agentsclimarketplace
Sign in

Render brand identity reveal

Skill gooseworks-ai/goose-skills/skills/ads/capabilities/render-brand-identity-reveal

Render a 'brand identity reveal' video from a config — a single poster frame in a real, softly-lit space (real wall, soft-focus plant in the corner, dappled leaf shadow, illuminated poster) whose artwork HARD-CUTS through ~10 on-brand poster mockups (hero product, IG post, hanging banners, sticker sheet, logo lockup, poster, two lifestyle stills, packaging, big icon) then holds on a brand end card. The environment plate is one create-image-fal generation; the mockups are real-DOM HTML frame-stepped via Playwright, perspective-composited into the detected frame quad with the plate's real leaf-shadow multiplied back onto each poster (reads as behind glass), sequenced by FFmpeg. Deterministic assembly, FREE (the plate comes from create-image-fal, the bed from create-music-elevenlabs), music bed only and approved brand copy only. Use for the brand-identity-reveal format.From its SKILL.md

Install
npx -y skills add gooseworks-ai/goose-skills --skill render-brand-identity-reveal

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • runs commandsInstructs the agent to run 5 commands, including `python3 $CAP/scripts/recrop.py 0.72 0.13` and 4 more.

SKILL.md

4.7 KB, 970 tokens by cl100k_base, as published. Nobody here has run it

render-brand-identity-reveal

Render the 'brand identity reveal' format from a config. The signature is a single fixed poster frame in a REAL, softly-lit space (the illuminated poster-frame look of a boutique/cinema): a real wall, a real soft-focus plant in the lower-left corner, dappled leaf shadow. The artwork INSIDE the frame HARD-CUTS (no crossfade) through 11 beats — 10 on-brand poster mockups + a brand END CARD held ~3s. Music bed only, NO voiceover; copy is baked into each mockup, never overlaid as captions.

This capability is the FREE assembly only. The paid parts are separate generic capabilities the recipe names — create-image-fal (the one-shot environment plate) and create-music-elevenlabs (the bed). Never re-implement them here.

Three layers

  1. Environment plate (PAID, create-image-fal, flux-pro ultra, 9:16) — an empty lit poster frame in a real space, high-res so the camera can be pushed closer by cropping. Pick a wall color that makes the brand's poster colors POP (complement of the dominant hue).
  2. Mockups (FREE) — real-DOM HTML/CSS (scene.html), one poster per beat, built from the brand's real assets + approved copy, frame-stepped via Playwright (render_art.py, bare mode, device_scale_factor 2).
  3. Composite (FREE) — measure_frame.py detects the blank poster interior quad; composite.py perspective-warps each poster into it AND multiplies the plate's real leaf-shadow/light back onto the poster (so it reads as behind glass) + a glass sheen; build_video.sh sequences the frames with the music bed.

Inputs

  • config.json — copy scripts/config.example.json and edit (canvas, plate prompt + wall_style, camera crop, per-beat durations, end-card copy). Schema + per-file working-dir layout are documented in scripts/PIPELINE.md.
  • The brand's REAL product/packaging/lifestyle stills, wordmark, and icon (recreate the icon as an SVG <mask> if the only source has an occluding element). Approved copy only.

Workflow (free assembly)

CAP=skills/ads/capabilities/render-brand-identity-reveal
RUN=<project>/working    # holds scene.html + assets/ + the create-image-fal plate in bg/

python3 $CAP/scripts/recrop.py 0.72 0.13      # camera distance (bigger frac = bigger frame)
python3 $CAP/scripts/measure_frame.py         # detect the blank poster interior quad
python3 $CAP/scripts/render_art.py            # render each poster standalone (Playwright, dsf 2)
python3 $CAP/scripts/composite.py             # warp into frame + shadow multiply + sheen
bash    $CAP/scripts/build_video.sh $RUN/concat.txt $RUN/music.mp3 out.mp4 13.05 1.0

Then watch the master (music-only, every poster legible, shadow falls across the art, end card holds). See scripts/PIPELINE.md for adapting scene.html per brand.

Rules

  • Approved brand copy ONLY — never invent claims, customers, results, or testimonials.
  • Toggle beats with OPACITY, not display (a per-state display:flex silently overrides a display:none toggle and paints one state over all others).
  • Camera distance = re-crop the high-res plate (recrop.py), don't regenerate.
  • The realism trick = MULTIPLY the plate's real shadow/light back onto each composited poster.
  • Music bed only, no VO. Close on the brand end card.

Failure Modes

  • Every rendered frame identical → a per-beat display: rule beat the visibility toggle; use opacity.
  • Playwright evaluate(fn, arg) didn't switch state in a loop → bake the beat index into the JS string and return the applied state to assert it.
  • Composited poster looks pasted-on → you skipped the shadow multiply (shadow_strength ~0.85).
  • Studio product won't cut out (white cap == seamless bg) → present as a photo-tile, don't corner-flood-fill.
  • Playwright missing under node → use the python playwright + cached chromium.

What ships with it: 10 files

37.6 KB alongside SKILL.md, 5 of them executable

scripts/

tests/

Gives 0 of the 12 instructions most marketing audience skills give in 970 tokens

Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07

  • Apply Poppins font to headingsin 41 of 690, across 6 files
  • Apply Lora font to body textin 41 of 690, across 6 files
  • Use Arial fallback for headingsin 39 of 690, across 4 files
  • Use Georgia fallback for body textin 39 of 690, across 4 files
  • Maintain text hierarchy and formattingin 39 of 690, across 4 files
  • Use accent colors for non-text shapesin 38 of 690, across 3 files
  • Use RGB values for precise color matchingin 38 of 690, across 3 files
  • Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
  • Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
  • Use active voice instead of passive voicein 26 of 690, across 10 files
  • Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
  • Prioritize clarity over clevernessin 22 of 690, across 8 files

Said here and by no other author read

  • copy config example and edit it
  • use approved brand copy only
  • toggle beats with opacity not display
  • recrop high-res plate for camera distance
  • multiply plate shadow onto composited posters
  • bake beat index into javascript string

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.