  • references/kdenlive-workflow.md — project setup, proxy clips, the edit (J/K/L, razor, ripple), titles, color, audio, subtitles, render.
  • references/delivery-specs.md — per-platform specs, loudness targets, and the ffmpeg one-liners worth knowing.

Rules of thumb

  1. Project profile = your footage (usually 1080p 30 or 60 fps). Use proxy clips for 4K or long screen recordings.
  2. Story first: rough cut → fine cut → B-roll/zooms → titles → color → audio → export.
  3. Audio matters more than video: −14 LUFS for YouTube/social, −16 LUFS for voice/podcast.
  4. Keep masters (archive preset or lossless), deliver platform versions from them.
  5. Burn captions for social (most people watch muted); upload .srt separately for YouTube.
  6. render-project.sh needs the media paths inside the project to be reachable — keep media next to the project (Kdenlive: Project → Archive Project).

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.