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Marketing Data Access

OrganizationPopular
gooseworks-ai
marketing-data-access

How to get live public data (ads libraries, social posts and comments, search results, creator profiles), business identity/work-contact reads, domain SEO metrics and paid media generation through GooseWorks, with no vendor key. Load before any playbook step that reads public data or calls an outside model: which proxy call fits the job, what it costs, how to get the human's yes, and what to do when the data is not reachable. Not for brand facts (read the brand brain) or the customer's own ad accounts (the GooseWorks ads tools, or an ads connector they have).

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill namemarketing-data-access
Stars
1.3K
Forks
219
Bundled files
2
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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 Marketing Data Access 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/marketing/marketing-data-access
  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/marketing/marketing-data-access .claude/skills/marketing-data-access
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Marketing Data Access 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 Marketing Data Access 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 Marketing Data Access 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.

marketing-data-access

One door to outside data and models: the GooseWorks proxy. The customer never needs a vendor account or key, and GooseWorks bills the calls in credits.

A focused data request

For a post list, engagement ranking or voices list, read focused-reads.md, then return the requested data without a full marketing report or calendar. Use only the relevant endpoint reference; preserve dates, exact measures and coverage.

Managed marketing data

When the current tool list includes marketing_data_describe and marketing_data_lookup, use them for curated people/company search and enrichment, work-email finding/verification, LinkedIn post engagers and domain SEO metrics. Describe is free and returns current operation schemas. Lookup defaults to a free quote: preserve the request, show the quoted maximum credits, obtain approval through spend-gate branch A, then execute with its request-bound quote token and approved ceiling. Read the actual result and charge before claiming coverage. Operations differ: total visits are not organic traffic, a finder is not an email check, and post counts are not people who engaged. For paginated LinkedIn results, preserve the returned continuation token and follow the live schema; do not start later pages as new searches or invent a provider receipt. Read every partial-failure receipt and cost before deciding whether to retry. No arbitrary vendor paths, personal email or phone lookups.

If these tools are absent, use public pages, an existing read-only connector or a supplied export and label missing fields. Do not tell the customer to obtain vendor keys.

Raw provider calls

CallUse it forCost
gooseworks:data_call_providerGET: public social and search data (scrapecreators), ElevenLabs voice list, fal job pollsScrapeCreators reads are paid; the result says what it cost
gooseworks:data_post_providerPOST: fal models (image, video, transcription), ElevenLabs speech and music, ScrapeCreators bulk readsPaid
gooseworks:data_price_providerPrice fal and ElevenLabs calls before running themFree, read-only

Read each tool's own description for its parameters; this skill never repeats them. Prefer the purpose-built GooseWorks tools when one fits the job (ads_library_scrape, competitor_research, social_inspiration_search, photos_generate, video_*, ads_generate): they carry the brand, the review flow and the billing gate. Use the raw proxy only for what those tools do not cover.

Which ScrapeCreators read fits the job

Pick by the question. Paths below are the ones the playbooks use today; query keys, recency options and paging live in ../spend-gate/proxy-endpoints.md (in the spend-gate skill) (never guess a key).

QuestionReads
What ads is a brand running?Meta Ad Library (/v1/facebook/adLibrary/search/companies, /v1/facebook/adLibrary/company/ads, /v1/facebook/adLibrary/search/ads, /v1/facebook/adLibrary/ad), /v1/google/ad, /v1/linkedin/ads/search, /v1/tiktok/ad-library/search
What is ranking on Google for a query?/v1/google/search (organic page one only: no AI Overview, no People-Also-Ask, no local pack)
What are people saying about a topic?/v1/reddit/search, /v1/reddit/post/comments, /v1/twitter/search/posts, /v1/threads/search, /v1/tiktok/search/keyword, /v2/instagram/reels/search, /v1/youtube/search, /v1/linkedin/search/posts, /v1/pinterest/search
What do customers say under posts and videos?/v1/tiktok/video/comments, /v2/instagram/post/comments, /v1/youtube/video/comments, /v1/facebook/post/comments
What is a brand or creator posting?/v2/instagram/user/posts, /v1/instagram/user/reels, /v3/tiktok/profile/videos, /v1/youtube/channel-videos, /v1/linkedin/company/posts, /v1/twitter/user-tweets
What does this video say? (transcript of a public video)/v1/youtube/video/transcript, /v1/tiktok/video/transcript, /v2/instagram/media/transcript
Who is this X account?/v1/twitter/profile, then /v1/twitter/user-tweets for its posts
Who is this creator, and how do I reach them?/v1/instagram/profile, /v1/linkedin/profile, link-in-bio reads (/v1/linktree, /v1/linkbio, /v1/komi, /v1/pillar)
What is trending?/v1/tiktok/get-trending-feed, /v1/instagram/reels/trending, /v1/youtube/shorts/trending, search suggestions and typeahead reads
What do buyers say about a product on TikTok Shop?/v1/tiktok/shop/product/reviews

Free sources that need no proxy

Use these first, with the host's own fetch, including in scheduled runs that have no browser:

  • Hacker News: the public Algolia search API (https://hn.algolia.com/api/v1/search?query=<terms>&tags=story, add &numericFilters=created_at_i><unix> for recent) for launches, developer chatter and B2B buying signals.
  • RSS and Atom feeds: blogs, changelogs and press pages (/feed, /rss, /blog/rss.xml, or the <link rel="alternate"> in a page's head) to watch what rivals publish and ship.
  • Sitemaps: /sitemap.xml to map a site's page types (comparison, alternatives, pricing, use-case pages) without crawling it.

Money rules

Every paid call goes through the spend-gate skill (../spend-gate/SKILL.md), which holds the rules: branch A for priced calls (fal, ElevenLabs), branch B for ScrapeCreators reads. Two more here:

  1. Retry safely. Reuse the same idempotency_key when retrying a fal or ElevenLabs call, so nothing is charged twice.
  2. Read narrow first. One query, one page; widen only when the first page answers the question badly.

Never

  • Never use or ask for a vendor key (APIFY_API_TOKEN, FAL_KEY, APOLLO_API_KEY, ELEVENLABS_API_KEY, OPENAI_API_KEY or any other).
  • Never put credentials or secrets in query or body.
  • Never present one source as another (organic Google results are not an AI-answer read).

When the data is not reachable

The raw proxy covers public social and search data, fal and ElevenLabs. The managed marketing tools above cover their listed lead/contact and SEO operations when deployed. Neither path promises unlisted metrics, AI-answer engines (ChatGPT, Perplexity, AI Overviews), Search Console, page-speed data, app-store listings, or the customer's own email, store and analytics tools.

When a step needs one of these, in this order:

  1. Use a connector the host agent already has for the customer's own account, read-only (only run-paid-campaigns makes changes through one: the marketing-guide §3, "Connectors").
  2. Use the host's own web search, web fetch or browser for public pages and news (launches, funding, press, job posts, changelogs). This is free and should be the default for anything recent.
  3. Ask the human for the export or a screenshot, in plain words.
  4. Otherwise skip the step and say plainly what went unread. Never estimate the missing number. When only the marketer can provide missing account data, name the needed export and columns plainly.

If GooseWorks is not connected at all, follow the marketing-guide skill (../marketing-guide/SKILL.md) §1 step 1; in local mode, use steps 1–3 only, with no paid reads, and say once what went unread.

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 Marketing Data Access AI skill do?

How to get live public data (ads libraries, social posts and comments, search results, creator profiles), business identity/work-contact reads, domain SEO metrics and paid media generation through GooseWorks, with no vendor key. Load before any playbook step that reads public data or calls an outside model: which proxy call fits the job, what it costs, how to get the human's yes, and what to do when the data is not reachable. Not for brand facts (read the brand brain) or the customer's own ad accounts (the GooseWorks ads tools, or an ads connector they have).

Why use Marketing Data Access on TypingMind?

Because you install it once and use it with any model. Marketing Data Access 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 Marketing Data Access in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/marketing-data-access. 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 Marketing Data Access?

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 Marketing Data Access?

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

Is the Marketing Data Access 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.

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