footage-cutlist
Watch a brand's own product footage (screen recording, product film), pick the moment that proves each line with the user, and render those picks as a product layer — free, local.
Install / Use
npx skills add gooseworks-ai/goose-skills --skill footage-cutlistInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of footage-cutlist
footage-cutlist scores 88/100 on our quality scale, 1989th of 4,581 Development & Engineering skills we index (top 44%).
Its SKILL.md is 8.0 KB long, split into 6 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.
With 1,222 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 33 days ago, so footage-cutlist is actively maintained.
- Our last check on 2026-10-09 found the source still online.
- 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.
footage-cutlist compared with similar skills
All 4 of these similar skills score higher than footage-cutlist; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| footage-cutlist (this skill)by gooseworks-ai | 88 | 1.2k | 33d ago | SKILL.md |
| taste-skillby Leonxlnx | 100 | 102.4k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 65.7k | 4d ago | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 45.0k | 5d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 33d ago | SKILL.md |
Frequently asked questions
- How do I install footage-cutlist?
- Run
npx skills add gooseworks-ai/goose-skills --skill footage-cutlist. The install tabs above show the steps for each supported agent. - Which AI agents does footage-cutlist 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 footage-cutlist safe to use?
- 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 footage-cutlist still maintained?
- The repository was last updated 33 days ago, so footage-cutlist is actively maintained.
Skill content
View source on GitHubname: footage-cutlist description: Watch a brand's own product footage (screen recording, product film), pick the moment that proves each line with the user, and render those picks as a product layer — free, local. survey.py turns footage into timestamped contact sheets + scene cuts + motion so the agent can actually look at it; the agent writes a cut list (beat → source window + framing); preview.py draws it as a review sheet the user corrects round by round; cut.py renders the approved list into a silent 1080x1920 layer with the creator's area left as a plate. Also frames footage as a filmed screen (keystone, bezel, handheld drift) with dissolves between beats, and takes still screenshots as sources. Use for any format that shows real product footage beside, between or instead of a creator (split-screen, screen inserts, walkthroughs). status: active
footage-cutlist
Picking which moment of a customer's footage plays under which line is a judgement, not a formula. A position map ("beat 3 is 40% through the reel, so take the footage 40% through") was measured up to 5.7s off a person's picks on a reference build. So this capability does the free, mechanical parts and leaves the decision to the agent and the user:
| Step | Script | Who decides |
|---|---|---|
| Look at the footage | survey.py | nobody; it just shows it |
| Choose a window per line | the agent writes cutlist.json | agent, then the user |
| Show the choices | preview.py | the user corrects them |
| Render the approved choices | cut.py | nobody |
All free. ffmpeg + Pillow + numpy only.
Run
python survey.py --video footage.mp4 --out work/survey # whole clip, ~1 frame/s
python survey.py --video footage.mp4 --out work/s-12 --from 12 --to 18 --every 0.25 --frames
python preview.py --cutlist work/cutlist.json --out work/review.png
python cut.py --cutlist work/cutlist.json --out work/layer.mp4 [--draft]
survey.json lists cuts (scene changes), motion (change per second) and still
(runs of 1.5s+ with nothing moving: a dead screen reads as a frozen video). Read the
sheets; open a single frame-*.png (from --frames) when you need to read small UI text.
The cut list
{
"size": [1080, 1920], "fps": 30, "seam": 768, "creator_side": "bottom", "bg": "auto",
"sources": {"demo": "footage/demo.mp4"},
"beats": [
{"id": "b1", "start": 0.0, "end": 3.1, "state": "creator", "vo": "..."},
{"id": "b2", "start": 3.1, "end": 7.4, "state": "split", "vo": "...",
"source": "demo", "in": 12.0, "out": 16.3, "fit": "width", "why": "the brand kit fills in at 13.4s"}
]
}
state:creator(creator full frame),split(footage in the product zone, creator in the other),product(footage full frame).inis where the window starts in the source;outdefaults toin + slot(1.0x). A window may play between 0.5x and 2x; it is never looped or frozen to fill a slot.fit:width(whole frame, letterboxed; the default),cover(fill + crop aroundfocus),crop(a source box[x0,y0,x1,y1]in fractions, then fit by width).bg:autosamples the footage's own corner colour so the letterbox and the footage read as one surface;blur; or#rrggbb.look: "screen": frame the footage as a screen filmed at close range (thin bezel, dark room, faint moire, grain, slow handheld drift).croppicks the source region,screen: {rot, keystone, fill, fit, drift}the geometry,maskboxes are blurred in the source (an email, a customer name). Inserts over a creator:keystone ~0.007,rotwithin ±1°. Walkthroughs:keystone ~0.024,rot-1.5..0,fill ~0.80. Never bigger angles and never alternate them between beats (read as a wonky camera).transition: {"dissolve_frames": 7}(top level): cross-dissolve every beat into the next. A hard cut between two screens reads as an edit; 6-7 frames reads as the camera moving.- A source can be a still image (png/jpg/webp): it holds for its slot. Give it
look: "screen"so the drift keeps it alive. why: one line on what the window shows. It is printed on the review sheet so the user can see the reasoning, and it makes the agent say what it saw.
Beats must tile the timeline from 0 with no gaps. cut.py refuses a list that does not.
Rules that were learned the hard way
- Watch the whole thing before choosing anything. Look at every sheet of the whole-clip survey first. The moment that proves a line is often not where the recording's order suggests.
- Never commit a window from a 1fps glance. Re-survey that range at
--every 0.25and look at every frame. A click, a page load or a half-typed field lives between the samples, and it is exactly what a user then points out ("you didn't look at the video properly"). - The line must be true of the footage while it is said. If a line says "it pulls your
brand colours", the colours must be on screen during that line, not a second later.
Name what is visible in
why. - Never crop footage that has copy in it. Cropping a UI panel into a narrower zone
slices through words. Default to
fit: width; usecroponly to isolate a small subject, and check the review sheet for cut-off text. - Avoid dead screens. A window inside a
stillrun reads as the video having stopped. Start it where something moves, or shorten it. - A screen region should be roughly the box's shape. A 9:16 box is filled by a source
region of ~0.6-0.8 aspect: crop fewer COLUMNS at full height. A wide, short crop floats
in black. For a complete panel with copy, use
fit: widthand let the room fill. - Watch for a third party inside the footage. A customer logo row or another company's
name in the recording ends up in the ad. Crop above it or
maskit. - Don't reuse footage.
cut.pywarns when two beats overlap in the same source: it reads as a loop. - After the takes exist, re-check. Line timing moves when the real voice is aligned
(
align_beats.py). Re-runpreview.py+cut.pyon the aligned list and look again.
Going back and forth with the user
Expect several rounds. Each round:
- Show
review.png(and a--draftlayer if they want to see motion). - The user names beats: "b4 is wrong, use the part where the report loads."
- Re-survey just that stretch densely, find the moment, and change only that beat's window. Say what you changed and why.
- Re-render the review sheet and show it again.
Picking is free, so take as many rounds as the user needs. Never spend on the creator until the user has approved the cut list.
Source paths resolve relative to the cut-list file, never the shell working directory. Use absolute source paths when preparing a run. Save explicit inspected in/out bounds; defaults are compatibility behavior, not evidence that a window was watched. Screen framing defaults to width to preserve UI text; height fitting is an explicit reviewed choice.
Product-photo motion and caption review
A real product photo can use look: "photo". This is a dedicated contain/pan/zoom treatment without a screen bezel. photo accepts start/end scale (0.85–1.0), start/end pan pairs (-1–1), a normalized content box, and normalized protected source rectangles. An optional crop must contain every protected product/text rectangle. The selected region remains visible throughout motion. Use photo.box to reserve space above/below the seam for a qualification. Review first/middle/last frames; preview and render share the photo framing function. Existing plain stills and screen looks remain supported.
Before showing the cutlist, generate a footprint with caption-burn's bundled footprint.py, using the final style, anchor and font. Pass that JSON to preview's caption-footprint option. The amber band is the union of the actual rendered caption groups for that beat. Rebuild it after copy/timing/style changes. If it covers qualifying text, adjust photo.box, crop or layout, then inspect the final captioned video. Do not reduce or hide the qualification to make the claim fit.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
