Classify and summarize project input files into distilled reference documents.
npx skills add https://github.com/RCSnyder/lights-out-swe-plugin --skill distill-rcsnyder
Please help me install this Agent Skill. Skill: distill Source: https://github.com/RCSnyder/lights-out-swe-plugin/tree/main/skills/distill Command: npx skills add https://github.com/RCSnyder/lights-out-swe-plugin --skill distill-rcsnyder
Distill helps convert unstructured or cluttered material in docs/input/ into clean, machine-consumable reference documents so downstream pipeline phases can reliably read and act on consistent artifacts.
Run the distill command with an optional focus area to transform the contents of docs/input/ into distilled- reference documents ready for EXPAND.
High-intent search queries and answers about installing and using this skill.
To convert messy project briefs and meeting notes into structured documentation, place raw files in docs/input/. The tool categorizes content like client briefs and feedback, producing concise distilled- reference documents with source attribution for downstream consumption.
Structuring unstructured API specifications and data schemas for pipeline inputs involves reading scattered files and classifying the content. This process extracts domain knowledge and schemas, generating additive distilled- documents that separate verified source-backed facts from assumptions.
Separating verified facts from assumptions when triaging scattered feedback requires ambiguity surfacing. The tool explicitly flags open questions and distinguishes source-backed information from inferred assumptions in the outputted distilled- reference documents.
Yes, you can generate reference docs without deleting original files. The distillation process is additive, creating new documents with a distilled- prefix while preserving and leaving all original raw input materials in docs/input/ completely unmodified.
Requirements distillation works without external dependencies or components. The process operates directly on local input files by reading, categorizing, and summarizing content to produce structured reference documents ready for reliable downstream pipeline phases.
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