Fusion-Fable is a Claude Code skill designed to significantly enhance the quality and reliability of AI-generated answers by employing a novel multi-model synthesis pipeline. It targets power users and researchers who require deeply analyzed, robust responses, fusing the capabilities of frontier models like Opus 4.8, GPT-5.5, and Gemini 3.1 Pro into a single, superior "Fable-tier" output. The primary benefit is mitigating the risk of confidently incorrect answers by leveraging diverse model reasoning and cross-validation.

How It Works

The core innovation lies in its "independence, then synthesis" approach. A user's prompt is simultaneously dispatched to multiple AI models (panelists), each operating independently with access to tools like web search and bash, without knowledge of the others' outputs. Subsequently, a designated judge model (always Opus 4.8) analyzes these diverse, independent answers. It identifies consensus, contradictions, partial coverage, unique insights, and blind spots, ultimately synthesizing this structured analysis into a final, grounded answer. This mechanism harnesses the inherent divergence in model reasoning paths to produce a result superior to any single model's output.

Quick Start & Requirements

Installation involves cloning the repository (git clone https://github.com/duolahypercho/fusion-fable.git) and executing the provided ./install.sh script within the cloned directory. This script copies the skill and slash commands to the user's Claude Code environment.

• Primary Requirement: Claude Code, with the session running Opus 4.8.
• Optional Prerequisites:
  • codex CLI installed and authenticated for GPT-5.5 access (for the opus4.8-gpt5.5 panel).
  • gemini CLI installed and authenticated for Gemini 3.1 Pro access (for the opus4.8-gpt5.5-gemini3.1pro panel).
• Usage: Can be invoked via natural language prompts, or specific pinned slash commands like /fusion-opus4.8 or /fusion-gpt5.5.
• Post-install: Restart Claude Code or run /reload-skills. The script indicates which panels are runnable based on installed CLIs.

Highlighted Details

• Supports multiple fusion panels: opus4.8-4.8 (zero-setup), opus4.8-gpt5.5 (requires codex), and opus4.8-gpt5.5-gemini3.1pro (requires codex and gemini).
• Leverages independent parallel runs, a mechanism validated by the DRACO benchmark to improve answer quality through synthesis, even with multiple instances of the same model.
• Outputs a structured analysis detailing consensus, contradictions, partial coverage, unique insights, and blind spots, with each point attributed to its source panelist.

Maintenance & Community

No specific details regarding maintainers, community channels (like Discord/Slack), or roadmaps were provided in the README.

Licensing & Compatibility

The project is released under the MIT License. This license generally permits commercial use, modification, and distribution, with minimal restrictions beyond attribution.

Limitations & Caveats

The full capabilities, particularly the opus4.8-gpt5.5 and opus4.8-gpt5.5-gemini3.1pro panels, are dependent on the successful installation and authentication of external CLIs (codex, gemini). Fusion incurs increased token costs and latency, proportional to the number of models in the chosen panel, making it best suited for high-stakes queries where accuracy outweighs speed.