> Creates a new graphics format spec (custom canvas dimensions + content rules) and publishes it to the Gooseworks library so any agent can render against it. Use when the existing community formats (carousel, story, infographic, slides, poster, chart, tweet, plus community additions) don't fit the user's canvas — e.g., LinkedIn banner 1584×396, story cover 1080×1920, event flyer 8.5×11in. Mirrors goose-graphics-create-style but for formats.
npx skills add https://github.com/gooseworks-ai/goose-skills --skill goose-graphics-create-format
Authors a new graphics format and publishes it to the central Gooseworks library
via npx gooseworks formats publish. The output is a working directory with a
gooseworks-format.json manifest plus at least one rendered example PNG paired
with an existing style.
Use when the user wants a new named format with its own content rules —
a story cover, a podcast cover, a square testimonial — that maps to one
of the seven built-in canvas sizes (carousel, infographic, slides,
poster, story, chart, tweet). The new format defines new rules and a
new slug; it inherits dimensions from one of those canvases.
Custom canvas dimensions are not supported. If the user wants a
canvas size that isn't in the seven built-ins (e.g. LinkedIn banner
1584×396, US Letter 2550×3300), tell them honestly — that requires a
code change to the goose-graphics skill pack's FORMAT_CONFIGS and is
out of scope for this skill. Suggest the closest existing canvas
instead.
Always check first: run npx gooseworks formats list (or `formats search
"banner"` etc.) to see whether a community-published format already covers the
use case. If one fits, just use it via the regular goose-graphics flow.
goose-graphics skill must be installed in the same workspace —this skill uses goose-graphics/screenshot/screenshot.js to render
examples and pulls style specs via npx gooseworks styles get <slug>.
Install via:
npx gooseworks install --claude --with goose-graphics
(Swap --claude for --cursor or --codex as needed.) See the install
page on the hub for the canonical command:
https://skills.gooseworks.ai/skills/goose-graphics
(goose-graphics/screenshot/node_modules/ must exist). If not:
cd <path-to>/goose-graphics/screenshot && npm install && npx playwright install chromium
npx gooseworks login) for publishto authenticate.
and content density rules.
<working-dir>/
gooseworks-format.json # manifest (see "Manifest format" below)
example-1.png # at least one rendered example (REQUIRED)
example-2.png # optional; recommend 2–3 examples across styles
example-3.png
The backend rejects publish with an empty examples array — at least one
rendered example is mandatory.
A new format is **a new slug + new content rules over one of the seven
built-in canvas sizes** — *not* a new canvas. Custom dimensions are not
supported: every renderer in the system (CLI screenshot tool, hub, other
agents) is locked to this allow-list, and creating a format with custom
width/height would produce something nobody can render.
Pick the canvas the new format should use:
| Canvas slug | Dimensions | Best for |
|---------------|------------|--------------------------------------------|
| poster | 1080×1350 | Vertical hero composition, single panel |
| infographic | 1080×var. | Tall vertical scroll, multi-section |
| carousel | 1080×1080 | Square single panel / multi-slide |
| slides | 1920×1080 | Widescreen / presentation |
| story | 1080×1920 | Vertical full-screen (IG/TikTok stories) |
| chart | 1080×1080 | Square data viz |
| tweet | 1080×1080 | Square testimonial / social card |
Then ask the user:
counts, whether it's single-panel or multi-panel.)
The new format inherits the canvas's width/height exactly. Set the
manifest's width/height fields to the canvas's dimensions verbatim
(e.g. 1080/1350 for a poster-canvas format). Do not invent new
dimensions — the publish step will reject anything that doesn't match
one of the seven canvases.
If the user wants a canvas that isn't in the list (e.g. LinkedIn banner
1584×396), tell them honestly: that's a code change to the
goose-graphics skill pack's FORMAT_CONFIGS and is out of scope for
this skill. Suggest the closest existing canvas instead.
Suggest 2–3 descriptive names that lead with the platform / surface
(e.g., linkedin-banner, story-cover, podcast-cover, event-flyer-letter).
Slug must be lowercase-kebab-case ([a-z0-9-]+).
Collision check: run npx gooseworks formats get <slug> — if the catalog
returns a hit, the slug is taken. Suggest an alternative.
(The user may omit slug from the manifest; the backend auto-generates one.
On 409 the CLI prompts you to accept the server's suggested slug; pass
--yes at publish time to auto-accept.)
contentRulesMdThis is the load-bearing field — it teaches future agents how to fill the
canvas. Cover, in this order:
number of items / panels / slides, whether images are required or optional.
what shape, what size. If the format is single-panel, list the elements
(title, hero, byline, etc.) and their max sizes.
canvas size (e.g., "Display hero ~140–180px on a 1584×396 banner").
Aim for at least 50 chars (the minimum) but 300–800 chars is the sweet spot.
Treat contentRulesMd as the spec a fresh agent would read to render this
format correctly without further guidance.
Pair the new format with an existing published style. Recommended: render
2–3 examples across different styles so the catalog tile demonstrates the
format's flexibility.
For each example:
npx gooseworks styles list | head and choose 2–3 withcontrasting moods (e.g., matt-gray, neon-dashboard, brutalist).
npx gooseworks styles get <slug>.palette, fonts, and signature visual moves. The HTML rules from the
goose-graphics rendering pipeline apply:
<style> block + Google Fonts<link>.
vw/vh/%/rem/em/clamp().html, body { width: <W>px; height: <H>px; overflow: hidden; }.
goose-graphics skill pack,passing the canvas slug (carousel/infographic/slides/poster/story/
chart/tweet — the one chosen in Step 1), not the new format's slug:
node <path-to>/goose-graphics/screenshot/screenshot.js \
--format <canvas-slug> \
--input <path-to-html> \
--output <working-dir>/example-N.png \
--font-delay 1500
This works out of the box — the new format inherits the canvas's
dimensions, so no code changes are needed anywhere.
gooseworks-format.jsonMatch the shape documented in goose-graphics/SKILL.md §17.2. Required:
{
"name": "Story Cover",
"slug": "story-cover",
"description": "1080×1920 vertical cover slide for Instagram and TikTok stories. Single hero panel, 5-word title max, optional brand mark in the lower 10%. Use for product launches and event reminders where the viewer scrolls past in 2 seconds.",
"width": 1080,
"height": 1920,
"contentRulesMd": "## Rules\n\n- Title: 5 words max, large display, centered or top-left\n- One hero element (image, stat, or large icon) in the upper 70% of the canvas\n- Optional brand mark in the lower 10%, ≤8% of canvas height\n…",
"tags": ["story", "vertical", "social", "instagram", "tiktok"],
"examples": [
{ "file": "./example-1.png", "styleSlug": "matt-gray", "caption": "Paired with matt-gray" },
{ "file": "./example-2.png", "styleSlug": "neon-dashboard" }
]
}
Constraints to respect:
name: 1–120 charsdescription: 20–1000 chars (required). See guidelines below.width / height: **must match one of the seven built-in canvasesexactly** (1080×1080, 1080×1350, 1920×1080, 1080×1920, or
1080×variable for infographic). Custom dimensions will render fine
locally if you stretch the rules but will fail for any other agent that
pulls the format later, since their screenshot.js only accepts the
built-in canvas slugs.
contentRulesMd: minimum 50 chars (required)tags: 3–10 lowercase strings. See guidelines below.examples: minimum 1 (required); styleSlug is optional but recommended.cd <working-dir>
npx gooseworks formats publish
The CLI reads gooseworks-format.json, validates it client-side, uploads the
manifest plus the example PNGs, and registers the format in the catalog.
Slug-collision UX: if the slug is taken, the CLI prompts
Slug 'X' is taken. Use 'Y' instead? with the server's suggestion. Pass
--yes to auto-accept (useful for scripted runs):
npx gooseworks formats publish --yes
Success output:
Published format: <slug>
https://skills.gooseworks.ai/formats/<slug>
Exit codes: 0 success, 1 transient/auth (network, 401, 5xx), 2 user
error (400 validation, 403 not owner, 413 file too large, declined 409).
Amending a published format later:
npx gooseworks formats update <slug>
Same manifest format; no slug-collision retry (the slug is locked).
Tell the user:
/goose-graphics --style <any-slug> --format <new-slug> --brief "..."
Same shape as styles — 50–200 words, keyword-dense — but lead with **canvas
and content density** instead of mood.
feed posts."`
Instagram Stories, LinkedIn,print event flyer, etc.).
(`"Use for product launches and event reminders where the viewer scrolls past
in 2 seconds."`).
Example:
> "1080×1920 vertical canvas for Instagram and TikTok stories. Single-panel
> composition, 5-word title max, large hero image or stat, optional brand mark
> in the lower 10% of the canvas. Use for quick announcements and engagement
> posts where the viewer scrolls past in 2 seconds."
3–10 lowercase tags. Common format tags:
vertical, square, portrait, landscape, banner,panoramic
single-panel, multi-slide, multi-panelstory, feed, cover, flyer, presentation, printsocial, ad, editorial, eventlinkedin, instagram, tiktok, youtube, twitterSkip tags that just restate the slug.
examples. Render at least one — recommend 2–3 across contrasting styles.
contentRulesMd. The format describescanvas + content density; the style describes palette + typography. Keep them
separate so any style can pair with any format.
agent rendering against the format will produce off-size output.
All paths in examples[].file are relative to the working directory and live
on the user's machine, not in this repo.
npx gooseworks formats list first — ifthe format already exists, point the user at it instead of publishing a
duplicate.
Automate YouTube tasks via Rube MCP (Composio): upload videos, manage playlists, search content, get analytics, and handle comments. Always search tools first for current schemas.
Create and audit truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn, or Plotly. Use for figure design, multi-panel layouts, uncertainty and missing-data displays, color/contrast review, image metadata validation, and journal export planning.
This skill should be used when comparing two videos to analyze compression results or quality differences. Generates interactive HTML reports with quality metrics (PSNR, SSIM) and frame-by-frame visual comparisons. Triggers when users mention "compare videos", "video quality", "compression analysis", "before/after compression", or request quality assessment of compressed videos.
Python bridge to ImageJ2/Fiji for macros, plugins (Bio-Formats, TrackMate, Analyze Particles), NumPy↔ImagePlus/ImgLib2 exchange, and ImageJ Ops. Automates Fiji headlessly from Python. Use scikit-image for pure Python without Fiji plugins; napari for visualization.
Create 3D scenes, interactive experiences, and visual effects using Three.js. Use when user requests 3D graphics, WebGL experiences, 3D visualizations, animations, or interactive 3D elements.
Generate publication-quality PNG chart images from data, supporting line, bar, area, candlestick, pie, and heatmap charts. Triggers when the user asks to visualize data, create a graph, plot a time series, or generate a chart for a report, alert, or dashboard. Runs as a lightweight, headless Node.js process without a browser.
Performs deep Root Cause Analysis (RCA) on NVIDIA TAO Visual ChangeNet classification experiments with image-evidence-driven investigation. Use when analyzing ChangeNet model failures, investigating poor recall / FAR / PASS-NO_PASS metrics, auditing visual inspection pipeline quality, or running an RCA report for an AOI defect-detection model. Trigger phrases include "RCA on my ChangeNet model", "why is my AOI model failing", "audit ChangeNet predictions", "investigate FAR regressions", "root cause analysis on visual-changenet".
Build 3D web apps with Three.js (WebGL/WebGPU). Use for 3D scenes, animations, custom shaders, PBR materials, VR/XR experiences, games, data visualizations, product configurators.
Take gooseworks-ai/goose-graphics-create-format 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.
The instructions reference npm, npx.
Without those the skill loads but fails at the first command.