by harshilmathur · Claude Skill · ★ 78
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autodecision A decision operating system for high-stakes choices. Business, strategy, career. Simulates disagreement, stress-tests assumptions, and converges on what actually holds up. Applies Karpathy's autoresearch + LLM Council patterns to decisions. Quick Start · How It Works · Examples · Commands · Roadmap Static preview of the full possibility map for one decision: 5 hypotheses, 110 effects, worst cases, black swans. Interactive viewer in development. Why decisions fail Most bad decisions don't look bad upfront. They fail later, in second-order effects, edge cases, and under stress. People routinely: Think in first-order effects only ("cut prices, sales go up") Ignore second-order effects ("…and then competitors match, margins compress, existing customers renegotiate, NRR drops") Underestimate worst-cas
| Stars | 78 |
| Forks | 7 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 63.3729153780622/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-06 |
| Created | 2026-04-14 |
| Platforms | claude-code, python |
| Est. Tokens | ~1278k |
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autodecision is A decision operating system for high-stakes choices — business, strategy, career. Simulates disagreement, stress-tests assumptions, and converges on what actually holds up. Claude Code skill inspired . It is categorized as a Claude Skill with 78 GitHub stars.
autodecision is primarily written in Python.
You can find installation instructions and usage details in the autodecision GitHub repository at github.com/harshilmathur/autodecision. The project has 78 stars and 7 forks, indicating an active community.
autodecision is released under the MIT license, making it free to use and modify according to the license terms.
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