Agent skill · Content & Marketing

render-ig-live-gallery

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

gooseworks-aigithub.com/gooseworks-aiGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add gooseworks-ai/goose-skills --skill render-ig-live-gallery --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 5
SKILL.md size: 3 KB
Bundled scripts: yes
Path: skills/ads/capabilities/render-ig-live-gallery/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,091
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 ```bash 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`, `

What's inside
Steps it walks through
  1. Run
  2. Craft rules (baked into the renderer)
  3. Output
Ships with 4 files
  • scripts/build.py
  • scripts/config.example.json
  • skill.meta.json
  • tests/smoke-test.md
Commands it runs
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>
More from goose-skills
All skills →
About this skill
What does the render-ig-live-gallery skill do?

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

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill render-ig-live-gallery --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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