multi-model-triangulation
CommunityCross-check decisions with multiple AI models.
Software Engineering#architecture#synthesis#prompts#decision-support#multimodel#triangulation#model-strengths
AuthorDunc4nJ
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Different model perspectives can miss or bias decisions. This Skill helps you cross-validate decisions by generating prompts, collecting model responses, and synthesizing a unified recommendation.
Core Features & Use Cases
- Prompt generation for Codex, Gemini, Grok, and other models to produce actionable outputs.
- Structured synthesis that highlights consensus and divergence across models.
- Decision support for high-stakes choices, architecture reviews, code reviews, and security assessments.
- Reference-ready prompts and integration templates to reuse across projects.
Quick Start
Tell me what you want triangulated, I will generate the prompts for your chosen models and you paste back their responses for synthesis.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: multi-model-triangulation Download link: https://github.com/Dunc4nJ/agent-skills/archive/main.zip#multi-model-triangulation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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