Skills / Ai Answer Synthesizer
Ai Answer Synthesizer
Stop reading 5 AI answers. Get one clear recommendation. A Claude Skill for intelligent multi-model response synthesis.
Installation
Compatibility
Description
The Problem
You ask the same question to ChatGPT, Claude, Gemini, Copilot, and Perplexity. You get five long responses. Now you're more confused than before.
The AI Answer Synthesizer solves this. Paste multiple AI responses into Claude and get back:
- One clear recommendation (not five summaries)
- Confidence scoring (how much the AIs actually agree)
- Real disagreement detection (not just vocabulary differences)
- An action plan matched to your skill level
- A list of what to ignore (so you don't drown in options)
This is not a summarizer. It's an adjudicator.
How It Works
The skill uses a 6-step analytical methodology that goes beyond summarization:
┌─────────────────────────────────────────────────────┐
│ │
│ 1. EXTRACT CLAIMS → Break each response into │
│ discrete, testable claims │
│ │
│ 2. MAP CONSENSUS → Which claims do multiple │
│ AIs actually agree on? │
│ │
│ 3. COLLAPSE ALIASES → "MVP" and "prototype" │
│ mean the same thing │
│ │
│ 4. DETECT CONFLICTS → Where do they ACTUALLY │
│ disagree, not just differ? │
│ │
│ 5. ASSESS FIT → Match complexity to the │
│ user's real skill level │
│ │
│ 6. SYNTHESIZE → One recommended path with │
│ honest confidence level │
│ │
└─────────────────────────────────────────────────────┘
Key Safeguards
| Safeguard | What It Prevents | |-----------|-----------------| | Anti-Consensus Bias | Majority vote burying a better minority answer | | Hallucination Cascade Detection | LLM summarizing LLM errors and amplifying them | | Lone Claim Flagging | One AI's unsupported claim slipping in as fact | | Complexity Filter | The most advanced answer winning over the most useful one |
Installation
Claude.ai (Recommended)
- Go to claude.ai → Settings → Skills
- Click Create Skill
- Copy the contents of
skills/ai-answer-synthesizer/SKILL.md - Paste into the skill instructions
- Save
Claude Code
# Clone and install
git clone https://github.com/knightkar/Ai-Answer-Synthesizer.git
cd ai-answer-synthesizer
# The skill file is at:
# skills/ai-answer-synthesizer/SKILL.md
Usage
Quick Mode — Just give me the answer
I asked ChatGPT and Gemini the same question. Here are their responses:
[paste responses]
Give me a quick synthesis.
Output: 2-4 sentence answer + confidence level + one next step.
Deep Mode — Help me understand
I asked 3 AIs how to deploy a web app. Here are all their responses:
ChatGPT said: [paste]
Gemini said: [paste]
Copilot said: [paste]
Synthesize these and tell me the best path for a beginner.
Output: Full structured analysis with consensus map, disagreement detection, recommended path, and ignore list.
Examples
You: "ChatGPT says use React, Claude says use plain HTML, Gemini says use Next.js. I just want to build a simple landing page."
Synthesizer output:
The Short Answer: Use plain HTML and CSS. For a simple landing page, a framework adds complexity you don't need yet.
Confidence: High — two of three responses support starting simple, and the React/Next.js suggestions assume you need features you haven't mentioned.
What They Agree On:
- You need a landing page, not a web app
- Start simple, scale later
- Good design matters more than the framework
Where They Actually Disagree: The "disagreement" is really about scale. React and Next.js are for when you need interactivity and routing. A landing page doesn't need either. This isn't a real conflict — it's different assumptions about what you're building.
Recommended Path:
- Create an
index.htmlfile- Add your content and basic CSS
- Deploy free on GitHub Pages or Netlify
- Only add a framework if you need dynamic features later
You: "I feel overwhelmed by these AI answers. Please simplify and tell me only what matters."
Synthesizer output (Quick Mode):
The answer: All three AIs are telling you the same thing in different words: start with the smallest version that proves your idea works. Don't build the full system yet.
Confidence: High — complete consensus on the core recommendation.
Do this next: Write down your idea in one sentence, then build only the piece that tests whether anyone actually wants it.
You: "Perplexity and Claude gave me different investment strategies. Which should I follow?"
Synthesizer output:
The Short Answer: Both suggest diversification but differ on allocation. With only two sources and a financial decision, treat this as a starting point for research, not a final answer.
Confidence: Medium — two sources with partial agreement, but financial advice requires more context than either AI had.
See examples/sample-prompts.md for more test scenarios.
Repository Structure
ai-answer-synthesizer/
├── README.md # You are here
├── LICENSE # MIT License
├── CONTRIBUTING.md # How to contribute
├── .gitignore # Git ignore rules
├── skills/
│ └── ai-answer-synthesizer/
│ └── SKILL.md # The skill (install this)
├── examples/
│ └── sample-prompts.md # Test prompts to try
└── assets/
└── banner.png # Repo banner image
Status
This project is actively maintained and in use. Current priorities:
- [x] Core synthesis methodology (6-step analysis)
- [x] Quick Mode and Deep Mode
- [x] Anti-consensus bias safeguards
- [x] Hallucination cascade detection
- [x] Lone claim risk flagging
- [ ] Test on 20+ real-world multi-AI comparisons
- [ ] Community-contributed edge cases
- [ ] Browser-based input tool (v2)
Roadmap
| Phase | Focus | Status | |-------|-------|--------| | v1.0 | Core Claude Skill with full methodology | ✅ Complete | | v1.1 | Community testing and edge case refinement | 🔄 In Progress | | v2.0 | Browser-based input collector (paste UI) | 📋 Planned | | v3.0 | Browser extension for one-click collection | 💡 Exploring |
Design Principles
- Adjudicate, don't summarize — Produce verdicts, not book reports
- Simplicity over sophistication — The most useful answer beats the most impressive one
- Honest confidence — Say when you're uncertain instead of hedging with filler
- One path when possible — Recommend, don't fence-sit
- Complexity is not quality — The longest answer is rarely the best answer
- Consensus is a signal, not a verdict — A well-reasoned minority view can beat a generic majority
Contributing
Contributions are welcome. The most impactful contributions right now:
- Real-world test cases — paste actual multi-AI comparisons and share how the skill performed
- Edge cases — scenarios where the synthesis logic breaks down
- SKILL.md improvements — sharper methodology, better phrasing
- Documentation — clearer README, better examples
See CONTRIBUTING.md for guidelines.
License
MIT — Use it, fork it, improve it, ship it.
Acknowledgments
Built by synthesizing insights from ChatGPT, Claude, Gemini, Copilot, and Perplexity — which is exactly the kind of problem this skill was made to solve.
Inspired by the growing need for AI adjudication as multi-model workflows become the norm. Special thanks to the Claude Skills ecosystem and the open-source community for the patterns that shaped this project.
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