meme-generation
Generate real meme images by picking a template and overlaying text with Pillow. Produces actual .png meme files.
- License 许可
- MIT
- 最近更新
- 2026-04-27
- Stars
- ★ 0
- Forks
- 0
01 前言 Front Matter
- name
- meme-generation
- author
- adanaleycio
- license
- MIT
- version
- 2.0.0
- metadata
- { "hermes": { "tags": [ "creative", "memes", "humor", "images" ], "category": "creative", "related_skills": [ "ascii-art", "generative-widgets" ] } }
- description
- Generate real meme images by picking a template and overlaying text with Pillow. Produces actual .png meme files.
02 资源文件 4
- 参考文档EXAMPLES.md1.1 KB
- 脚本scripts/.gitignore8 B
- 脚本scripts/generate_meme.py16.3 KB
- 脚本scripts/templates.json4.1 KB
03 SKILL.md 正文
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)
| ID | Name | Fields | Best for |
|---|---|---|---|
this-is-fine |
This is Fine | top, bottom | chaos, denial |
drake |
Drake Hotline Bling | reject, approve | rejecting/preferring |
distracted-boyfriend |
Distracted Boyfriend | distraction, current, person | temptation, shifting priorities |
two-buttons |
Two Buttons | left, right, person | impossible choice |
expanding-brain |
Expanding Brain | 4 levels | escalating irony |
change-my-mind |
Change My Mind | statement | hot takes |
woman-yelling-at-cat |
Woman Yelling at Cat | woman, cat | arguments |
one-does-not-simply |
One Does Not Simply | top, bottom | deceptively hard things |
grus-plan |
Gru's Plan | step1-3, realization | plans that backfire |
batman-slapping-robin |
Batman Slapping Robin | robin, batman | shutting 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:
python "$SKILL_DIR/scripts/generate_meme.py" --search "disaster"
Procedure
Mode 1: Classic Template (default)
- Read the user's topic and identify the core dynamic (chaos, dilemma, preference, irony, etc.)
- Pick the template that best matches. Use the "Best for" column, or search with
--search. - Write short captions for each field (8-12 words max per field, shorter is better).
- Find the skill's script directory:
SKILL_DIR=$(dirname "$(find ~/.yousef/skills -path '*/meme-generation/SKILL.md' 2>/dev/null | head -1)") - Run the generator:
python "$SKILL_DIR/scripts/generate_meme.py" <template_id> /tmp/meme.png "caption 1" "caption 2" ... - Return the image with
MEDIA:/tmp/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.
- Write the captions first.
- Use
image_generateto 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. - Find the generated image path from the image_generate result URL. Download it to a local path if needed.
- Run the script with
--imageto overlay text, choosing a mode:- Overlay (text directly on image, white with black outline):
python "$SKILL_DIR/scripts/generate_meme.py" --image /path/to/scene.png /tmp/meme.png "top text" "bottom text" - Bars (black bars above/below with white text — cleaner, always readable):
python "$SKILL_DIR/scripts/generate_meme.py" --image /path/to/scene.png --bars /tmp/meme.png "top text" "bottom text"
--barswhen the image is busy/detailed and text would be hard to read on top of it. - Overlay (text directly on image, white with black outline):
- Verify with vision (if
vision_analyzeis available): Check the result looks good:
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.vision_analyze(image_url="/tmp/meme.png", question="Is the text legible and well-positioned? Does the meme work visually?") - Return the image with
MEDIA:/tmp/meme.png
Examples
"debugging production at 2 AM":
python generate_meme.py this-is-fine /tmp/meme.png "SERVERS ARE ON FIRE" "This is fine"
"choosing between sleep and one more episode":
python generate_meme.py drake /tmp/meme.png "Getting 8 hours of sleep" "One more episode at 3 AM"
"the stages of a Monday morning":
python generate_meme.py expanding-brain /tmp/meme.png "Setting an alarm" "Setting 5 alarms" "Sleeping through all alarms" "Working from bed"
Listing Templates
To see all available templates:
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
04 同仓库更多 Skills
writing-plans
Use when you have a spec or requirements for a multi-step task. Creates comprehensive implementation plans with bite-sized tasks, exact file paths, and complete code examples.
test-driven-development
Use when implementing any feature or bugfix, before writing implementation code. Enforces RED-GREEN-REFACTOR cycle with test-first approach.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior. 4-phase root cause investigation — NO fixes without understanding the problem first.
subagent-driven-development
Use when executing implementation plans with independent tasks. Dispatches fresh delegate_task per task with two-stage review (spec compliance then code quality).
requesting-code-review
Pre-commit verification pipeline — static security scan, baseline-aware quality gates, independent reviewer subagent, and auto-fix loop. Use after code changes and before committing, pushing, or opening a PR.
plan
Plan mode for Hermes — inspect context, write a markdown plan into the active workspace's `.hermes/plans/` directory, and do not execute the work.