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Ai campaign studio

Skill torykovdya/ai-campaign-studio

Platform-agnostic AI skill: transform a brand brief into a complete visual campaign — concept, brand system, style anchor, and production-ready marketing assets.From the repository description

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npx -y skills add torykovdya/ai-campaign-studio

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SKILL.md

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description: Transform a brand or product brief into a complete visual campaign — concept, brand system, style anchor, and production-ready marketing assets. argument-hint: <brand brief: description, audience, tone, campaign goal> allowed-tools: Read, Write, Bash, WebFetch

AI Campaign Studio

Transform a brand or product brief into a complete visual identity and launch asset system. Generate a consistent visual language and production-ready assets for social media, websites, presentations, and advertising.


Use When

  • Launching a new brand or product
  • Needing a visual campaign concept fast
  • Exploring creative directions before production
  • Creating visual assets for marketing or pitch

Do Not Use When

  • User needs a single illustration or icon
  • Brief has no product, brand, or audience defined
  • User asks for realistic photography of real people

Inputs

  • Brand or product description
  • Target audience
  • Campaign goal (awareness, launch, emotion, conversion)
  • Tone (bold, minimal, playful, premium, rebellious, warm)
  • Optional: color preferences, visual references

Rules

  1. Always define Creative Concept before generating any images
  2. Color palette must be established in Step 2 — never change it after
  3. All campaign assets must share the same visual identity, color palette, lighting style, and brand personality
  4. Each image must serve a different narrative purpose
  5. Use the highest-quality available image model. Preserve the same style anchor and generation requirements regardless of model choice.
  6. Prompts must include: mood, lighting, composition, color palette, atmosphere
  7. Style Consistency Check is mandatory — never skip it
  8. Define a Style Anchor in Step 2 — copy it verbatim into every image prompt
  9. At least 70% of generated assets must visualize actual services or outcomes. No more than 30% may use abstract AI symbolism
  10. Do not change artistic medium between images (e.g., illustration → photography is prohibited)

Workflow

Step 1 — Brand Analysis

Extract from brief:

  • Brand personality (3 adjectives)
  • Target audience (who they are, what they value)
  • Campaign goal (what should the audience feel or do)
  • Emotional tone (how the campaign should feel)
  • Key visual metaphors (what imagery represents this brand)

Step 1.5 — Differentiation Strategy

Analyze:

  • Common visual clichés in the category
  • Overused color palettes
  • Overused imagery and metaphors

Output:

  • What competitors typically do
  • What this campaign should avoid
  • Unique visual territory to own

Step 1.6 — Business Visualization Strategy

Translate services into visuals. For each core service define:

  • Visual representation
  • Metaphor
  • Recurring symbol

Examples:

  • Social Media → content streams
  • Automation → synchronized gears
  • Research → intelligence radar
  • Video → media frames

Step 2 — Creative Direction

Define the campaign's visual language:

  • Campaign concept (1–2 sentences, the big idea)
  • Campaign narrative (the story the images tell together)
  • Color palette (4–5 hex codes with names)
  • Lighting style (soft/dramatic/natural/studio/cinematic)
  • Composition style (minimal/dynamic/macro/wide/abstract)

Style Anchor

Output a reusable style block containing:

  • Artistic style
  • Rendering style
  • Color palette
  • Lighting style
  • Aspect ratio
  • Quality keywords

This exact block must be copied verbatim into every image prompt.


Step 2.5 — Brand System

Define:

  • Visual Identity summary
  • Typography Direction
  • Iconography Style
  • Brand Voice

Step 3 — Asset Planning

Generate a complete launch asset set.

Required assets:

  1. Profile Avatar (Founder or Brand Symbol — explain choice)
  2. Banner / Cover Image
  3. Website Hero Image
  4. Social Media Post #1 — Announcement
  5. Social Media Post #2 — Product/Service highlight
  6. Social Media Post #3 — Customer outcome

For each asset define:

  • Marketing Purpose
  • Target Platform
  • Dimensions
  • Visual Objective
  • Scene description
  • Emotion triggered
  • Camera angle and composition

Visual Continuity: at least one recurring visual element must appear across all assets (same character, product, symbol, or environment).

Asset Mapping: map every asset to a specific business use case.

CRITICAL: Profile Avatar and Banner are mandatory. Do not replace them with other assets.


Step 4 — Asset Generation

For every asset output:

  • Asset Name
  • Purpose
  • Target Platform
  • Dimensions
  • Full prompt (including verbatim Style Anchor)

Generate all assets using the highest-quality available image model.


Step 5 — Style Consistency Audit

After all assets are generated, verify:

For each category provide Status (PASS / FAIL) and Score (0–100):

  • Color Palette
  • Lighting Style
  • Artistic Style
  • Visual Continuity
  • Aspect Ratio
  • Prompt Consistency

Provide an Overall Consistency Score.

If any category FAILS: flag it and suggest specific prompt adjustment.


Validation

Before final output verify:

  • Creative concept defined before any generation
  • Color palette established in Step 2 and used in all prompts
  • Style Anchor defined and copied verbatim into all prompts
  • All required assets generated (Avatar, Banner, Hero, 3 Social Posts)
  • Each asset serves a distinct marketing purpose
  • Asset Mapping completed
  • Social posts communicate different messages (Announcement / Product / Outcome)
  • Style Consistency Audit completed with scores

Output

A complete launch asset package:

  • Campaign Concept (the big idea)
  • Campaign Narrative (the story)
  • Differentiation Strategy (what to avoid and own)
  • Color Palette (hex codes with names)
  • Style Anchor (reusable prompt block)
  • Brand System summary
  • Asset Mapping (every asset → business objective)
  • 6 Generated Assets with individual prompts
  • Style Consistency Report with overall score

What ships with it: 8 files

24.3 KB alongside SKILL.md

Gives 0 of the 12 instructions most marketing audience skills give in ~1.3k tokens

Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07

  • Apply Poppins font to headingsin 41 of 690, across 6 files
  • Apply Lora font to body textin 41 of 690, across 6 files
  • Use Arial fallback for headingsin 39 of 690, across 4 files
  • Use Georgia fallback for body textin 39 of 690, across 4 files
  • Maintain text hierarchy and formattingin 39 of 690, across 4 files
  • Use accent colors for non-text shapesin 38 of 690, across 3 files
  • Use RGB values for precise color matchingin 38 of 690, across 3 files
  • Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
  • Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
  • Use active voice instead of passive voicein 26 of 690, across 10 files
  • Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
  • Prioritize clarity over clevernessin 22 of 690, across 8 files

Said here and by no other author read

  • define creative concept before generating images
  • establish color palette before generating assets
  • maintain consistent visual identity across assets
  • make each image serve a different narrative purpose
  • use the highest-quality available image model
  • include specific visual elements in each prompt

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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