AI engineering glossary · Prompt context engineering
What is Skeleton-of-Thought?
Skeleton-of-Thought: A technique where the model first writes a short outline of its answer, then expands each outline point, often in parallel calls. The main aim is faster responses by expanding points at the same time, and sometimes clearer structure.
Skeleton-of-Thought: an example
An outline of five bullet points on 'benefits of UPI' is produced, then five calls expand each bullet at once.
Related terms
More Prompt context engineering terms
- Sliding window history
- Stateless API
- Step-back prompting
- Stop sequence
- Structured extraction
- Structured output
- System prompt
- Task decomposition
Where you learn it
Skeleton-of-Thought is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.