
What If Oracle
When you're facing a fork-in-the-road decision or someone asks "what if we do X?", this gives you structured scenario analysis across 4-6 branches: best case, likely case, worst case, wild card, contrarian, and second-order effects. Each branch gets probability estimates, trigger conditions, and specific response actions. It's built on research around what-if thinking as a computational operation (published DOIs included) and uses golden ratio weighting (61.8/38.2) for resource allocation between primary and alternative futures. The output format is very structured, almost ritualistic, which either helps you think clearly or feels like overkill depending on the stakes. Best for strategic planning, contingency prep, or stress-testing ideas before you commit resources.
- skills.sh installs
- 2.1K
- GitHub stars
- 56.6K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add k-dense-ai/scientific-agent-skills --skill what-if-oracle --agent claude-codeInstalls into .claude/skills of the current project.
Files
What-If Oracle — Research Scenario Planning
Explore a bounded set of possible futures before committing research resources. The output is a scenario comparison, an evidence ledger, and a contingency plan. It does not cover the full possibility space or establish that a narrated mechanism will occur.
The six branch prompts and 0·IF·1 mnemonic come from the upstream What-If framework. Treat the mnemonic as a framing aid: a potential change (0), a stated condition (IF), and a resulting scenario (1). It is not a scientific law or a computational model.
The author's What-If Paradigm and Unified Theory of Digital Consciousness are catalogued by Zenodo as preprints. Their deposit and DOI establish provenance, not forecasting accuracy or empirical validation of this workflow.
When to use
Use for questions such as:
Sponsors
Details
- Repository
- github.com/k-dense-ai/scientific-agent-skills
- Categories
- Testing & QA, Git & Pull Requests, AI & Agent Building, Productivity & Planning, Finance & Trading
- First seen
- Jun 3, 2026