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Render ig live gallery

Skill gooseworks-ai/goose-skills/skills/ads/capabilities/render-ig-live-gallery

Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping

Install
npx -y skills add gooseworks-ai/goose-skills --skill render-ig-live-gallery

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

What its author says it does

Copied from the file, not written here

Render an 'Instagram-Live social-proof gallery' video from a config — ~5 real brand product stills each framed as an Instagram-LIVE card (IG gradient-ring avatar, username, verified check, red LIVE badge, viewer count, close X, a short claim-free live-comment feed, an empty 'Add a comment…' bar, and reaction hearts floating up the right edge), with a brand-approved benefit sentence building one phrase per slide and a clean logo endcard, rendered deterministically with PIL frames plus FFmpeg — FREE (the music bed comes from create-music-elevenlabs), products and wordmark stay crisp. Use for the ig-live-gallery format.

SKILL.md

3.3 KB, as published. Nobody here has run it

render-ig-live-gallery

Render the ig-live-gallery format from a config. Each of the brand's REAL hero product stills is presented as the "live video" inside an authentic Instagram-Live card — dark gradient scrims top & bottom over the bright product, an IG gradient-ring avatar + username + verified check + red LIVE badge + viewer count + close X across the top, a short live-comment feed + an EMPTY "Add a comment…" bar + heart/share icons across the bottom, and pink/red reaction hearts floating up the right edge. A benefit sentence builds one short phrase per slide as the top overlay, and it closes on a clean brand logo card with the payoff line + CTA.

Deterministic and FREE — no generative image/video, no AI-rendered text. The paid music bed is a separate capability (create-music-elevenlabs) muxed on afterward.

Run

python3 scripts/build.py --config config.json --assets <stills-dir> --out master-silent.mp4
# quick check — one frame per slide:
python3 scripts/build.py --config config.json --assets <stills-dir> --stills <dir>

config.example.json is a full worked config (Glossier). Config shape:

  • username, verified, palette, slide_dur, endcard_dur, crossfade
  • slides[]{ image, phrase, viewers, comments: [[handle, text], …] } per product
  • endcard{ logo, logo_is_white, payoff, handle, cta }
  • music{ prompt, length_ms, trim_intro_sec } (consumed by create-music-elevenlabs)

Image paths in the config resolve against --assets.

Craft rules (baked into the renderer)

  • Center each product on its TOP-HALF silhouette, never the full non-white bbox — the base drop-shadow otherwise inflates the box and the product reads shifted sideways. The renderer measures the top 50% of the silhouette with an L<246 threshold (catches white-product edge shading too) and centers that midpoint.
  • Reaction hearts float up the right edge as a full column and may overlap the centered product — that's fine; don't shrink them to a thin edge ribbon.
  • Comments must be claim-free brand-descriptor vibe (2-3 words, generic handles, NO emoji — PIL can't render color emoji); the comment INPUT bar stays empty. LIVE badge + viewer count + hearts are ambient live-stream chrome, not proof claims.
  • Endcard is the clean logo card (bg + wordmark + @handle + CTA + payoff), never a model face.
  • Real product stills + real wordmark only. Music bed only, no VO.

Output

A silent WxH (default 1080x1920) H.264 master. Generate + mux the create-music-elevenlabs bed with a short fade in/out + loudnorm (-map 0:v:0 -map 1:a:0), then QC with watch.

Keep looking

Skills are one crate of 328,083. 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.