Cole Medin Releases Build-Signal-Engine Skill

The compelling idea is treating attention as a systems problem: encode your own definition of “worth knowing” instead of asking an LLM to summarize an endless feed.

• –Keeps dates, engagement, and seen-state in code before spending model tokens.
• –Routes only surviving items to an LLM for deeper reading and synthesis.
• –Builds incrementally from one source, making real runs and deduplication measurable.
• –Supports changelogs, communities, feeds, videos, and papers without locking users to one model or provider.
• –Its effectiveness depends on the quality of the user’s decision questions and source selection.