gemini-claude-resonance
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".
npx skills add majiayu000/claude-skill-registry --skill gemini-claude-resonance-tdimino-claude-code-minoan --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 w
- Models
- Choose Your Tool
- Workflow A: Multi-Image Style Analysis
- Workflow B: One-on-One Visual Dialogue (resonate.py)
- Workflow B: Faithful Transform (Describe-First Technique)
- Workflow C: Multi-Daimon Dialogue
- Workflow D: Resonance Field (Danielle Fong Protocol)
- Workflow E: Cross-Model Council
- Workflow F: Minoan Tarot Generation
- Workflow G: Interactive Chat (Daimon Chamber)
- Core Concepts
- Visual Memory (KV Cache)
- Dynamic Verb Protocol
- Environment Variables
Analyze reference images for style extraction python scripts/analyze.py --images ref1.jpg ref2.png ref3.webp \ Analyze for specific use case (avatar generation) python scripts/analyze.py --images kathor.webp samantha.jpg yosef.png \ 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
What does the gemini-claude-resonance skill do?
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".
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill gemini-claude-resonance-tdimino-claude-code-minoan --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.