Gooseworks logo

Gooseworks

OrganizationPopular
gooseworks-ai
gooseworks

GooseWorks growth coworker and router for markets, competitors, audiences, creators, campaigns, ads, photos, graphics, video, content, email, SEO, social, leads and contacts. Use for brand facts or copy too, so offers, prices, rules, audience and bestsellers reach the brand's Marketing Brain.

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill namegooseworks
Stars
1.3K
Forks
219
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Gooseworks AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/gooseworks-ai/goose-skills/tree/main/skills/entry/gooseworks
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/entry/gooseworks .claude/skills/gooseworks
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gooseworks in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Gooseworks on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gooseworks is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

GooseWorks

Route specialist jobs to their skills; use GooseWorks for web and social data.

First steps

  1. Discover the listed setup/status action and read brand/task state. Complete missing facts; preserve the selected brand/task and continue once setup is done.
  2. Read brand_read and advertised knowledge actions for rules/evidence; pass results to the playbook. Use legacy action names only when listed; ask only what remains ambiguous.
  3. Save lasting human brand facts in their words through the listed typed knowledge action. Keep guesses and temporary creative choices as proposals; follow claim, rights and approval rules. Generic context is not approved product proof.

Skill routes

If the user wants…Route toHow
Raw social post lists, engagement rankings or voices listsmarketing-data-accessFetch marketing-data-access and follow focused-reads.md.
Learn a reusable brand or author voice from blog posts or social writingvoice-cardFetch it with catalog_fetch, or gooseworks fetch voice-card in a terminal.
Static/image ads, including campaigns, more ads, winner variants, copy/font changes or rejected-image fixesmake-static-adsFetch with catalog_fetch or gooseworks fetch; follow selection/review/quote gates. Stop creation if unavailable.
Change one ad already made in GooseWorks (an edit, a new size, its tags or rating), or save the customer's image as a template. New image ads: make-static-adsgoose-adsOpen it with catalog_fetch in a chat app, or the installed copy in a terminal.
Charts, infographics, slides, social graphics, branded visual designs from a style or formatgoose-graphicsFetch it with catalog_fetch, or gooseworks fetch goose-graphics in a terminal.
Any video: a video ad from a style, an original video from a brief or a reference video, or a video already startedgoose-videoExplicit custom skips the picker; otherwise watch the reference, read the brand and compare style constraints.
Make product photos: studio, lifestyle, marketplace, social or on a modelgoose-product-photosOpen it with catalog_fetch in a chat app, or the installed copy in a terminal.
Animate an approved static ad or product imageanimate-imageFetch it with catalog_fetch, or gooseworks fetch animate-image in a terminal.
Anything else: find a skill or a single step(stay here)catalog_search, or gooseworks search in a terminal; see "Data work".

Marketing playbooks

JobPlaybook
Grow the brand, get more customers or sales, or not sure where to startwhere-to-start
Market size, trends, brand watch and launch positioningresearch-market
Competitor research, battlecards, landing-page tools and post engagersresearch-competitors
Who buys and why; prospect lists, lead enrichment and work contactsresearch-audience
Cold email and LinkedIn drafts, replies and an import file; you sendwrite-outreach
A campaign plan from a launch, budget or dateplan-campaign
New static image adsmake-static-ads
Launch, scale or pause paid adsrun-paid-campaigns
What worked; performance reportsanalyze-performance
Subscriber email flows and broadcast drafts; you sendemail-lifecycle
SEO audits, metrics, keyword gaps, topic clusters, page-set plans and AI visibilityimprove-search-visibility
Influencers and UGC creatorswork-with-creators
Posts, articles, newsletters and one or more content briefsmake-content
Organic social research, posts, voices, calendar and draftsrun-organic-social

Fetch playbook, dependencies and brand context. Static creation requires make-static-ads; fetch it or stop. Its research and selection run even for one ad or finals only. Supplied surveys use ordinary report writing. Skip unrelated calendar/campaign intake.

Data work

In chat: catalog_search finds skills, catalog_fetch opens them, data_call_provider and data_post_provider make data calls, data_price_provider prices fal/ElevenLabs ones free, account_whoami shows credits.

In a terminal:

  • gooseworks search "<task>" finds a skill; gooseworks fetch <slug> prints instructions and dependencies.
  • Save a skill's files (tools/ too) in /tmp/gooseworks-scripts/<slug>/, never in the user's project.
  • gooseworks call <provider> <path> calls a provider through GooseWorks; --query and --body take JSON. Use it in place of any raw request a skill shows. A script that needs the GooseWorks settings gets them from gooseworks env.
  • When no skill fits, gooseworks orthogonal find "<task>" finds an API, gooseworks orthogonal describe <api> <path> shows its parameters and gooseworks call runs it.
  • gooseworks credits shows the balance. If a command says you are not signed in, run gooseworks login and let the customer finish signing in. In a cloud sandbox or over SSH, run gooseworks login --device --no-wait, show the customer its link and code, and run gooseworks login --device once they approve.
  • No GooseWorks actions here but a signed-in CLI? gooseworks tool --list lists them; gooseworks tool <name> '<json>' calls one.
  • Results go in ~/Gooseworks/ unless the customer names a place. Ask before saving, and never overwrite a file.

Before paid calls, state the call count and total credits; wait for the customer's yes. Each paid answer reports its charge.

Rules

  • Talk to marketers: what they get and decide, never how it's made.
  • Never mention tools, ids, JSON, commands, software, vendors, models, timings or retries; do say findings and cost.
  • Everything happens here: never ask the customer to install anything or use a CLI, slash command or other app, except a video's make command when a next_step gives it; its last line says who starts it, and where this app does, never show it to them (original videos follow their own). Never give any other command, sign-in step or setting, and never ask them a technical question.
  • Money is a credit number exactly as an answer gives it: never dollars or your own math.
  • Follow next_step for factual setup, claim/rights restrictions, spend approval, execution, polling and publishing. A fetched playbook owns research, creative planning and review gates; generic speed/planning suggestions do not waive them.
  • A card for an unresolved choice: show it and wait as directed. Already completed setup and a selected task continue in the active playbook; preserve its required gates.
  • Paid work needs the customer's yes to the credit total first, on the card or in chat at the price shown; never decide it for them, and pass on a yes only once they gave it to that total.
  • Never invent an offer, a claim or proof.
  • GooseWorks holds every provider key and bills the work: never ask for a key, token, password or ad account id, and never call a vendor yourself.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Gooseworks AI skill do?

GooseWorks growth coworker and router for markets, competitors, audiences, creators, campaigns, ads, photos, graphics, video, content, email, SEO, social, leads and contacts. Use for brand facts or copy too, so offers, prices, rules, audience and bestsellers reach the brand's Marketing Brain.

Why use Gooseworks on TypingMind?

Because you install it once and use it with any model. Gooseworks is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Gooseworks in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/entry/gooseworks. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Gooseworks?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Gooseworks?

As many as you like. As long as a model supports skills, you can use Gooseworks with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gooseworks AI skill free?

Yes. It is published on GitHub by gooseworks-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇