复制安装命令
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
Put your AI agent on the growth team.
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
来源文件:README.md
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
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>
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
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
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.
| Stage | What your agent can do | Example skills |
|---|---|---|
| Research | Understand the brand, customers, competitors, audiences, creators, trends, comments, and product demand | brand-research, audience-research, comment-mining, competitor-social-research, influencer-prospecting, trend-discovery, product-demand-research |
| Analyze | Diagnose ads, creator profiles, transcripts, policy risk, landing-page message match, and unusual social performance | competitor-ad-intelligence, creator-profile-teardown, transcript-intelligence, meta-ads-analyzer, meta-ad-policy-checker, ad-to-landing-page-auditor, outlier-post-finder |
| Create | Repurpose research, remix graphic ads, make product photography and social graphics, and animate static images | content-repurposing, remix-graphic-ad-from-reference, product-photoshoot, goose-graphics, animate-image |
| Learn and iterate | Bring results back into research and analysis, then decide the next test | Re-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.
npx gooseworks search "reddit scraping" # Search the skill catalog
npx gooseworks credits # Check your credit balance
npx gooseworks update # Update to latest skill version
200+ skills across the growth stack, grouped by focus area:
| Category | What's inside |
|---|---|
| Ads | Research, build, and analyze paid campaigns across Meta and Google |
| SEO | Keyword research, content gaps, SERP analysis, technical audits |
| Lead generation | Find, enrich, and qualify prospects for your pipeline |
| Outreach | Draft, personalize, and run outbound across email and social |
| Content | Blog posts, social content, carousels, video scripts, newsletters |
| Research | Company, market, and prospect deep-dives |
| Competitive intel | Track competitor pricing, launches, positioning, and ads |
| Monitoring | Watch for mentions, signals, and changes across the web |
| Social | Scrape and analyze social platforms and audiences |
| Brand | Voice, positioning, and visual brand assets |
Browse and search every skill at skills.gooseworks.ai.
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.
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
Each skill directory must include:
SKILL.md — Skill documentation and usage guideskill.meta.json — Machine-readable metadataskill.meta.json fields:
| Field | Required | Description |
|---|---|---|
slug | Yes | Unique kebab-case identifier |
category | Yes | capabilities, composites, or playbooks |
tags | Yes | String array of category tags |
installation.base_command | Yes | Install command |
installation.supports | Yes | Array: claude, codex, cursor |
features | No | Feature flags |
github_url | No | Source repository URL |
author | No | Skill author |
example_prompt | No | Copyable prompt shown in the catalog and docs for trying the skill |
These skills run inside your coding agent, so it's worth knowing exactly what they do:
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./tmp/gooseworks-scripts/, never into your project directory. Only API requests go through GooseWorks servers; review any script before letting your agent run it.SKILL.md to tune that behavior.~/.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.gooseworks install --mcp.Found something that looks off? Open an issue — we'd rather fix it in public.
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.
Built by GooseWorks
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]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-graphicsgoose-graphics/screenshot/node_modules/ must exist). If not:
cd <path-to>/goose-graphics/screenshot && npm install && npx playwright install chromium
npx gooseworks login) for publish
to authenticate.<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:
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:
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 with
contrasting moods (e.g., matt-gray, neon-dashboard, brutalist).npx gooseworks styles get <slug>.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 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.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.
"1080×1080 square testimonial card for X 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,
panoramicsingle-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 describes
canvas + content density; the style describes palette + typography. Keep them
separate so any style can pair with any format.examples[].file are relative to the working directory and live
on the user's machine, not in this repo.npx gooseworks formats list first — if
the format already exists, point the user at it instead of publishing a
duplicate.
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