Revise SIGCOMM performance claims in ChatGPT
Lead with measured operational cost, the design principle, and tail latency evidence under a clear comparison condition.
中文Install in ChatGPT
A ChatGPT workspace with skill creation enabled. Paste the fictional material below as text.
- In a ChatGPT workspace with skill creation enabled, open Plugins → Skills → Create → Create with editor.
- Create a skill in the editor and adapt the text-only `sigcomm-writing-style` workflow from the pinned GitHub source into its instructions.
- Save the skill, then type @ in a new chat to select it and try the example.
Example task
Revise the paper opening using these fictional Fjord queue measurements.
study="Fjord queue scheduling"; baselineP99ms=40; candidateP99ms=28; fixedThroughputGbps=10; load="burst trace A"; evidence="Figure 3 testbed"; runs=8; principle="separate short queues when backlog rises"What to check
State `P99=40→28 ms; throughput=10 Gbps; runs=8` and cite Figure 3's testbed evidence. Name trace A and explain the principle of separating short queues when backlog rises.
Original SKILL.md on GitHub · Updated
Frequently asked question
How can ChatGPT check tail latency claims in a SIGCOMM draft?
Put the percentile beside the comparison at matched throughput. Check the workload, trial conditions, figure reference, and design principle.