coco-research/scroll-world
> Build an immersive scroll-scrubbed "fly through the world" landing page for any industry or brand using Higgsfield. As the visitor scrolls, a pre-rendered camera flies from outside each scene into its interior, then flows on to the next scene with NO cuts — one continuous connected flight (Emons-style isometric diorama world, or any art direction you pick). The skill interviews the user for the topic, the story beats/sections, and brand kit, then generates cohesive scenes + seamless camera clips with Higgsfield and wires a portable, framework-agnostic scroll-scrub engine. The video chain renders through Monid by default (Seedance 2.0, pay-per-clip USD — capability re-checked each build, see Step 4) with Higgsfield credits as the fallback biller. Use when the user wants a "3D world" / "browse-through-the-industry" hero, a scroll cinematic, a diorama landing, or to turn a business into a scrollable world.
npx skills add https://github.com/coco-research/coco --skill scroll-world
Produces a landing page where scroll drives a camera: it dives from outside a scene
into its interior, then flies out and into the next scene, continuously, with no visible
cuts. The visuals are AI-generated — stills via Higgsfield (or Codex), the video chain
via Monid by default (pay-per-clip Seedance 2.0; Higgsfield credits as fallback) —
and the page just scrubs pre-rendered video by scroll position. This is the same technique behind Apple's scroll-through product
pages — the camera genuinely moves, scroll only drives time.
What you generate: N scene stills → N "dive-in" camera clips → N-1 "connector" clips
that join consecutive scenes seamlessly → a portable scrub engine that plays the whole
chain as one flight.
The one rule that makes or breaks it: seams must be *frame-identical*. Read
The seamless chain before generating any
connector. Getting this wrong is the single most common failure and produces a visible
"pop" between scenes.
Do not assume a frontend framework. The scrub engine in references/scrub-engine.js is
self-contained vanilla JS (it builds its own DOM + injects its own CSS into a container
you give it), so it drops into plain HTML, Next.js, Vue, a Python-served page, anything.
The value of this skill is the Higgsfield pipeline, the prompts, and the seam method —
not the framework.
monid --version,monid keys list (active key) and monid balance — the chain is billed per
clip in USD (Step 1.7 has the numbers; a 1080p N=6 chain ≈ $27). If the CLI is
missing or the balance can't cover the chain, say so and fall back to
rendering the chain on Higgsfield credits instead — same model, same
pipeline, different biller (Step 4 → Monid backend).
scene stills (gpt_image_2) and is the home of the kling3_0 NSFW fallback
and the fallback chain. If higgsfield is not on $PATH, install per the
higgsfield-generate skill. If higgsfield workspace list fails auth, ask the user
to run higgsfield auth login (interactive OAuth — you cannot run it) and, if needed,
higgsfield workspace set <id>. Confirm credits cover the stills (~N image
gens) — plus (2N-1) video gens if the chain falls back here.
$PATH (frame extraction + encoding).(python3 -c "import PIL"), or cwebp/sips. Optional — see Step 3.
codex is on $PATH (≥ 0.125) andcodex login status reports a ChatGPT login, the scene stills can be generated
through Codex's built-in image_gen (the same gpt-image-2 model) billed to the
user's ChatGPT subscription instead of Higgsfield credits — offer it at
Step 1.7, command in Step 2. Absence just removes the option.
declare -A); don't use associative arrays inscripts. Higgsfield generations take 3–8 min each — always run them detached
(background) and poll, never a foreground blocking call. Reference-by-job-UUID is
rejected by media flags — pass local file paths to --image/--start-image/--end-image.
Video models differ in accepted params (e.g. Kling has no --resolution) and in whether
they support start/end-image conditioning at all — before batching, confirm the chosen
model's schema with higgsfield model get <job_type> and see the Step 4 model table.
The subject is the user's to state — ask it as an open question in plain prose, never a
fabricated multiple-choice. A made-up list of industries biases them and reads as you
deciding their business for them; let them answer in their own words (their real business,
a client's, or any idea). Reserve structured multiple-choice (AskUserQuestion in Claude
Code; a plain either/or question elsewhere) for the genuinely
enumerable, lower-stakes choices below — art direction, camera style, and brand-kit
approach — and even
there, signal they can go their own way ("Other"). Ask only what you can't sensibly
default. Cover:
business, a client's, or any idea — a word or a sentence is fine." Capture the
industry/product + a one-line pitch (e.g. "a bubble tea company, from leaf to last
sip"), and a brand name if they have one; otherwise you'll propose one below.
higgsfield marketing-studio brand-kits fetch --url <site> --wait(pulls name, colours, tone). Then read it back with brand-kits list --json.
Capture 4–6 named hex values, a display name, and a tone word or two.
tilt-shift miniature, warm light." Offer alternatives (flat papercraft, glossy toy,
claymation, neon night). Whatever is chosen becomes the shared style preamble
reused verbatim in every scene prompt (this is what makes the world cohesive).
detail.** Ask by feel (AskUserQuestion in Claude Code; a plain question
elsewhere) and record the answer as CAMERA. The options map to the Step 4
architectures — Step 4 then *implements* the choice, it never re-decides it:
out, and hops across the miniature world to the next; angles change
constantly, big expressive aerial moves (this is the flagship-demo look).
→ Architecture B. Recommend as the default for diorama/miniature art
directions.
through each scene straight into the next, never pulling back; expressive
but always-forward moves per scene (camera grammar table). → Architecture A.
Recommend as the default for grounded/photoreal art directions.
film, Emons-style; the world slides past/toward it, no rotation, no reveals.
→ Architecture A + the locked-iso clause in every leg prompt (prompts.md).
State the trade-off in one line each (B reverses direction at seams — charming
in miniature, jarring in realism; locked-iso is the calmest and cheapest to
re-roll; walkthrough sits between).
set derived from the subject's own value chain and let the user edit. 5–7 works well.
Boba example: farms → pearl kitchen → flagship shop → delivery → community plaza →
the hero product. Each section needs: a short subject description (what's IN the
diorama), an eyebrow, a headline, one line of body, and 0–3 tag pills. The last
section is usually the hero product + the CTA.
two-option choice (AskUserQuestion in Claude Code; a plain question elsewhere):
*"Want a mobile-optimized version too? The mobile version is a second camera chain
rendered natively in 9:16 portrait — composed for phones, not a crop of the
landscape film — which roughly doubles the Higgsfield credit spend (state the
estimated number)."*
Options: "Desktop only" / "Desktop + mobile (native 9:16 — ~2× credits)". The
credit cost must be stated to the user, not just implied.
What the answer gates:
(Step 6 / pipeline.md §6b): portrait start canvases → 9:16 dives + connectors
frame-locked against their own renders → 720-wide -m.mp4 encodes → stillMobile
portrait posters. Wire clipMobile/connectorsMobile/stillMobile (Step 7); run
the full mobile QA (Step 8). Budget ~2N-1 extra video gens + NSFW re-rolls.
Never ship the centre-crop as the mobile version by default — if credits can't
cover the portrait chain, say so and offer the crop encodes (pipeline.md §6) as an
explicitly-labelled stopgap the user must approve.
(seek-coalescing, iOS priming, safe-area CSS) is always on regardless — that's not
a "mobile version," it's just the page not breaking when a phone visits — so a
desktop-only build still degrades gracefully.
render tiers (AskUserQuestion), then compute and state the estimated total for
the user's N scenes — `N stills + (2N−1) videos [videos ×2 if mobile] + ~15%
re-roll headroom` — and get a go before generating.
| Tier | Model | Rough cost |
|---|---|---|
| Draft / previz | seedance_2_0_mini (720p) | ~¼ of Standard |
| Standard (default) | seedance_2_0 (1080p) | baseline |
| Alternate | kling3_0 (720p native) | ≈ Standard; different look + content filter |
Draft doubles as the previz path: run the whole chain cheap, approve the
journey, re-render final legs on Standard (pipeline.md Notes) — suggest it
unprompted when the balance reads tight.
in pipeline.md → Monid backend). Same Seedance 2.0, per-clip USD instead of
credits. Token-priced width × height × 24 × seconds / 1024 at $7/1M
(480p/720p) or $7.7/1M (1080p) — measured: 1080p 8s dive ≈ $2.99, 5s
connector ≈ $1.87; 720p ≈ $1.21 / $0.76; 480p ≈ $0.28 / $0.35. An N=6
desktop chain ≈ $27 at 1080p / ~$11 at 720p vs Higgsfield Plus-monthly ≈
$32 / $16 — ~15% cheaper per clip, parity with Plus-annual; structurally
better for one-off builds (pay-per-use, no monthly expiry). On Monid the
Draft/previz tier is simply the same endpoint at 480p — no model swap,
so previz→final stays one-model by construction. State monid balance
against the estimate; fall back to Higgsfield credits (per-model tiers
above) when the user prefers their subscription, the balance is short, or
the model must be kling3_0 (Higgsfield-only). It's the same underlying
model (seedance_2_0 ≙ Monid's seedance-2.0), so finishing a stranded
chain on the other biller is a reasonable rescue — but the serving stacks
differ and cross-provider seam character is untested: eyeball the first
rescued seam before rendering the rest, same as any model swap.
Higgsfield gpt_image_2 (spends credits) vs Codex image_gen — the same
gpt-image-2 model billed to the ChatGPT subscription (zero credits; counts
toward Codex usage limits; 1536×1024 output — exactly 3:2, slightly under
Higgsfield's 2k). Stills are plain PNGs handed to --start-image, so the
video chain is indifferent to their source. Command in Step 2. **One source
for all N stills of a build** — the two render with slightly different
character (verified: Codex runs warmer/lighter), and mixing sources across
scenes reads as style drift, same reason the video chain uses one model.
Run ONE still and ONE video first, diff higgsfield workspace list before/
after, extrapolate to the full run, and warn the user whenever the estimate
exceeds ~70% of the balance. (Observed on a plus plan, 2026-07: Standard
video ≈ 40–55 credits, still ≈ 15.) A real not_enough_credits mid-run is
recoverable (finished clips survive; resume after top-up) but ugly — the
whole point of this step is that the user decides *before* the spend.
If the user names a video model outside the roster, honor it **only if it can
frame-lock seams** (Step 4). This skill only ships seamless output, so a model that
can't frame-lock is declined with a one-line why, not substituted in — use a roster
model instead.
Keep the scroll mechanic fixed (continuous fly-through) — that's the point of the skill.
See references/prompts.md for the intake checklist and copy structure.
One image per section, all sharing the same style preamble for cohesion. Default
model gpt_image_2 (crisp, great at isometric illustration; returns a solid/white
background which is perfect for floating diorama "islands"). Use nano_banana_2 only if
the brief is character/cartoon-heavy (note: nano_banana_2 is a CLI alias — it resolves
to nano_banana_pro; it won't appear under that name in higgsfield model list).
Prompt shape (full templates in references/prompts.md):
<STYLE PREAMBLE, identical every time>. On a plain solid <bg> background with a soft
contact shadow. <PALETTE hexes>. No text, no letters, no logos, centered, 3:2.
Subject: <what is in THIS diorama>.
higgsfield generate create gpt_image_2 --prompt "$(cat scene_i.txt)" --aspect_ratio 3:2 --resolution 2k --quality high --wait --wait-timeout 15m --json > scene_i.json 2>scene_i.err
.[]0.result_url in the --wait --json output. curl it down.credits): same prompt files, same byte-identical preamble, generated by Codex's
built-in image_gen:
codex exec -C "$WORK" -s workspace-write --skip-git-repo-check \
'Use the image generation tool ($imagegen) to generate: '"$(cat "$WORK/still_i.txt")"' Wide 3:2 landscape, high resolution. Save it as ./still_i.png. Do not do anything else.' \
< /dev/null
Single-quote the $imagegen segment (the shell must not expand it); if editing
with reference images, the prompt goes BEFORE any -i flag (it's variadic).
~1–3 min per image; run a few in parallel, not all N at once — and keep the
< /dev/null: parallel codex exec calls sharing a script's stdin hang
waiting for input (Gotchas). Output lands at
1536×1024 (3:2) — fine for --start-image and posters. Everything downstream
(cohesion review, knockout, dives) is unchanged.
restart the batch.
angle, palette, light). If one is off-style, regenerate it, optionally passing an
approved scene as --image to lock style.
See references/pipeline.md for the exact batch script.
If you want the dioramas to float over an atmospheric background instead of sitting in a
solid box, knock out the flat background to transparency with
references/knockout.py (border-connected flood fill — preserves interior colour that
matches the bg, e.g. cream walls). Then encode to webp. If you'd rather keep it simple,
just make the page background the same colour as the scene background and skip this.
These stills double as video posters and lazy-load fallbacks, so keep them.
How the camera moves *between* scenes is the single biggest quality lever. The user
already chose the style at the interview (CAMERA, Step 1.4): fly-through → B,
walkthrough → A, locked-iso → A + the locked-iso leg clause (prompts.md). If
the interview somehow skipped it, ask now — never silently pick for them. The two
shapes, and the grammar that colors them:
This skill only ships seamless output, so the only usable models are ones that can
frame-lock a seam: every chained clip must accept --start-image, and connectors also
need --end-image. That capability — not preference — is the selection rule. Check any
model with higgsfield model get <job_type> and **skip anything whose media inputs are
reference-only** (no start/end image): it can only *condition* a generation, not
*continue* a shot, so it physically can't hold a seam. Schemas below were confirmed
against the CLI:
| Model | start/end image | Notes |
|---|---|---|
| seedance_2_0 (default) | ✓ / ✓ | Full chain (legs + connectors). --mode std --resolution 1080p. Its NSFW filter is the touchy one (see Gotchas). |
| kling3_0 | ✓ / ✓ | Full chain — tested: --mode std --sound off --duration 5 with start+end images accepted, seams frame-lock cleanly. No --resolution param (don't pass one; --mode std returns 720p native — encode what ffprobe reports, never upscale). Sound defaults on → --sound off. --duration default 5, try 10 for legs. Different content filter than Seedance — the sanctioned NSFW fallback. |
| seedance_2_0_mini | ✓ / ✓ | Cheap draft tier that keeps frame-locking (720p). The previz tier: run the whole chain here first, then re-render final legs on the full model — still seamless, so it translates directly. |
Those three are the roster — all do both architectures. (kling3_0_turbo also frame-locks
via --start-image, but has no --end-image, so it's architecture-A-only and can't make
connectors; it also takes a different flag set — no --mode, has --resolution — so it
doesn't drop into the pipeline as-is. It's not in the default roster; only reach for it, and
wire it by hand, if architecture A's sequential render time is a proven bottleneck and you've
benchmarked it as actually faster.)
One more architecture-A-only candidate, worth knowing because it is by far the cheapest
probe: minimax_hailuo (Hailuo-2.3, ~6 credits per 768p/6s clip vs 22–72 for the
roster). Verified 2026-07: --start-image + prompt frame-locks (output frame 0 ≡ input,
PSNR 33 dB) and a forward-glide prompt was obeyed, gently. Constraints: the 2.3 variant
rejects end_image (no connectors → arch A only), output aspect follows the input image
(hand it a 16:9 canvas, not a bare 3:2 still), motion runs subtler than seedance, and
don't pass --resolution (the CLI mis-types the enum; the 768 default works — 1080
supports 6s only). One clip ≠ a chain: qualify a leg-to-leg handoff before betting a
full build on it.
Rules:
character; mixing models mid-chain keeps *position* continuity (frames still hand off)
but the render-character shift reads as a subtle pop. The one sanctioned exception is
the NSFW fallback for a single stubborn clip (Gotchas) — a slight character shift on
one 5s connector beats a missing connector.
seedance_2_0, rendered through Monid by default (per-clip USD —next section) with Higgsfield credits as the fallback biller (Step 0.1/1.6); honor
a user's stated preference only if the model qualifies (frame-locking). If it
doesn't, say so and use a supported model — never ship a non-seamless build to
satisfy a model request. kling3_0 and seedance_2_0_mini exist only on the
Higgsfield side.
$VMODEL with per-model flags already casedout (references/pipeline.md).
Monid's bytedance /v1/video/seedance-2.0 passed both paid probes on
2026-07-25 and is the default way this skill renders the chain, for **both
architectures** — it is the roster's seedance_2_0 served pay-per-USD (wiring in
pipeline.md → "Monid backend"; Higgsfield renders the chain only as the fallback
biller or for Higgsfield-only models):
first_frame image): output frame 0 ≡ input still(PSNR 31.6 dB), forward-glide prompt obeyed, billed the advertised cell
($0.279 / 480p 4s).
first_frame + last_frame): start locked(31.6 dB); the end lands close but not pixel-perfect (27.5 dB, same
composition, prop-level drift) — the exact end-image behavior Seedance shows
on Higgsfield, covered by the engine's seam crossfade and by using the next
dive's ACTUAL first frame as the end-image (Step 5 law, unchanged).
The I/O contract differs from the Higgsfield CLI — three rules:
content items are{"type":"image_url","image_url":{"url":…},"role":"first_frame"|"last_frame"};
base64 data URLs are rejected ("Must be a public https:// URL or an
asset://<id> reference"). Local frames travel through Monid's free workspace
file system: sfs /put → curl -T the bytes → sfs /cat returns a signed
public URL to paste into the body ($0, explicitly built for this).
ratio explicitly (16:9, or 9:16 for the mobile chain) — theadaptive default follows the input image's aspect instead.
(w × h × 24 × sec / 1024 at $7–7.7/1M); read cost.value off each run.
History that shaped these rules (still true as of 2026-07-25): the seedance
endpoints were text-to-video-only until late July 2026 — **re-inspect before
each build; the catalog moves in both directions.** `minimax
/v1/video_generation (Hailuo-2.3) remains disqualified: sending prompt` +
first_frame_image together silently drops the image (unrelated t2v output,
wrong price cell); image-only frame-locks (33 dB) but has no camera control.
Qualification protocol for any new/changed Monid endpoint (each probe is one
cheap 480p clip): (1) prompt + first-frame from a real still — frame 0 must
match the input to codec noise (PSNR ≳ 30 dB) and cost.value must match the
advertised cell; (2) for connector duty, add a last_frame from a different
still — the end must land on that composition (Seedance-style near-miss is fine,
the crossfade covers it). Pass → pay-per-clip tier (arch A if start-only; full
roster if start+end).
One camera that only ever glides forward, first scene through last, as a single take.
Generate the legs sequentially: leg 0 from scene-0's still (glide forward into it);
then each leg's --start-image = the previous leg's ACTUAL last frame (extract with
ffmpeg), prompt *"continue gliding smoothly FORWARD into [scene i], never pulling back"*
(or an expressive mid-leg move under the motion-handoff contract — see Camera grammar
below), and no --end-image — an end-image of a wide establishing shot forces the
camera to pull back, which is the #1 cause of stutter. Extract each leg's last frame to feed the
next. Result: every seam is frame-identical and the camera never reverses. There are
no connectors (skip Step 5) — the legs ARE the journey. Wire each leg as a section
clip with connectors: [] and a small crossfade (~0.08). Even without an --end-image
the legs still arrive at distinct rooms (the prompt steers the content). Cost: strictly
sequential (can't parallelize) and slower; interiors trip the NSFW filter, so build in
re-rolls (3 attempts/leg).
A "dive into each scene" clip + a connector that pulls up and out and flies over to the
next scene (Step 5). The pull-out reverses camera direction at every seam (forward dive
→ backward pull-out). In a miniature/diorama world that reads as an intentional "zoom out
to the map, fly to the next island"; in a grounded first-person walkthrough it reads as a
jarring rewind/stutter. Use B only for the map-like aesthetic — which is exactly
what the "fly through the world" interview answer opts into; the reversal reads as
intentional there. If the user picked B against a grounded/photoreal direction, say
why it will read as a stutter and confirm before rendering.
"Forward only" is the *seam* rule, not the *leg* rule. The physics of the chain:
previous leg's actual last frame).
that's the rewind stutter.
no seam to break mid-leg, so orbits, crane-ups, lateral tracking, even a push-in that
eases back out are all safe *within* the clip. Reversals are only fatal *across* seams.
So give each leg an expressive move chosen from the scene's own logic, under a **motion
handoff contract: every leg ends by settling into a slow, steady forward drift** toward
the next destination (final ~1 s), and every leg begins by continuing that same drift.
Keep both clauses in the prompts verbatim (templates in references/prompts.md).
Pick the grammar from the concept:
| Concept / tone | Mid-leg move |
|---|---|
| Product / luxury retail | slow half-orbit around the hero object, then continue past it |
| Real estate / hospitality | steadicam glide through doorways; gentle crane-up in atria |
| Industrial / process / logistics | low lateral track alongside the line, foreground parallax |
| Travel / outdoors / campus | drone-style rise-and-reveal, then a descending swoop |
| Food / craft / detail-driven | push in close to the craft moment, ease back, carry on |
| Playful miniature (arch. B) | dives + aerial hops — the connector IS the grammar |
Honest costs: expressive mid-leg moves raise re-roll odds — the model can end a fancy move
in a state that isn't a clean forward drift. Mitigations: keep the final-second settle
clause verbatim; eyeball each leg's last frame before chaining the next (it should look
like a frame from a gentle forward glide — if not, re-roll before wasting the next leg);
budget ~1 extra re-roll per expressive leg. A plain forward glide stays the zero-risk
default — use it for legs where the scene itself is the show.
Locked-iso variant (CAMERA = locked isometric glide): architecture A where every
leg pins the view instead of taking a mid-leg move — "the camera keeps exactly the same
high isometric angle throughout, no rotation, no orbit, no tilt; it only travels
straight and level, the world sliding past beneath the same view" (verbatim clause in
prompts.md). The handoff contract is unchanged. Seedance drifts the angle slightly on
long legs — the existing eyeball-each-last-frame rule is the catch; re-roll a leg whose
view has rotated. Calmest look, cheapest re-rolls, and the closest to the Emons
reference.
Two related pacing knobs live in the engine (Step 7): per-section scroll (more scroll
distance = longer dwell in that scene) and linger (the camera settles mid-scene exactly
while the copy peaks, then picks up speed toward the seam). Prefer expressive motion in the
*clip* and restraint in the *scrub mapping* — they compound.
And remember scroll is a scrubber: visitors can scroll up, so every move also plays in
reverse. That's free and expected — no extra work — but it's another reason seam velocity
must be consistent in both directions (a seam that reads fine forward reads as a stutter
backward too if velocity flips).
For B, one camera flight per scene: starts high/outside, descends into the interior,
structure opens. Model: the chain model you picked above (default seedance_2_0),
--start-image = the scene still.
start image, so the video has a full frame.
at the whole <scene> from outside … descend and fly inside toward <focal point> … the
roof/walls gently open to reveal the interior. <style>, smooth graceful slow motion.
No text." (Template in references/prompts.md.)
--mode std --resolution 1080p --aspect_ratio 16:9 --duration 8.For Kling: drop --resolution (no such param), add --sound off, --duration 10.
Do not pass --generate-audio (it errors on seedance; audio is wasted anyway —
you'll mute).
.result_url. Re-roll individualfailures. Keep the raw 1080p sources — you need their frames next.
Skip this whole step for architecture A — the forward take has no connectors; its legs
already chain seamlessly. This step applies to B (diorama/miniature), and note the
reversal caveat from Step 4.
The connector clips are what make the world feel *connected* instead of cut. A connector
flies from the end of scene i out and into the start of scene i+1. **Both of its
endpoints must be the ACTUAL RENDERED FRAMES of the neighbouring clips — never the
original diorama still.**
Why: every Higgsfield generation renders slightly differently. If a connector *ends* on
a fresh render of "the kitchen diorama," but the next dive clip *starts* on its own
different render of that same diorama, the two won't match and you get a pop at the seam.
The fix is to hand off the exact pixels:
For each connector between dive_i and dive_{i+1}:
start-image = the LAST frame extracted from dive_i's rendered video
end-image = the FIRST frame extracted from dive_{i+1}'s rendered video
Now every seam is frame-identical on *both* sides:
dive_i.end == connector.start and connector.end == dive_{i+1}.start.
Extract the boundary frames from the rendered dives (not the stills):
ffmpeg -sseof -0.15 -i dive_i.mp4 -frames:v 1 -q:v 2 dive_i_last.png # interior of i
ffmpeg -ss 0 -i dive_{i+1}.mp4 -frames:v 1 -q:v 2 dive_next_first.png # establishing of i+1
Generate the connector (--duration 5 is plenty). Connectors need --end-image, so the
model must accept it — any roster model does (seedance_2_0, seedance_2_0_mini,
kling3_0):
higgsfield generate create "$VMODEL" \
--prompt "$(cat connector_i.txt)" \
--start-image dive_i_last.png --end-image dive_next_first.png \
$VOPTS --aspect_ratio 16:9 --duration 5 --wait --json
# seedance: VOPTS="--mode std --resolution 1080p"; kling3_0: VOPTS="--mode std --sound off"
Connector prompt: "Single continuous camera move, no cuts. Pull up and back out of
<scene i>, rise into the sky, glide across the connected miniature world, and arrive
above <scene i+1>, beginning to descend toward it. Seamless flowing aerial transition.
<style>. No text." (Template in references/prompts.md.)
Insurance: Seedance lands *close* to the end-image but not always pixel-perfect, so the
engine still applies a short crossfade (a few frames) at each seam. Frame-matched
endpoints + a small crossfade = no visible cut. Never skip the actual-frame handoff and
rely on the crossfade alone; a big content jump can't be hidden by a crossfade.
Scrubbing = setting video.currentTime from scroll. Two things matter, and they are
often gotten wrong:
hosts (and python -m http.server) don't serve HTTP byte-range requests, which pins
video.seekable to [0,0] and clamps *every* seek to frame 0 — the video looks
frozen. The robust fix is to **fetch each clip as a Blob and play it from an
in-memory object URL** (blobs are always fully seekable). The engine does this.
Because of it, you do not need all-intra video.
(1080p from Seedance — don't downscale), crf ~20, a small GOP (-g 8) rather
than all-intra (all-intra bloats an 8s clip to ~25 MB; GOP 8 is ~8 MB and scrubs
fine via blob). Strip audio, add faststart, and a light unsharp counters video
softness:
ffmpeg -i src.mp4 -an -vf "unsharp=5:5:0.8:5:5:0.0" \
-c:v libx264 -preset slow -crf 20 -pix_fmt yuv420p \
-g 8 -keyint_min 8 -sc_threshold 0 -movflags +faststart out.mp4
Encode all 2N-1 clips (dives + connectors) with the same settings for uniform quality.
Mobile encodes (only if the user opted in at Step 1.6). The mobile version is
the native 9:16 portrait chain (pipeline.md §6b): portrait renders of every dive and
connector, encoded 720 wide (scale=720:-2), -g 4 (more keyframes = cheaper seeks —
phone decoders' seek cost scales with GOP length), crf 23 — wired as clipMobile /
connectorsMobile, with each portrait dive's first frame extracted as the section's
stillMobile poster (Step 7). The engine serves them automatically on phones and falls
back to the desktop clip when absent. The 16:9 centre-crop encm() encodes
(pipeline.md §6) are a fallback only — for when credits can't cover the portrait
chain — and shipping them must be called out to the user, never silent. If the user chose
desktop-only, skip this — the engine still hardens phone scrubbing regardless
(seek-coalescing, iOS priming), so the page degrades gracefully rather than breaking.
Copy references/scrub-engine.js (and, if you want a fully standalone page, the tiny
references/index-template.html) into the user's project — or adapt into their
framework. It's config-driven and self-contained:
mountScrollWorld(document.getElementById('world'), {
brand: { name: 'Pearl & Co.' },
diveScroll: 1.3, connScroll: 0.9, // viewport-heights of scroll per clip
sections: [
{ id:'farm', label:'The Farms', still:'assets/farm.webp',
clip:'assets/vid/farm.mp4',
clipMobile:'assets/vid/farm-m.mp4', // mobile opt-in only: native 9:16 render
stillMobile:'assets/farm-m.webp', // its first frame as the portrait poster
scroll: 1.6, linger: 0.45, // optional pacing: longer dwell + camera settles mid-scene
accent:'#8FB98A', eyebrow:'From leaf to last sip', title:'It starts in the hills.',
body:'…', tags:['Single-origin','Hand-picked'] },
// …one per section; last may carry a `cta`
],
connectors: ['assets/vid/conn1.mp4','assets/vid/conn2.mp4', /* … length = sections-1 */],
connectorsMobile: ['assets/vid/conn1-m.mp4','assets/vid/conn2-m.mp4' /* … same length; mobile opt-in only */],
});
The engine handles: the ordered dive/connector chain, scroll→currentTime with rAF
smoothing, blob loading, lazy prefetch of nearby clips, frame-matched crossfades, pinned
per-section copy (first section greets on landing, last holds its CTA), a route rail,
prefers-reduced-motion, and mobile. Pacing per section: scroll overrides
diveScroll for that scene (more scroll = longer dwell) and linger (0–1, keep ≤ 0.6)
remaps time so the camera settles mid-scene — exactly while the copy peaks — then speeds
up toward the seam; seam frames are untouched (f(0)=0, f(1)=1). Give the hero and finale
scenes a higher scroll + some linger; keep transit scenes brisk. Theme it with CSS variables (--accent,
--sw-bg, --sw-ink, …) — the visual identity comes from the generated clips, so the
chrome stays quiet. See the header of scrub-engine.js for the full config + CSS vars.
On phones the engine adapts automatically (coarse pointer or ≤860px): it serves
clipMobile / connectorsMobile when present, coalesces seeks (never queues a new
currentTime while the decoder is still seeking — this is what stops a fast flick from
freezing the clip), keeps the still as a poster until the clip paints its first frame
and primes each video on first touch (fixes iOS's blank-until-played video), drops the
drifting particles, ignores URL-bar-only resizes (no scroll jump), and uses safe-area
insets so copy clears the notch/home indicator. All of this hardening is on by default —
no config needed. The clipMobile/connectorsMobile encodes are the opt-in part
(Step 1.6): only wire them when the user asked for the mobile version.
For non-JS backends (Python/Rails/etc.): serve the assets and drop the engine <script>
into the rendered HTML; nothing about it is framework-specific.
Drive the page in a headless browser and verify frame continuity at the seams, which
is the thing most likely to be wrong:
must be near-identical (the dive's last frame == the connector's first frame). If they
pop, you used the diorama still instead of the actual rendered frame (redo Step 5), or
the crossfade band is too short. Calibration: judge seams by *composition*, not raw
PSNR — at 720p/1080p a correctly frame-locked seam can read ~18–25 dB from detail
shimmer alone (observed on a verified-good build); a real mismatch shows as different
composition/props, not just softness.
video.seekable.end(0) > 0 (blob working), andthat currentTime tracks scroll across each clip's band.
For a desktop-only build, just sanity-check a phone viewport once: page loads, still
posters show, nothing overlaps — the engine's hardening covers graceful degradation.
For the mobile build (do this on a real phone or an emulated one, portrait + landscape):
track without freezing (the seek-coalescing + -m.mp4 encodes are what make this hold).
over the instant you scroll — no blank/black scene (the iOS priming fix). Test iOS Safari
specifically; it's the one that goes blank if this regresses.
-m.mp4 variant is actually served on mobile (Network panel), and theheavy 1080p master on desktop. The mobile clips must be natively portrait
(videoWidth < videoHeight — not a downscaled 16:9 file), and the stillMobile
posters must be served and match each portrait clip's first frame (no
landscape→portrait flash when the video paints).
are ignored on touch). Rotate the device — layout should recompose cleanly.
crops a 16:9 clip to its centre — confirm the focal subject still reads, and remind
the user this is the stopgap, not the mobile version.
clips' actual frames. Always extract real frames (Step 5).
camera *velocity reverses* (forward dive, then a connector that pulls back out) it
reads as a rewind. This is inherent to architecture B. For any grounded walkthrough use
architecture A (one continuous forward take — legs chained from actual last frames, no
pull-back, no --end-image); see Step 4.
seekable=[0,0]; the host isn't serving byteranges. Use blob URLs (engine does).
-g 8 + blob instead.crf ≤ 20, add unsharp. Video is inherently softer than the stills — keep the stills
as the lite fallback for max fidelity.
once; re-roll the individual failure, it's not really out of credits (verify with
higgsfield workspace list).
status "nsfw") → the video content filter flagsperfectly innocuous clips, especially bedroom, pool, spa/wellness contexts and
trigger words like "bed", "pool", "waterfall", "wine", "swim". It's partly the prompt
wording and partly the reference frames. Fixes, in order: (1) re-roll — it's often
non-deterministic and passes on the 2nd–3rd try; (2) strip trigger words and add
"empty, unoccupied, no people, no figures, architectural, tasteful"; (3) regenerate
just that clip on kling3_0 with the same start/end frames — a different
provider's filter often passes what Seedance blocks. Expect a slight render-character
shift on that one clip (each model has its own grain/motion feel); for a 5s connector
behind a crossfade that usually beats option (4): set the connector slot to null —
the engine crossfades that seam directly (optional connectors), so the page still
completes. Budget extra credits/time for these re-rolls on interiors/real-estate content.
@layer sw, so apage-level :root / .sw-root { --sw-bg; --sw-ink; --sw-accent; --sw-font-* } block
wins cleanly (no specificity hacks). --sw-ink is your primary text/heading colour;
the accent fills the primary button and active nav. For a dark theme, set --sw-bg
dark and --sw-ink light — the copy scrim and title shadow follow --sw-bg automatically.
phone decoder and seeks pile up. Ship the -m.mp4 mobile encodes (720p, -g 4) and wire
clipMobile/connectorsMobile (Step 6/7). The engine already coalesces seeks; the lighter
encode is the other half. Still choppy on a low-end device? Tighten GOP (-g 2 / all-intra).
was never played won't paint a seeked frame. The engine fixes this by keeping the still as a
poster until the clip paints and priming each video on first touch — so don't hide the
still on loadedmetadata or strip the playsinline/muted attributes if you adapt the
engine into a framework.
show/hide resize. The engine ignores height-only resizes on touch; if you ported it, gate
your resize handler on a width change (keep the orientationchange path for rotation).
bottom offset (env(safe-area-inset-bottom) + dvh); make sure the page's
<meta viewport> includes viewport-fit=cover (the template does).
is why the mobile version is the native 9:16 chain (§6b), never the crop. If you're seeing
this on a mobile build, either the crop fallback shipped (call it out to the user) or the
9:16 encodes aren't actually being served (check videoWidth < videoHeight). Keeping each
scene's focal subject centred (prompts.md) still matters for the desktop film itself.
--generate-audio errors on seedance → omit it; mute in HTML and -an on encode.kling3_0 has no --resolution param (don't passone; encode at whatever native res ffprobe reports) and sound defaults on — pass
--sound off. Duration default is 5; legs/dives want 10.
start-image-only model where a connector needs an --end-image. One model for the whole
chain; the only cheap tier is seedance_2_0_mini, which keeps frame-locking so it stays
seamless. (Any model with reference-only inputs can't hold a seam at all — Step 4.)
asset://<id> reference": frames go through the free sfs file system
(put → curl -T → cat → signed URL; pipeline.md → Monid backend), never base64.
Quirk: /put echoes back home/<path>, but /cat and /ls want the **original
relative path** you gave /put — using the echoed path 404s.
ratio default is adaptive and follows the inputimage (a 3:2 still → a 4:3-ish video). Pass --ratio — 16:9 desktop, 9:16
mobile chain — explicitly on every chained clip.
continues server-side. Re-poll with monid runs get -r <runId> -w 120 (find the id
in monid runs list). Result URLs expire (~24–48 h) — download immediately.
prompt +first_frame_image together returns an unrelated t2v clip AND bills the wrong matrix
cell ($0.56 vs $0.28 observed). Image-only frame-locks but has no camera control.
Until the wrapper is fixed, that endpoint can't chain — use Monid's seedance-2.0.
(The model itself is fine — the same prompt+image via Higgsfield minimax_hailuo
frame-locks.)
pass every selector field explicitly (model, resolution, duration) and read
cost.value off the run result after each clip. A big base64 field in any body can
also bounce as an HTML error page ("Unexpected token '<'") — another reason frames
travel by sfs URL.
late July 2026, then gained first/last-frame support). monid inspect before each
build; re-run the Step 4 qualification probes when the Input schema differs from
what pipeline.md documents.
codex exec calls launched from one script share the parent's stdin; one wins it,
the rest block forever (observed: 1 of 3 completed, 2 hung, the second batch never
started). Always append < /dev/null to every backgrounded codex exec — the
pipeline's gen_still_codex has it; keep it if you adapt the command.
gpt_image_2 returns a solid bg; either match the page bg to itor knock it out (Step 3).
yet) → the array loop ran in zsh (macOS default interactive shell), where arrays are
1-indexed, not bash's 0-indexed. Keep every array-driven chain step in a #!/bin/bash
script run via bash script.sh — never inline array loops in the interactive shell.
references/prompts.md — the intake checklist, style-preamble pattern, and everyprompt template (scene still, dive, connector) with fill-in slots.
references/pipeline.md — copy-paste batch scripts for the whole run (generate →extract frames → connectors → encode → mobile encode), bash-3.2-safe.
references/scrub-engine.js — the portable, config-driven scrub engine (builds DOM +injects CSS; blob-seek, lazy load, seam crossfade, copy, route rail, reduced-motion, and
phone hardening: mobile encodes, seek-coalescing, iOS priming, safe-area, no-jump resize).
references/index-template.html — a minimal standalone page that mounts the engine.references/knockout.py — border-connected background knockout for floating scenes.Take coco-research/scroll-world from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.