Make Static Ads Claims Extract logo

Make Static Ads Claims Extract

OrganizationPopular
gooseworks-ai
make-static-ads-claims-extract

Step of the make-static-ads playbook: pulls every claim-bearing span out of an ad — the copy around the image, the on-image words in the prompt, badges, and what the picture implies — and keeps or cuts each by the brand-brain rule. Runs before spend on the finished prompt (Pass A) and on every render (Pass B). Run make-static-ads instead; not for direct use.

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill namemake-static-ads-claims-extract
Stars
1.3K
Forks
219
Bundled files
1
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.

  • 1 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 Make Static Ads Claims Extract 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/make-static-ads-claims-extract
  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/make-static-ads-claims-extract .claude/skills/make-static-ads-claims-extract
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Make Static Ads Claims Extract 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 Make Static Ads Claims Extract 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 Make Static Ads Claims Extract 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.

claims-extract

Every factual line in an ad is a usable fact or is cut (../make-static-ads/references/claims-and-policy.md §2, which applies the claims-gate skill). This atom is the static-ad extract step.

Reads: the copy (the make-static-ads-ad-copy skill); each ad's finished prompt (the make-static-ads-compose skill) for Pass A, or its renders for Pass B; the claims contract loaded at Step 1 (../claims-gate/SKILL.md §1); ../make-static-ads/references/claims-and-policy.md §1–2 (what counts, trigger words, the four doors, offers); the product record and real label text. Writes: per ad, the span list with a verdict per span; the per-ad result and the cut list (hand-off and batch file).

  1. Pass A — extract from each ad before any quote: primary texts, link headline, description, CTA, destination; from the prompt, every on-image word it asks the model to draw (headline, support line, badge, sticker, quote) and what its scene implies (before/after pairs, glow "results", lab coats, seals, a picture that says the product replaces other products); offer terms.
  2. Pass B — what the model drew: read the render (by eye, or its automatic read) for words it added or changed, invented "#1", stars, seals, laurels, prices, a badge carried over from a reference, dropped qualifiers and garbled text.
  3. Verdict per span by the usable-fact rules (claims-and-policy.md §2): keep it as recorded, keep it only as a quoted and attributed line, or cut it with what would confirm it. Use the trigger words there to spot spans; a shortened, merged or reworded claim is a new claim (rewording: ../claims-gate/SKILL.md §1.7).
  4. A cut on-image line → rewrite that ad's copy and prompt (the make-static-ads-compose skill (../make-static-ads-compose/SKILL.md)) around usable facts only; the cut words never appear in the new prompt. A scene that implies the cut claim changes too. Then run Pass A again. A cut copy line → ad-copy rewrites it.
  5. Offers, prices, stock: as ../make-static-ads/references/claims-and-policy.md §2 says. A translated ad is a new ad for this check.
  6. A claim the marketer confirms in this chat counts only as the claims-gate skill's sign-off records it (../claims-gate/SKILL.md §4).

Result per ad in plain words for chat ("safe to say", "cut 'never oily' — nothing on file confirms it; a test or your own confirmation would"); the spans, statuses and cut list in the batch file.

Done: every span has keep, quote or cut; no cut words remain in any prompt or copy.

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 Make Static Ads Claims Extract AI skill do?

Step of the make-static-ads playbook: pulls every claim-bearing span out of an ad — the copy around the image, the on-image words in the prompt, badges, and what the picture implies — and keeps or cuts each by the brand-brain rule. Runs before spend on the finished prompt (Pass A) and on every render (Pass B). Run make-static-ads instead; not for direct use.

Why use Make Static Ads Claims Extract on TypingMind?

Because you install it once and use it with any model. Make Static Ads Claims Extract 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 Make Static Ads Claims Extract in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/make-static-ads-claims-extract. 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 Make Static Ads Claims Extract?

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 Make Static Ads Claims Extract?

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

Is the Make Static Ads Claims Extract 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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