Make Static Ads Fix Rejected

OrganizationPopular

gooseworks-ai

make-static-ads-fix-rejected

Step of the make-static-ads playbook: fixes a static image ad the platform rejected — finds the ad, maps the platform's reason to the line or element at fault, fixes copy for free or re-composes the image text on a quote, re-runs the claims and policy checks, and answers the request. A rejected video is the video playbook's job. Run make-static-ads instead; not for direct use.

Overview

Publisher	gooseworks-ai
Repository	`goose-skills`
Skill name	`make-static-ads-fix-rejected`
Stars	1.3K
Forks	219
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/make-static-ads-fix-rejected
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/make-static-ads-fix-rejected

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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-fix-rejected .claude/skills/make-static-ads-fix-rejected

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Make Static Ads Fix Rejected 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 Fix Rejected 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 Fix Rejected 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.

fix-rejected

Runs in place of the playbook's steps: no new board. The rejected ad's board row and prompt (in its batch file) are the basis; keep its idea and change only what the rule requires.

Reads: the open Fix needed: for make-static-ads line in ads/campaigns/<slug>/rotation-requests.md and the health line of ads/campaigns/<slug>/state.md (gooseworks:file_read), or, asked in chat, the ad and the platform's exact reason (ask for both if missing); the creative (gooseworks:ads_creative_read by tag, or gooseworks:ads_template_read mode: "mine"); its batch-file entry. Writes: the fix in the batch file under the ad; a Fix ready: answer under the request line (re-read the file, insert, write the whole file back with gooseworks:file_write).

Find the ad and read its copy, its on-image text, its board row and its prompt.
Map the reason to the exact line or element at fault (the ad-policy-check skill (../ad-policy-check/SKILL.md)).
Fix it:
- The fault is in the copy around the image → rewrite that line (the make-static-ads-ad-copy skill (../make-static-ads-ad-copy/SKILL.md)). Free.
- The fault is in the image → rewrite its prompt with the make-static-ads-compose skill (../make-static-ads-compose/SKILL.md): the same scene with the faulty line or element changed. Images in order: the product photo first, then the rejected ad's raw render without the logo, to keep the look. Run step 4's checks on the new prompt, then gooseworks:ads_render dry_run: true, the quote as given, the marketer's yes, submit, and the make-static-ads-render-review skill (../make-static-ads-render-review/SKILL.md), which places the logo again.
- Nothing in the ad breaks the rule → say so and suggest asking the platform for a review.
Re-run both checks on the fixed copy or prompt before any quote, and on the new render after it: the make-static-ads-claims-extract skill (../make-static-ads-claims-extract/SKILL.md) and ad-policy-check.
Answer Fix ready: under the request, and offer to save the lesson in the marketer's words (the save-learning skill (../save-learning/SKILL.md)).

Done: the fixed ad passed both checks, or you said why nothing in it breaks the rule; the Fix ready: line is written.

Bundled files

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

skill.meta.json1 KB

Frequently asked questions

What does the Make Static Ads Fix Rejected AI skill do?

Why use Make Static Ads Fix Rejected on TypingMind?

Because you install it once and use it with any model. Make Static Ads Fix Rejected 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 Fix Rejected 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-fix-rejected. 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 Fix Rejected?

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 Fix Rejected?

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

Is the Make Static Ads Fix Rejected 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

fix-rejected

Bundled files

Frequently asked questions

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