1password
FreeSet up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
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Generate real meme images by picking a template and overlaying text with Pillow. Produces actual .png meme files.
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See how to installReview the instructions the agent will receive before you install.
Generate actual meme images from a topic. Picks a template, writes captions, and renders a real .png file with text overlay.
The script supports any of the ~100 popular imgflip templates by name or ID, plus 10 curated templates with hand-tuned text positioning.
| 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 |
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 "$SKILL_DIR/scripts/generate_meme.py" --search "disaster"
--search.SKILL_DIR=$(dirname "$(find ~/.hermes/skills -path '*/meme-generation/SKILL.md' 2>/dev/null | head -1)")
python "$SKILL_DIR/scripts/generate_meme.py" <template_id> /tmp/meme.png "caption 1" "caption 2" ...
MEDIA:/tmp/meme.pngUse this when no classic template fits, or when the user wants something original.
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.--image to overlay text, choosing a mode:
python "$SKILL_DIR/scripts/generate_meme.py" --image /path/to/scene.png /tmp/meme.png "top text" "bottom text"
python "$SKILL_DIR/scripts/generate_meme.py" --image /path/to/scene.png --bars /tmp/meme.png "top text" "bottom text"
--bars when the image is busy/detailed and text would be hard to read on top of it.vision_analyze is available): Check the result looks good:
vision_analyze(image_url="/tmp/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.MEDIA:/tmp/meme.png"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"
To see all available templates:
python generate_meme.py --list
scripts/.cache/ after first download.The output is correct if:
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Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
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Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".
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Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.
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Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
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Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
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Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
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