video-editing
Skill0 starsChanged 48 days agoMITView on GitHub
Video editing and delivery on codeonym's Arch workstation with Kdenlive 26.08 (MLT/melt), ffmpeg 9 with AMD VAAPI hardware encoding (H.264/HEVC on the Vega iGPU), and Blender's Video Sequencer as a backup. 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
- Rojios/everything-claude-codetheir own version, first seen Nov 8, 2026
- ourostack/ouroboros-skillstheir own version, first seen Nov 8, 2026
- notque/vexjoy-agenttheir own version, first seen Nov 7, 2026
- pankaj-mahaur/Agent-Daemontheir own version, first seen Nov 6, 2026
- Littlpinguin/marketing-cockpit-templatetheir own version, first seen Nov 3, 2026
- TsinHzl/claude-code-configtheir own version, first seen Nov 1, 2026
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.
mryeastcodeSkilleverything-claude-code-conventions
Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.
Also in 8 projects that use this
niloykumarbarmanSkillagent-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
ysyecustSkillbrand-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
tpavanipradeepSkillnextjs-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
CodeWithBehnamSkilldmux-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
Other versions56 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- codeonym-oss/design-skills★ 046% same
Wrote their own version · 55
- affaan-m/ECC★ 246ksame name
- ZJU-REAL/Easel★ 4.5ksame name
- notque/claude-code-toolkit★ 448same name
- notque/vexjoy-agent★ 448same name
- loulanyue/awesome-claude-notes★ 272same name
- maxazure/video-editing-skill★ 204same name
- tpavanipradeep/everything-claude-code★ 104same name
- mturac/everything-openai-codex★ 89same name
- mit-network/everything-claude-code★ 76same name
- Fmarzochi/EGC★ 61same name
45 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository9 other files it gives its agents.
- 3d-modelingSkill
- design-doctorSkill
- graphic-designSkill
- illustrationSkill
- photo-editingSkill
- print-layoutSkill
- screen-recordingSkill
- typographySkill
- ui-designSkill
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
- Very specific: line 45
Keep masters (archive preset or Kdenlive lossless), deliver platform versions from them.
“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.
Files
Video editing (Kdenlive · ffmpeg · melt)
Toolkit on this machine
| Tool | Use it for | Launch / CLI |
| Kdenlive 26.08 | Multi-track editing: cuts, titles, transitions, effects, color, audio mixing, subtitles | kdenlive · headless scripts/render-project.sh |
| melt 7.40 (MLT) | Kdenlive's render engine, scriptable | melt |
ffmpeg 9 (/usr/bin/ffmpeg) | Encode, convert, trim, loudness, GIFs, VAAPI hardware encoding | /usr/bin/ffmpeg |
| Blender VSE | Backup editor; also for 3D/motion-graphic inserts (3d-modeling skill) | Blender → Video Editing workspace |
| OBS | Recording source footage | screen-recording skill |
| GIMP / Inkscape | Thumbnails, lower-thirds, title cards as PNG with alpha | graphic-design skill |
Machine quirks
- Plain
ffmpegin your shell is Homebrew's (no VAAPI). Scripts here force/usr/binfirst; in manual commands type/usr/bin/ffmpeg. - The Vega iGPU hardware-encodes H.264 and HEVC only (no AV1 encode, despite
av1_vaapibeing listed). - Hardware encoding is fast but makes bigger files than x264 at equal quality — use
--swinencode.shfor the smallest final uploads.
Scripts
| Script | What it does |
check.sh | Kdenlive, MLT, frei0r effects, ffmpeg builds + VAAPI encoders, shadowing warnings |
encode.sh <in> <preset> [out] [--sw] | Presets: web, youtube, vertical (1080×1920 blurred fill), square, archive (HEVC), preview |
loudnorm.sh <in> [--target -14] [--denoise] | 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 + storyboard sheet for picking a thumbnail |
render-project.sh <project.kdenlive> [out.mp4] | Renders a Kdenlive 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
- Project profile = your footage (usually 1080p 30 or 60 fps). Enable proxy clips for 4K or long screen recordings on this iGPU.
- Story first: rough cut → fine cut → B-roll/zooms → titles → color → audio → export.
- Audio matters more than video: normalize to −14 LUFS (YouTube/social) or −16 LUFS (voice/podcast).
- Keep masters (
archivepreset or Kdenlive lossless), deliver platform versions from them. - Burn captions for social (most people watch muted); upload
.srtseparately for YouTube.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
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.