This skill enables cross-model dialogue between Claude and Gemini with shared visual memory. Use when the user wants to generate images, have visual dialogues with AI, create scientific illustrations with continuity, or have multiple AI perspectives respond to the same prompt. Key trigger phrases: "generate an image", "visual dialogue", "ask the daimones", "resonance field", "Minoan tarot", "cross-model", "KV cache", "MESSAGE TO NEXT FRAME".
This skill enables cross-model dialogue between Claude and Gemini with shared visual memory. Use when the user wants to generate images, have visual dialogues with AI, create scientific illustrations with continuity, or have multiple AI perspectives respond to the same prompt. Key trigger phrases: "generate an image", "visual dialogue", "ask the daimones", "resonance field", "Minoan tarot", "cross-model", "KV cache", "MESSAGE TO NEXT FRAME".
Gemini-Claude Resonance
Cross-model dialogue between Claude and Gemini, with shared visual memory.
"Claude speaks in words. Gemini dreams in light. Together, we resonate."
Models
Role
Model ID
Notes
Image generation (default)
gemini-3-pro-image-preview
Pro quality, used by resonate/faithful_colorize
Image generation (fast)
gemini-3.1-flash-image-preview
Faster/cheaper, use --fast flag
Text analysis
gemini-3-flash-preview
Used by faithful_colorize for description
Text reasoning
gemini-3.1-pro-preview
Used by Pro and Director daimones
Claude
claude-3-opus-20240229
Opus daimon
Scripts that generate images (resonate.py, faithful_colorize.py) accept --fast to switch to the flash image model, or --model <id> for explicit override.
Choose Your Tool
I want to...
Use
Analyze multiple images for style extraction (no generation)
analyze.py
Have a one-on-one visual dialogue with Gemini Dreamer
resonate.py
Query multiple AI minds with optional image generation
daimon.py
Faithfully colorize a drawing without hallucinations
faithful_colorize.py
Create Victorian scientific plates with MESSAGE TO NEXT FRAME
resonance_field.py
Have Claude reflect on what Gemini daimones say
council.py
Generate Minoan Tarot cards with style matching
minoan_tarot.py
Real-time interactive chat with all daimones
ui/server.py
Workflow A: Multi-Image Style Analysis
When to use: User wants to analyze 2-10 reference images to extract style descriptions for AI prompting. Text-only analysis without generating new images.
Script: scripts/analyze.py
Key features:
Send multiple images (2-10) for collective analysis
Text-only output (no image generation)
Flash (quick) or Pro (thorough) model options
Save analysis to markdown file
# Analyze reference images for style extraction
python scripts/analyze.py --images ref1.jpg ref2.png ref3.webp \
--prompt "Describe the shared artistic style for AI prompting"# Analyze for specific use case (avatar generation)
python scripts/analyze.py --images kathor.webp samantha.jpg yosef.png \
--prompt "Analyze for prompting fantasy portraits of: Sarah (anxious mother), Michael (father), Priya (cultural expectations)"# Quick analysis with Flash
python scripts/analyze.py --images *.jpg --model flash --prompt "Style summary"# Thorough analysis with Pro
python scripts/analyze.py --images *.jpg --model pro --prompt "Comprehensive style analysis"# Save analysis to file
python scripts/analyze.py --images ref/*.jpg --prompt "Style guide" --output style_guide.md
Use cases:
Extract style descriptions from reference images before generating new images
Analyze a set of images to create consistent prompting guidelines
Document visual language for style-matching workflows
When to use: User wants to co-create images with Gemini, feeding each image back as context for the next generation. Pure visual exploration without text-only models.
Script: scripts/resonate.py
Core concept: The KV cache is the memory. Feed images into Gemini's context, generate new images based on them, repeat. Each frame builds on the previous.
# Start fresh
python scripts/resonate.py --prompt "The first light" --output canvas/frame_001.jpg
# Continue with visual memory (previous image as context)
python scripts/resonate.py --context canvas/frame_001.jpg --prompt "What grows here?" --output canvas/frame_002.jpg
# Deep memory (multiple frames as context)
python scripts/resonate.py --context frame_001.jpg frame_002.jpg --prompt "Now the harvest" --output frame_003.jpg
The loop: Prompt → Image → Feed back as context → Prompt again → Next image
When to use: User wants to colorize, restore, or transform an image WITHOUT hallucinations. Gemini Dreamer often replaces elements (e.g., turning a male votary into female attendants). This two-step technique prevents that.
Script: scripts/faithful_colorize.py
The Problem: Directly prompting Dreamer to transform images causes hallucinations - it invents, removes, or swaps elements rather than faithfully preserving the original.
The Solution:
DESCRIBE: Gemini Pro analyzes the image with archaeological/artistic precision
TRANSFORM: Gemini Dreamer transforms using ONLY the verified description
Commands:
Command
Purpose
describe
Analyze image, output detailed description (no generation)
prompt
Craft a Dreamer prompt based on image analysis
colorize
Two-step faithful colorization
transform
General two-step transformation
# Just describe an image (analysis only)
python scripts/faithful_colorize.py describe --image seal.png
python scripts/faithful_colorize.py describe --image seal.png --output desc.md
# Describe with a specific goal in mind
python scripts/faithful_colorize.py describe --image fresco.jpg --goal "restoration to 1600 BCE"# Craft a prompt for Dreamer (outputs text, doesn't generate)
python scripts/faithful_colorize.py prompt --image seal.png --goal "colorize in Egyptian style"
python scripts/faithful_colorize.py prompt --image relief.webp --goal "restore as Minoan fresco"# Two-step faithful colorization
python scripts/faithful_colorize.py colorize --image drawing.png
python scripts/faithful_colorize.py colorize --image relief.webp --style "Minoan fresco with flat colors"
python scripts/faithful_colorize.py colorize --image seal.png --palette "ochre, terracotta, sky blue"# General transformation
python scripts/faithful_colorize.py transform --image photo.jpg --instruction "Convert to woodcut print"
python scripts/faithful_colorize.py transform --image sketch.png --instruction "Render as oil painting"# Save/reuse descriptions
python scripts/faithful_colorize.py colorize --image seal.png --save-description desc.md -v
python scripts/faithful_colorize.py colorize --image seal.png --description "$(cat desc.md)"
When to use each command:
describe: When you want to see what Pro identifies before any transformation
prompt: When you want a crafted prompt to modify before feeding to Dreamer manually
colorize: For line drawings, reliefs, B&W images → color
transform: For any other faithful transformation (style transfer, restoration, etc.)
Workflow C: Multi-Daimon Dialogue
When to use: User wants multiple AI perspectives on the same prompt. Flash gives koans, Pro gives depth, Dreamer renders, Opus bends reality.
Script: scripts/daimon.py
Daimones available:
Flash (Gemini) — Swift, compressed insight
Pro (Gemini) — Deep, thorough exploration
Dreamer (Gemini) — Renders images
Director (Gemini) — Cinematic framing
Opus (Claude) — Reality-bender, worldsim spirit
# Speak to one daimon
python scripts/daimon.py --to dreamer "A bridge between worlds" --image
# All daimones respond
python scripts/daimon.py --stream "The candle watches back"# With shared visual memory
python scripts/daimon.py --stream --shared-memory "What do you see?"# Only specific daimones
python scripts/daimon.py --stream --only pro dreamer "Deep visual exploration"# Named session (frames accumulate across runs)
python scripts/daimon.py --stream --session midnight --shared-memory "Go deeper"
Workflow D: Resonance Field (Danielle Fong Protocol)
When to use: User wants scientific illustrations with embedded continuity instructions. Victorian aesthetic, Roman numeral plates, explicit messages from one frame to the next.
Script: scripts/resonance_field.py
Key features:
PLATE numbering (I, II, III, IV...)
MESSAGE TO NEXT FRAME embedded in each image
KV cache age and session ID metadata
Victorian scientific illustration aesthetic
# Start a new session
python scripts/resonance_field.py start "consciousness-study""The nature of memory"# Continue (auto-increments plate number)
python scripts/resonance_field.py continue <session-id> "What patterns emerge?"# Select element, then zoom
python scripts/resonance_field.py select <session-id> "golden gate bridge"
python scripts/resonance_field.py zoom <session-id> "Explore the cables"# Inject new concept
python scripts/resonance_field.py inject <session-id> "consciousness"# List all sessions
python scripts/resonance_field.py list
Workflow E: Cross-Model Council
When to use: User wants Claude to reflect on and synthesize what the Gemini daimones have said. Cross-model dialogue where Claude joins as an equal voice.
Script: scripts/council.py
Requires: ANTHROPIC_API_KEY
# Full council (all daimones + Claude reflection)
python scripts/council.py "What is consciousness?"# Only Pro and Dreamer with shared memory
python scripts/council.py --only pro dreamer --shared-memory "Deep exploration"# Named session
python scripts/council.py --session midnight --shared-memory "The first vision"
python scripts/council.py --session midnight --shared-memory "Now go deeper"# Save transcript
python scripts/council.py "topic" --output council_session.md
Workflow F: Minoan Tarot Generation
When to use: User wants tarot cards in Ellen Lorenzi-Prince's Minoan Tarot style. Uses reference images for style matching.
Script: scripts/minoan_tarot.py
Key features:
Reference images loaded from reference/minoan/selected/
Low temperature (0.5) for faithful style matching
3:4 aspect ratio (standard tarot proportions)
Session support with visual memory of previous cards
Reproducing specific reference cards with per-card forensic prompts
Classic
--style classic
Jan 5 original
Vivid saturated (sky blue, vivid red, golden yellow, dark blue borders)
Creative/freeform card generation, the look of the original deck
The forensic style pairs each known card with a structured [Subject/Action/Location/Composition/Lighting/Style] prompt analyzed from the reference images. The classic style uses the original personality-driven prompt ("You are creating a tarot card in the exact style of Ellen Lorenzi-Prince's Minoan Tarot deck...") without per-card overrides.
# Generate a specific card (forensic style, default)
python scripts/minoan_tarot.py card "The Priestess" --number II
# Generate with the original Jan 5 vivid palette
python scripts/minoan_tarot.py card "The Priestess" --number II --style classic
# Generate from archetype
python scripts/minoan_tarot.py archetype strength
python scripts/minoan_tarot.py archetype strength --style classic
# Continue a session (visual memory of previous cards)
python scripts/minoan_tarot.py session "new-arcana" --card "The Dreamer"# Generate card back design (both styles supported)
python scripts/minoan_tarot.py back
python scripts/minoan_tarot.py back --style classic
# List all 78 traditional cards
python scripts/minoan_tarot.py list
"Sekhinat Daborat" — Ba'alat Tinit
Workflow G: Interactive Chat (Daimon Chamber)
When to use: User wants a real-time, browser-based conversation with all daimones. Toggle individual voices, see images inline, shared memory toggle.
