scrub-experiment-issue-tldrs

Automate GitHub issue summarization by running a script that identifies experiment issues with weak or missing TL;DR blocks and updates them with concise summaries and helpful links. This ensures experiment tracking issues remain accessible to newcomers.

Maintain newcomer-friendly documentation by scanning open and closed experiment issues to add or update TL;DR blocks. This clarifies setup, investigation, and conclusions, making past research efforts discoverable for technically strong newcomers.

TL;DR block automation works by reviewing GitHub issues, identifying those with stale or missing summaries, and adding concise documentation with relevant links. This keeps experiment issues understandable without requiring manual editing of every issue.

Yes, this tool specifically targets the marin-community/marin repository. It reviews experiment issues within that repository, prioritizing those with weak, stale, or missing summaries to update them with concise TL;DR blocks and helpful links.

Yes, the tool regularly reviews both closed and open experiment issues to add or update TL;DR blocks. This makes historical research efforts and conclusions understandable to users unfamiliar with the project's past experiments.

Experiment issues need TL;DR blocks because past research efforts often lack clear summaries, making them inaccessible to newcomers. Adding concise summaries and links clarifies setup and conclusions, ensuring technically strong newcomers can understand the investigation.