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Make Static Ads Concept Grid

OrganizationPopular
gooseworks-ai
make-static-ads-concept-grid

Step of make-static-ads: turns the chosen angles into messages, visual ideas and a template per ad, checks each against the brand profile and recent ads, writes the concept board and has a fresh critic attack it before any copy, prompt or spend. Run make-static-ads instead; not for direct use.

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill namemake-static-ads-concept-grid
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 Concept Grid 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-concept-grid
  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-concept-grid .claude/skills/make-static-ads-concept-grid
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Make Static Ads Concept Grid 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 Concept Grid 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 Concept Grid 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.

concept-grid

Read first: ../make-static-ads/references/ideas.md §1–4 (§1 the failure and what a demonstration is; §2 the method, whose A is the material for step 2 below; §3 the tests; §4 two short examples), ../make-static-ads/references/levels.md (what each creativity level keeps from the template). This step is the order of work. Reads: profile.md and what Step 1 found (product facts, customer words, history); the angles and level chosen in Step 2. Writes: board.md in the batch folder ads/batches/<YYYY-MM-DD>-<slug>/ (on a host with no files, in the batch file).

The order is fixed: angle → message → visual idea → style → template. The template never decides the message.

1. Angle

Each ad starts from the angle chosen in Step 2: one of the profile's angles, or a marked new one (the cap: ../make-static-ads/SKILL.md Step 2). Several ads may share an angle; they then need different messages.

2. Message

For each ad, the one thing it says, as a plain sentence, grounded in a product fact or customer situation with its source, or labelled (hypothesis). Draft two or three messages per angle and keep the strongest. The message must sound like the brand (the profile's voice and positioning), not like a generic ad.

3. Visual idea

For each message: the tension (want / obstacle / why this product belongs), then the picture. At bold, a physical event (ideas.md §2 C). At balanced, an event or scene that fits a template's layout. At close, a proven scene named in words ("product centred on a split comparison table"), so the idea is mostly in the message; the template step then finds a template that carries that scene. Draft two or three for the strongest messages before choosing. Browse templates or references now if you need more devices.

4. Style

Pick each ad's style from the table in levels.md (Style), starting with the styles the brand's own ads use (profile.md). Check the set as you go against the style rule there.

5. Template

Every ad gets a template in its chosen style, picked after the visual idea and style so the layout fits both (the make-static-ads-find-references skill (../make-static-ads-find-references/SKILL.md)). Record what the level keeps from it (levels.md).

6. Tests

Run on each candidate, fix or drop failures:

  • Brand fit: would this brand run it? It serves a profile angle (or is marked new), sounds like the brand, and its look fits the profile. An idea the brand's marketer would call "not us" fails, however clever.
  • No repeat: against the brand's live ads and its last 10 ads made in GooseWorks (Step 1), an ad may share an angle, but at least one of message, visual idea or template must change. Within this set, every ad has its own message, the set follows the style rule in levels.md (Style), and no product is the hero of more than half the set unless the marketer chose it. The same ad resized or for another platform is not a repeat.
  • The six tests in ideas.md §3: swap, stranger, thumbnail, show-it, build, truth.

7. Choose the set

One different message per ad, not one look per ad. At most one straight demonstration per five, and only if watching it answers the buyer's main question.

8. Write the board

markdown
# Concept board — <brand>, <product>, <date>

Read: <what you actually read, with counts; what was skimmed; what wasn't checked>
Level: <close / balanced / bold> · Angles: <chosen, and who chose them> · Templates from outside the library: <which, or what was tried>

| # | Angle (profile / new) | Message (source) | Visual idea | Style | On-image text (per slot) | Template (source, what it keeps) | Protect |
|---|---|---|---|---|---|---|---|
| 1 | ... | ... | ... | ... | "..." / "..." | ... | ... |

## Critic notes and what changed
## Dropped ideas (why)
## Step 2 answers
## Run check (playbook Step 7)
  • Visual idea: one sentence a stranger could picture.
  • On-image text: one working line per template slot; playbook Step 4 (copy) finalises it.
  • Template: where it came from (brand's own ad, library, another brand's ad) and what this ad keeps from it.
  • Protect: the one detail that kills the idea if lost (ideas.md §2 E).

9. The critic

Give a fresh subagent only: the board (without the critic section), profile.md, the brand's own ads you looked at, the product photos, and the product records and claims on file as they came back (not your summary). Not your reasoning. Ask it to:

  • name any row this brand would not run, judged against the profile and its real ads;
  • name any row that repeats a live or recent ad, or another row, in message, visual idea and template together;
  • run the swap and stranger tests on every row;
  • name demonstrations dressed up as ideas;
  • check each event is buildable (no small handwriting, long in-scene text, many hands, crowds or fragile physics) and readable at thumbnail size;
  • name a style used by most of the set, or a set that reads as one look (for example all staged props or miniatures);
  • name rows that look empty or bland: a headline on blank space, a symbol instead of the real thing, or the same text pattern as another row;
  • check each source supports what the row implies;
  • pick the two weakest rows and say why.

Fix or replace what it names; write its notes and your changes into the board. A row you keep against its objection says why. New or rewritten rows go back to a critic once. At most two critic rounds: objections still open after that go on the board for the marketer. No subagents on this host → no critic runs; the Step 7 board says so (its question for this case: ../make-static-ads/references/handoff-format.md §2). Your own review does not count as a critic.

Done: every row has an angle, a sourced message, a visual idea, a style, a template and a protected choice; the set meets the style rule; every row passed the tests and survived the critic or was changed.

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 Concept Grid AI skill do?

Step of make-static-ads: turns the chosen angles into messages, visual ideas and a template per ad, checks each against the brand profile and recent ads, writes the concept board and has a fresh critic attack it before any copy, prompt or spend. Run make-static-ads instead; not for direct use.

Why use Make Static Ads Concept Grid on TypingMind?

Because you install it once and use it with any model. Make Static Ads Concept Grid 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 Concept Grid 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-concept-grid. 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 Concept Grid?

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 Concept Grid?

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

Is the Make Static Ads Concept Grid 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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