Condenses verbose input into prioritized summaries while preserving provenance and traceability.
npx skills add https://github.com/supertyrelle/pelley --skill distill-supertyrelle
Please help me install this Agent Skill. Skill: distill Source: https://github.com/supertyrelle/pelley/tree/main/skills/distill Command: npx skills add https://github.com/supertyrelle/pelley --skill distill-supertyrelle
This Skill turns long, noisy, or overly detailed input into a concise set of essential points so you can understand outcomes faster and keep downstream work focused.
Ask the distill skill to reduce the latest verbose findings into five bullets.
High-intent search queries and answers about installing and using this skill.
To condense long context into bullet points, this Skill reduces verbose input into a concise, high-signal format. It prioritizes the most important findings first, favoring confirmed results over tentative ones.
Yes, you can summarize findings to a specific topic. This Skill applies topic filtering to narrow output to a specific subject, returning only the essential subset of source material you need.
Distilling pipeline output does preserve source attribution and confidence ordering. The Skill detects prior primitive output in conversation context and maintains pipeline provenance across chained analysis steps.
The best way to compress verbose research findings is to apply this Skill after an audit pass. It converts detailed material into a compact summary with count-based, bullet, or paragraph outputs.
When condensing noisy input, you can use bullet, paragraph, or count-based output formats. The Skill converts verbose material into your chosen high-signal format to help you understand outcomes faster.
You should not use a condensation step when full detail is required for downstream processing. This Skill is designed to reduce noise and focus on essentials, which may omit necessary verbose context.
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