Goose Skills is a library of workflows and data APIs that lets coding agents handle growth and go-to-market work such as advertising, social media, content, SEO, lead generation, and customer research. It is intended for teams using Claude Code, Cursor, Codex, and similar agents. The catalogue entries are its reusable skills.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add gooseworks-ai/goose-skills --skill render-split-screen-creatorgit clone --depth 1 https://github.com/gooseworks-ai/goose-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/gooseworks-ai/goose-skills/render-split-screen-creator)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/render-split-screen-creator"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-split-screen-creator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/render-split-screen-creator"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/render-split-screen-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00253 | $0.01651 |
| Opus 5 | $0.00127 | $0.00826 |
| Sonnet 5 | $0.00051 | $0.00330 |
| Haiku 4.5 | $0.00025 | $0.00165 |
Grade A, and why
render-split-screen-creator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
render-split-screen-creator
Assemble a split-screen creator ad from a config: a two-zone vertical (1080×1920, 9:16, ~40s) format where an AI creator talking-head anchors the BOTTOM ~48% of the frame and real 16:9 product/demo clips run uncropped in the TOP ~52%, a 3px brand-color divider between the zones. The creator delivers the whole VO cold-to-camera and each top clip proves the claim its VO line makes. This capability is the FREE, deterministic assembly + captions — the two-zone composite (contain-fit + blurred-cover fill + divider + creator slice), the hard-concat, the end card, and the word-level caption burn from the assembled cut.
scripts/config.example.json is the worked example (Perplexity concept-10
"Bloomberg terminal", ~40s 1080×1920 9:16, 6 scenes + an end card);
scripts/PIPELINE.md maps every config block to its source step and
scripts/README.md documents the free assembly.
Run
This is the FREE, deterministic assembly + captions stage — it spends
nothing. The paid inputs are separate steps — the VO (create-vo-elevenlabs,
ElevenLabs eleven_v3 with-timestamps, sliced into per-scene windows), the
photoreal MEDIUM chest-up AI-creator anchor (create-image-gpt-image-fal,
gpt-image-2) — shot at a natural webcam distance (headroom + shoulders, real
room), not a plain-background close-up headshot (see the anchor note below), and
the whole-VO lip-sync (a paid VEED Fabric 1.0 @ 720p take — a no-atom step,
image_url = the anchor, audio_url = the vo mp3, ~$0.15/sec, ~$5.90 for a 39s
VO; run its calls sequentially, veed/fabric-1.0 storage-auths 403 under
parallel load). Given the creator lip-sync take + the per-scene VO timing + one
16:9 top clip per scene + the scene-1 hook graphic + the end-card clip,
render-split-screen-creator composites the two zones, hard-concats the scenes,
appends the end card, transcribes the assembled cut, and burns the captions → the
master. Re-cuts reuse the existing VO / lip-sync / clips and cost $0.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 83 lines · 253 tokens per session scan A f104091174a2
render-split-screen-creator is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,201 stars, last pushed 9d ago), licensed MIT. It adds 253 tokens to every session and 1,651 once invoked, about $0.0013 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
excalidraw-ai
Create professional Excalidraw diagrams by generating JSON directly. This skill provides the Excalidraw JSON schema reference and professional icon libraries for AI agents to autonomously create diagrams without templates.
generate-image
Generate or edit images with AI models through the OpenRouter Image API (Gemini, Seedream, Recraft, GPT-Image, Riverflow). Use for photos, illustrations, artwork, concept art, visual assets, logos, and image editing or compositing from reference images. For flowcharts, circuits, pathways, and other technical diagrams…
infographics
Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3.6 Flash for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.
animation-reverse-engineering
Reverse-engineer any motion reference (a video from X/Twitter, Dribbble, a screen recording, a GIF) into production animation code through frame-level dissection. Use when the user shares a video/URL and says "implement this animation", "recreate this motion", "port this interaction", "how does this animate", "clone…
design-elevation
Comprehensive design elevation system that automatically transforms functional visual outputs into polished, professional designs. Use when creating ANY visual output including presentations (pptx), spreadsheets (xlsx), dashboards, reports, HTML artifacts, PDFs, web pages, or data visualizations. Applies systematic…
is-this-photo-real
Verify whether an image or video is authentic, original and correctly captioned — provenance checks, error level analysis, noise and JPEG compression analysis, clone and copy-move detection, lighting and shadow consistency, C2PA Content Credentials, deepfake and AI-generation tells, and the honest limits of…