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poster-designer

Generate professional poster design concepts and optimized image-generation prompts, then automatically run a drawing script to produce the final poster image when a user needs a poster.

Install / Use

npx skills add aipoch/medical-research-skills --skill poster-designer

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

82/100

Category

Automation

Supported Platforms

Zed

Our assessment of poster-designer

poster-designer scores 82/100 on our quality scale, 1783rd of 2,464 Automation skills we index.

Its SKILL.md is 5.1 KB long, well organised into 11 sections and no code examples: a solid amount of guidance for an agent.

With 1,916 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
13/20
Description
15/15
Adoption
14/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 12 days ago, so poster-designer is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

poster-designer compared with similar skills

All 4 of these similar skills score higher than poster-designer; compare them before choosing.

SkillScoreStarsUpdatedFormat
poster-designer (this skill)by aipoch821.9k12d agoSKILL.md
Agent-Reachby Panniantong10086.2k14d agoCLAUDE.md
rufloby ruvnet10073.5ktodayCLAUDE.md
Scraplingby D4Vinci10084.6ktodayMCP Server
LocalAIby mudler10049.3ktodayMCP Server

Frequently asked questions

How do I install poster-designer?
Run npx skills add aipoch/medical-research-skills --skill poster-designer. The install tabs above show the steps for each supported agent.
Which AI agents does poster-designer work with?
It is written for Zed, as a SKILL.md file. Other agents that read the same format can often use it too.
Is poster-designer safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is poster-designer still maintained?
The repository was last updated 12 days ago, so poster-designer is actively maintained.

name: poster-designer description: Generate professional poster design concepts and optimized image-generation prompts, then automatically run a drawing script to produce the final poster image when a user needs a poster. license: MIT author: AIPOCH

Source: https://github.com/aipoch/medical-research-skills

Poster Designer (Auto-Gen Edition)

This skill turns a user’s poster requirements into (1) structured design elements, (2) an optimized image-generation prompt, and (3) an automatically generated poster image by running a Python script.

It relies on the prompt templates in: references/design_prompts.md

When to Use

Use this skill when the user wants to:

  1. Design a professional poster for an academic event, conference, or research announcement.
  2. Create a marketing poster for a product launch, promotion, or brand campaign.
  3. Generate a holiday/festival poster concept and produce the final image automatically.
  4. Produce multiple poster concepts quickly by changing style, palette, or layout constraints.
  5. Convert a text brief (title/body/call-to-action) into a visually consistent poster image.

Key Features

  • Requirements intake with missing-field detection and follow-up questions.
  • Design element analysis using a dedicated “Design Analysis Prompt”.
  • High-quality image prompt synthesis using an “Image Prompt Generation Prompt”.
  • Automatic image generation by executing a Python script with the generated prompt.
  • Style consistency enforcement (the prompt must match the requested style).
  • Optional asset placement guidance (logo/QR code) embedded into the prompt.

Dependencies

  • Python 3.10+
  • Python package: zhipuai (install via pip install zhipuai)
  • Environment variable: ZHIPUAI_API_KEY (required for image generation)
  • Prompt templates: references/design_prompts.md
  • Script: scripts/generate_image.py

Example Usage

1) Collect requirements (ask if missing)

User input example

  • Scenario/type: Product promotion
  • Style: Cyberpunk illustration
  • Title (optional): “NEON SALE”
  • Body text: “Up to 50% off smart wearables. This weekend only.”
  • Primary color: Neon magenta + deep blue
  • Layout preference (optional): Left-right split, bold title on left
  • Assets (optional): Brand logo top-left, QR code bottom-right

If any of the above fields are missing, ask targeted questions until you have enough to proceed.

2) Analyze design elements (from references/design_prompts.md)

Use the Design Analysis Prompt in references/design_prompts.md:

  • Fill the collected info into [Poster Design Requirements]
  • Generate:
    • Mandatory Modules
    • Recommended Layout
    • Style Details

3) Generate the final image prompt (from references/design_prompts.md)

Use the Image Prompt Generation Prompt in references/design_prompts.md:

  • Fill user info into [Basic Requirements]
  • Fill Step 2 output into [Design Elements]
  • Produce the optimized image-generation prompt string (the “generated_prompt”).

4) Run the script to generate the image (must be attempted)

  1. Ensure ZHIPUAI_API_KEY is set.

    Windows PowerShell

    $env:ZHIPUAI_API_KEY="your_key"
    
  2. Run:

    python scripts/generate_image.py "<generated_prompt>"
    
  3. On success, the script prints an output image path. Inform the user that the image is generated and provide the path.

  4. If the script fails (e.g., missing key), clearly instruct the user to set ZHIPUAI_API_KEY and rerun the command.

Implementation Details

Workflow (must follow)

  1. Requirements Collection

    • Required: scenario/type, style, body text, primary color
    • Optional: title, layout preference, assets (logo/QR code)
    • If any required field is missing, ask follow-up questions before continuing.
  2. Design Analysis

    • Use references/design_prompts.md → Design Analysis Prompt
    • Populate [Poster Design Requirements]
    • Output must include:
      • Mandatory Modules (e.g., title block, body copy block, CTA, brand area)
      • Recommended Layout (e.g., grid, symmetry, left-right split)
      • Style Details (e.g., typography, texture, lighting, composition cues)
  3. Image Prompt Generation

    • Use references/design_prompts.md → Image Prompt Generation Prompt
    • Combine:
      • [Basic Requirements] (user brief)
      • [Design Elements] (analysis output)
    • Enforce style consistency: the final prompt must strictly match the requested style and palette.
  4. Asset Placement Rules

    • If the user provides a logo/QR code, the prompt must explicitly specify placement (e.g., “logo at top-left”, “QR code at bottom-right”) and reserve visual space accordingly.
  5. Automatic Execution Requirement

    • After producing the final prompt, you must attempt to run scripts/generate_image.py with that prompt (not only return the prompt).
    • If execution cannot proceed due to missing configuration (e.g., ZHIPUAI_API_KEY), return actionable setup instructions and the exact command to rerun.

Related Skills

View on GitHub
GitHub Stars1.9k
CategoryAutomation
Updated12d ago
Forks175

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions