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State algorithmic bounds clearly in ChatGPT for SODA

Put the main bound, model, input restrictions and prior result together, and check the prose against the proven scope.

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Install in ChatGPT

A ChatGPT workspace with skill creation enabled. Paste the fictional material below as text.

  1. In a ChatGPT workspace with skill creation enabled, open Plugins → Skills → Create → Create with editor.
  2. Create a skill in the editor and adapt the text-only `soda-writing-style` workflow from the pinned GitHub source into its instructions.
  3. Save the skill, then type @ in a new chat to select it and try the example.

Example task

Rewrite the abstract bound using these fictional Ash interval indexing results.
paper="Ash interval indexing"; problem="bounded interval insertion only"; model="comparison model"; assumedBound="O(log n) per insertion"; priorBound="O(log^2 n) per insertion"; proof="deterministic worst case"; reference="[B]"; restriction="static endpoints"

What to check

Write `O(log n) per insertion; comparison model; static endpoints; deterministic worst case`. Compare it with [B]'s `O(log^2 n)` under the same conditions. Keep the claim scoped to insertion.

Original SKILL.md on GitHub · Updated

Frequently asked question

How can ChatGPT check the conditions on a SODA algorithmic bound?

Identify the model, input restrictions and worst-case guarantee before comparing the prior bound under like conditions. Include the restrictions and citation with the stated result.