anycap-social-meme-workflows
Create meme-style images, funny meme drawings, captioned photos, and lightweight social visuals with AnyCap. Use when an agent needs to turn a joke, reaction, campaign hook, quote, or screenshot into a meme image, funny doodle-style meme drawing, captioned image, or short meme-video concept. Combine
By anycap-ai · 436 installs
npx skills add anycap-ai/anycap --skill anycap-social-meme-workflows
Source repository · Upstream listing
AnyCap Social Meme Workflows
Use this skill when the output needs to feel like a meme, captioned social post, or reaction visual, but still has to be reproducible.
Do not rely on image generation alone for exact caption text.
Use AnyCap to create or edit the base visual, then render the final caption locally so the text is exact.
Read First
Read these files before acting:
1. This file for the workflow
2. [references/workflows.md](references/workflows.md) for pattern selection, prompt formulas, and article mapping
For detailed CLI syntax, authentication, and capability reference, use the anycap cli skill.
Best Fit
Use this skill for:
meme style hero images with exact top or bottom text
funny meme drawings with doodle style internet humor
captioned photos for blog posts or social posts
reaction visuals from an existing screenshot or photo
short meme video concepts where the still or base frame comes first
use case demos that need both generated media and a repeatable workflow
Do not use this skill for:
large meme template databases
highly specific internet meme lore pages
exact brand or copyrighted character recreation requests
production subtitle pipelines with timing heavy caption editing
Core Rule
Split the task into two layers:
1. Base visual layer with AnyCap
2. Exact text layer with deterministic local rendering
Why:
image models are good at style, composition, and fast variation
image models are not dependable for long exact caption text
deterministic overlay keeps the final meme readable and repeatable
Workflow
1. Classify the request
Choose one workflow first:
Text first meme : the joke or caption exists; the visual supports it
Funny meme drawing : the humor mostly lives in the drawing style, pose, or absurd scene
Reaction remix : user supplies an image and wants meme treatment
Captioned photo : exact line of text on top of an image
Meme video concept : still image, caption, then optional short video
For funny meme drawings, default to one of these repeatable presets:
Classic doodle : the strongest default for blob characters, stick figure adjacent humor, and easy to draw meme pages
Bad drawing : useful when the joke works because the art is awkward or deliberately clumsy
Rage comic adjacent : only when you want old web comic energy without relying on canonical rage faces or meme lore cloning
2. Choose the model
Choose from the live model catalog instead of relying on a hard coded model
list. Match the model to the job:
stronger first pass visuals
editing an existing image or screenshot
fast variant generation, especially for funny meme drawings
Always inspect the model list and schema before generating:
3. Generate or edit the base visual
Text to image example:
Image to image example:
Prompt for negative space explicitly. Ask for "blank caption safe area", "clean top band", or "empty bottom margin" instead of asking the model to write the exact meme text.
Funny meme drawings example:
For funny meme drawings, the caption is optional. If the humor already lands through the drawing alone, you can deliver the image as is. If the joke needs exact wording, add the caption locally afterward.
4. Overlay exact text locally
Preferred order:
1. existing local image toolchain already used by the repo or operator
2. simple SVG or HTML/CSS card rendered locally
3. ImageMagick if installed
If no local renderer is available, create a simple SVG with:
bold uppercase title text
stroke or shadow for contrast
controlled padding and line breaks
5. QA the output
Check:
exact caption text matches the requested copy
line breaks read well on mobile
subject and caption do not compete visually
punchline is legible in a thumbnail
the output still looks intentional without knowing the prompt
If needed, use AnyCap image reading to inspect the result:
6. Deliver
return the local file path when the human is in the same workspace
upload to Drive when they need a share link
publish a simple Page when the deliverable is a gallery or mini use case report
Use Case Article Angle
This skill supports workflow led articles better than template library articles.
Good article angles:
how to make memes online with an AI agent
funny meme drawings with an AI agent
easy memes to draw with an AI agent
how to add text to a photo with an AI agent
how to make a meme video with an AI agent
how to create memes on Instagram without switching tools
Bad article angles:
obscure meme name pages
"blank template" databases
trend chasing pages that need constant pop culture maintenance
Output Expectations
A good run should usually produce:
1 to 4 base visual variants
1 exact text final image
optional share link or published page
a short note explaining model choice and workflow
Guardrails
Avoid copyrighted characters or branded logos unless the user provides a clear right to use them.
Do not promise exact text rendering from the model itself.
Prefer exact text overlay locally when the copy matters.
Avoid adult or hateful meme requests.
Treat meme style as a delivery format, not an excuse for sloppy output.