Condenses prior LLM outputs or conversations into bullets, a paragraph, or a topic filter.
npx skills add https://github.com/tyevans/tackline --skill distill-tyevans
Please help me install this Agent Skill. Skill: distill Source: https://github.com/tyevans/tackline/tree/main/skills/core/distill Command: npx skills add https://github.com/tyevans/tackline --skill distill-tyevans
This Skill tackles information overload by reducing lengthy outputs to their core essence, making complex information digestible and actionable.
/gather command that returns dozens of findings, use /distill to 5 bullets to get a quick overview of the most critical points.Use the distill skill to condense the previous output into 3 bullet points.
High-intent search queries and answers about installing and using this skill.
You can condense verbose LLM output into a short summary by reducing lengthy text into a specified number of bullet points or a single paragraph, making complex information digestible and actionable.
Yes, you can extract and condense conversation context into a specific number of bullets by specifying the desired count, which filters the most critical points from prior outputs into a quick overview.
To filter lengthy output for a specific topic, apply topic filtering to extract and condense only the information relevant to that subject, prioritizing confirmed findings over likely or possible ones.
The best way to reduce information overload from lengthy conversation findings is to condense the verbose input into its core essence, prioritizing confirmed findings to make complex information digestible.
The distill skill works with both pipe-formatted upstream output and raw conversation context, handling either input type to reduce verbose text into essential points.
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