Meme Generation logo

Meme Generation

OrganizationPopular
NousResearch
meme-generation

Create meme PNGs from templates with Pillow text overlay.

Overview

PublisherNousResearch
Repositoryhermes-agent
Skill namememe-generation
Stars
250.4K
Forks
53.5K
Bundled files
3
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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by NousResearch on GitHub. Read the source before you install it.

Installation

Install the Meme Generation 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/NousResearch/hermes-agent/tree/main/optional-skills/creative/meme-generation
  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/NousResearch/hermes-agent.git /tmp/hermes-agent
mkdir -p .claude/skills
cp -r /tmp/hermes-agent/optional-skills/creative/meme-generation .claude/skills/meme-generation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Meme Generation 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 Meme Generation 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 Meme Generation 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.

Meme Generation

Generate actual meme images from a topic. Picks a template, writes captions, and renders a real .png file with text overlay.

When to Use

  • User asks you to make or generate a meme
  • User wants a meme about a specific topic, situation, or frustration
  • User says "meme this" or similar

Available Templates

The script supports any of the ~100 popular imgflip templates by name or ID, plus 10 curated templates with hand-tuned text positioning.

Curated Templates (custom text placement)

IDNameFieldsBest for
this-is-fineThis is Finetop, bottomchaos, denial
drakeDrake Hotline Blingreject, approverejecting/preferring
distracted-boyfriendDistracted Boyfrienddistraction, current, persontemptation, shifting priorities
two-buttonsTwo Buttonsleft, right, personimpossible choice
expanding-brainExpanding Brain4 levelsescalating irony
change-my-mindChange My Mindstatementhot takes
woman-yelling-at-catWoman Yelling at Catwoman, catarguments
one-does-not-simplyOne Does Not Simplytop, bottomdeceptively hard things
grus-planGru's Planstep1-3, realizationplans that backfire
batman-slapping-robinBatman Slapping Robinrobin, batmanshutting down bad ideas

Dynamic Templates (from imgflip API)

Any template not in the curated list can be used by name or imgflip ID. These get smart default text positioning (top/bottom for 2-field, evenly spaced for 3+). Search with:

bash
python "$SKILL_DIR/scripts/generate_meme.py" --search "disaster"

Procedure

Mode 1: Classic Template (default)

  1. Read the user's topic and identify the core dynamic (chaos, dilemma, preference, irony, etc.)
  2. Pick the template that best matches. Use the "Best for" column, or search with --search.
  3. Write short captions for each field (8-12 words max per field, shorter is better).
  4. Find the skill's script directory:
    SKILL_DIR=$(dirname "$(find ~/.hermes/skills -path '*/meme-generation/SKILL.md' 2>/dev/null | head -1)")
  5. Run the generator:
    bash
    python "$SKILL_DIR/scripts/generate_meme.py" <template_id> ~/.hermes/cache/scratch/meme.png "caption 1" "caption 2" ...
  6. Return the image with MEDIA:~/.hermes/cache/scratch/meme.png

Mode 2: Custom AI Image (when image_generate is available)

Use this when no classic template fits, or when the user wants something original.

  1. Write the captions first.
  2. Use image_generate to create a scene that matches the meme concept. Do NOT include any text in the image prompt — text will be added by the script. Describe only the visual scene.
  3. Find the generated image path from the image_generate result URL. Download it to a local path if needed.
  4. Run the script with --image to overlay text, choosing a mode:
    • Overlay (text directly on image, white with black outline):
      bash
      python "$SKILL_DIR/scripts/generate_meme.py" --image /path/to/scene.png ~/.hermes/cache/scratch/meme.png "top text" "bottom text"
    • Bars (black bars above/below with white text — cleaner, always readable):
      bash
      python "$SKILL_DIR/scripts/generate_meme.py" --image /path/to/scene.png --bars ~/.hermes/cache/scratch/meme.png "top text" "bottom text"
    Use --bars when the image is busy/detailed and text would be hard to read on top of it.
  5. Verify with vision (if vision_analyze is available): Check the result looks good:
    vision_analyze(image_url="~/.hermes/cache/scratch/meme.png", question="Is the text legible and well-positioned? Does the meme work visually?")
    If the vision model flags issues (text hard to read, bad placement, etc.), try the other mode (switch between overlay and bars) or regenerate the scene.
  6. Return the image with MEDIA:~/.hermes/cache/scratch/meme.png

Examples

"debugging production at 2 AM":

bash
python generate_meme.py this-is-fine ~/.hermes/cache/scratch/meme.png "SERVERS ARE ON FIRE" "This is fine"

"choosing between sleep and one more episode":

bash
python generate_meme.py drake ~/.hermes/cache/scratch/meme.png "Getting 8 hours of sleep" "One more episode at 3 AM"

"the stages of a Monday morning":

bash
python generate_meme.py expanding-brain ~/.hermes/cache/scratch/meme.png "Setting an alarm" "Setting 5 alarms" "Sleeping through all alarms" "Working from bed"

Listing Templates

To see all available templates:

bash
python generate_meme.py --list

Pitfalls

  • Keep captions SHORT. Memes with long text look terrible.
  • Match the number of text arguments to the template's field count.
  • Pick the template that fits the joke structure, not just the topic.
  • Do not generate hateful, abusive, or personally targeted content.
  • The script caches template images in scripts/.cache/ after first download.

Verification

The output is correct if:

  • A .png file was created at the output path
  • Text is legible (white with black outline) on the template
  • The joke lands — caption matches the template's intended structure
  • File can be delivered via MEDIA: path

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 Meme Generation AI skill do?

Create meme PNGs from templates with Pillow text overlay.

Why use Meme Generation on TypingMind?

Because you install it once and use it with any model. Meme Generation 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 Meme Generation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NousResearch/hermes-agent/tree/main/optional-skills/creative/meme-generation. 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 Meme Generation?

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 Meme Generation?

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

Is the Meme Generation AI skill free?

Yes. It is published on GitHub by NousResearch 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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