SkillAtlasSkill 详情

goose-graphics-create-format

Put your AI agent on the growth team.

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项目 README

来源文件:README.md

抓取于 2026年8月20日
CleanShot 2026-07-13 at 20 15 47@2x CleanShot 2026-07-13 at 20 16 54@2x

AI Skills for Brand Growth

Put your AI agent on the growth team.

Research customers and competitors, analyze what is working, create the next campaign, and learn from the result. Goose Skills gives Claude Code, Cursor, Codex, and other coding agents ready-to-use workflows for ads, social media, content, competitive intelligence, SEO, lead generation, and GTM.

Browse all skills at https://skills.gooseworks.ai

Works with Claude Code · Cursor · Codex

npm version License: MIT Skills


Contents


Quick Start

AI Coding Agents (Claude Code, Cursor, Codex, etc)

Paste this into your coding agent (Claude Code, Cursor, or Codex) and it'll set everything up:

Install the Gooseworks skills:

In the terminal, run `npx gooseworks install --all`.

Then run `npx gooseworks login` and it'll open a browser to sign in and set up the tools, then confirm it worked.

The skills can be used with /gooseworks <prompt>

Claude Cowork

Run this command in a terminal first:

npx gooseworks install --all

Then authenticate:

npx gooseworks login

Then make sure you're working inside a local folder on your machine, and then you can use the skills in Cowork like this:

Use /gooseworks skill to generate some ad creatives

Install manually

Prefer to run it yourself? Use the command directly:

npx gooseworks install --all       # All detected agents

This gives your coding agent access to the full catalog of 200+ skills. After installing, just ask your agent to use any skill by name.

If you want a cloud-based AI coworker that already knows all these skills and more, sign up to Gooseworks


Brand Growth collection

The Brand Growth collection is a curated path through the normal Goose Skills catalog for consumer and ecommerce brand work. It is not a separate package or command: install GooseWorks once, then ask /gooseworks for the outcome you need.

StageWhat your agent can doExample skills
ResearchUnderstand the brand, customers, competitors, audiences, creators, trends, comments, and product demandbrand-research, audience-research, comment-mining, competitor-social-research, influencer-prospecting, trend-discovery, product-demand-research
AnalyzeDiagnose ads, creator profiles, transcripts, policy risk, landing-page message match, and unusual social performancecompetitor-ad-intelligence, creator-profile-teardown, transcript-intelligence, meta-ads-analyzer, meta-ad-policy-checker, ad-to-landing-page-auditor, outlier-post-finder
CreateRepurpose research, remix graphic ads, make product photography and social graphics, and animate static imagescontent-repurposing, remix-graphic-ad-from-reference, product-photoshoot, goose-graphics, animate-image
Learn and iterateBring results back into research and analysis, then decide the next testRe-run the relevant analysis skill with current performance and audience evidence

ScrapeCreators powers structured public social and ad-library research behind several workflows. Signed-in GooseWorks users access it through the managed first-party proxy and do not need a separate ScrapeCreators key. The user-facing skills turn that source data into a brief, shortlist, analysis, or recommendation instead of returning raw API output.

Browse the Brand Growth collection

After installation, start with:

/gooseworks onboard me

The agent will collect the useful company context for future growth work and finish by asking what you want to do first. Existing users can skip onboarding and keep using /gooseworks exactly as they do today.


Commands

npx gooseworks search "reddit scraping"   # Search the skill catalog
npx gooseworks credits                     # Check your credit balance
npx gooseworks update                      # Update to latest skill version

Skills Catalog

200+ skills across the growth stack, grouped by focus area:

CategoryWhat's inside
AdsResearch, build, and analyze paid campaigns across Meta and Google
SEOKeyword research, content gaps, SERP analysis, technical audits
Lead generationFind, enrich, and qualify prospects for your pipeline
OutreachDraft, personalize, and run outbound across email and social
ContentBlog posts, social content, carousels, video scripts, newsletters
ResearchCompany, market, and prospect deep-dives
Competitive intelTrack competitor pricing, launches, positioning, and ads
MonitoringWatch for mentions, signals, and changes across the web
SocialScrape and analyze social platforms and audiences
BrandVoice, positioning, and visual brand assets

Browse and search every skill at skills.gooseworks.ai.


Usage Examples

After installing, just ask your coding agent naturally:

"/gooseworks Generate static ad creatives for my brand"
"/gooseworks Use the reddit-post-finder skill to search r/startups"
"/gooseworks Use the apollo-lead-finder skill to find CTOs at AI companies"
"/gooseworks Use the competitor-intel skill to research Acme Corp"
"/gooseworks Use the goose-graphics skill to create a LinkedIn carousel about our launch"

Your agent will search the GooseWorks catalog, download the skill, and run it automatically.


Building from Source

git clone https://github.com/gooseworks-ai/goose-skills.git
cd goose-skills
node scripts/validate-skills.js  # Validate SKILL.md + skill.meta.json contract
node scripts/build-index.js      # Generate skills-index.json
node bin/goose-skills.js list    # Test locally

Skill Metadata Contract

Each skill directory must include:

  • SKILL.md — Skill documentation and usage guide
  • skill.meta.json — Machine-readable metadata

skill.meta.json fields:

FieldRequiredDescription
slugYesUnique kebab-case identifier
categoryYescapabilities, composites, or playbooks
tagsYesString array of category tags
installation.base_commandYesInstall command
installation.supportsYesArray: claude, codex, cursor
featuresNoFeature flags
github_urlNoSource repository URL
authorNoSkill author
example_promptNoCopyable prompt shown in the catalog and docs for trying the skill

Security & Trust

These skills run inside your coding agent, so it's worth knowing exactly what they do:

  • Open source & inspectable. Every skill — its SKILL.md instructions and all scripts — lives in this repo under the MIT license. The gooseworks CLI fetches skills at runtime so recipes stay current, but the source you'd run is right here to read, diff, or pin before you run it.
  • Scripts run locally. Skill scripts execute on your machine and write to /tmp/gooseworks-scripts/, never into your project directory. Only API requests go through GooseWorks servers; review any script before letting your agent run it.
  • Your agent stays in control. The skills are a tool your agent reaches for when it fits the task (data at scale, sources behind auth, a specific provider) — not a replacement for its built-in web search or fetch on quick lookups. You can read or edit any installed SKILL.md to tune that behavior.
  • Credentials stay local. Auth is a Bearer token stored at ~/.gooseworks/credentials.json (file mode 0600). Third-party provider keys (Apify, Apollo, etc.) are held server-side — your token never touches them. All network calls are HTTPS.
  • The MCP server is opt-in. Registering the GooseWorks MCP server is off by default; it only happens if you explicitly run gooseworks install --mcp.

Found something that looks off? Open an issue — we'd rather fix it in public.


License

MIT — see LICENSE for details.

The skill files and CLI in this repository are MIT-licensed. The GooseWorks API they connect to is a separate paid service governed by its own terms.

其他

中风险

  • 来源需自行核对维护者身份。
  • 包含脚本或命令调用,安装前请复核。
  • 可能需要外部 token、网络权限或第三方服务。
  • 未检测到高风险命令。
  • 扫描发现:3 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/design/composites/goose-graphics-create-format" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/design/composites/goose-graphics-create-format" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/design/composites/goose-graphics-create-format" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/design/composites/goose-graphics-create-format" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/design/composites/goose-graphics-create-format" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: goose-graphics-create-format
description: >
  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.
tags: [design, content]

Create Goose Graphics 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.

When to use this skill

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.

Prerequisites

  • The 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
  • The screenshot tool's dependencies must be installed (goose-graphics/screenshot/node_modules/ must exist). If not:
    cd <path-to>/goose-graphics/screenshot && npm install && npx playwright install chromium
    
  • The user must be signed in to gooseworks (npx gooseworks login) for publish to authenticate.

Inputs

  • A brief describing the canvas: dimensions, intended use (platform / surface), and content density rules.
  • Optional: a reference image showing the desired layout.

Outputs (in a working directory)

<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.

Workflow

Step 1 — Pick a canvas (from the fixed allow-list) and confirm intent

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 slugDimensionsBest for
poster1080×1350Vertical hero composition, single panel
infographic1080×var.Tall vertical scroll, multi-section
carousel1080×1080Square single panel / multi-slide
slides1920×1080Widescreen / presentation
story1080×1920Vertical full-screen (IG/TikTok stories)
chart1080×1080Square data viz
tweet1080×1080Square testimonial / social card

Then ask the user:

  • Which canvas best fits the use case? (Pick from the table above.)
  • What is this format for? (Surface, platform, audience.)
  • What is the maximum content density? (Title length, body length, item 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.

Step 2 — Pick a name and slug

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.)

Step 3 — Draft contentRulesMd

This is the load-bearing field — it teaches future agents how to fill the canvas. Cover, in this order:

  • When to use this format vs the alternatives. One or two sentences.
  • Maximum content density. Exact limits: title word count, body word count, number of items / panels / slides, whether images are required or optional.
  • Per-section content rules. Header, body, CTA, footer — what goes where, what shape, what size. If the format is single-panel, list the elements (title, hero, byline, etc.) and their max sizes.
  • Typography signals. Recommended display font sizes and hierarchy at this canvas size (e.g., "Display hero ~140–180px on a 1584×396 banner").
  • Spacing and rhythm. Padding, margins, vertical rhythm.

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.

Step 4 — Render at least one example

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:

  1. Pick a style: npx gooseworks styles list | head and choose 2–3 with contrasting moods (e.g., matt-gray, neon-dashboard, brutalist).
  2. Fetch its slim spec: npx gooseworks styles get <slug>.
  3. Generate HTML at the exact target dimensions, using the chosen style's palette, fonts, and signature visual moves. The HTML rules from the goose-graphics rendering pipeline apply:
    • Self-contained single HTML file with inline <style> block + Google Fonts <link>.
    • Fixed pixel sizes only — no vw/vh/%/rem/em/clamp().
    • Outer dimensions match exactly: html, body { width: <W>px; height: <H>px; overflow: hidden; }.
  4. Render via the screenshot tool from the 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.

Step 5 — Write gooseworks-format.json

Match 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 chars
  • description: 20–1000 chars (required). See guidelines below.
  • width / height: must match one of the seven built-in canvases exactly (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.

Step 6 — Publish

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).

Step 7 — Confirm

Tell the user:

  • The published slug and the URL where the format lives in the catalog.
  • The dimensions and the styles used for the examples.
  • How any agent can now use it:
    /goose-graphics --style <any-slug> --format <new-slug> --brief "..."
    

Description-writing guidelines

Same shape as styles — 50–200 words, keyword-dense — but lead with canvas and content density instead of mood.

  • Lead with canvas + surface: "1080×1080 square testimonial card for X feed posts."
  • Mention single-panel vs multi-panel and approximate text limits.
  • Mention intended platform / surface (Instagram Stories, LinkedIn, print event flyer, etc.).
  • Mention audience and use case ("Use for product launches and event reminders where the viewer scrolls past in 2 seconds.").
  • Avoid generic adjectives. Be concrete: pixel counts, word counts, surfaces.

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."

Tag-writing guidelines

3–10 lowercase tags. Common format tags:

  • Aspect: vertical, square, portrait, landscape, banner, panoramic
  • Structure: single-panel, multi-slide, multi-panel
  • Surface: story, feed, cover, flyer, presentation, print
  • Use: social, ad, editorial, event
  • Platform fit: linkedin, instagram, tiktok, youtube, twitter

Skip tags that just restate the slug.

Anti-patterns to avoid

  • Don't ship without rendered examples. The backend rejects empty examples. Render at least one — recommend 2–3 across contrasting styles.
  • Don't bake style decisions into contentRulesMd. The format describes canvas + content density; the style describes palette + typography. Keep them separate so any style can pair with any format.
  • Don't skip the dimensions sanity-check. A typo here is permanent — every agent rendering against the format will produce off-size output.
  • Don't reference local files in this skill pack in the published manifest. All paths in examples[].file are relative to the working directory and live on the user's machine, not in this repo.
  • Don't publish without checking npx gooseworks formats list first — if the format already exists, point the user at it instead of publishing a duplicate.

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