Summarize lengthy responses to 50% or less with clear hierarchy.
npx skills add https://github.com/tyl-99/tyl-skills --skill reformat
Please help me install this Agent Skill. Skill: reformat Source: https://github.com/tyl-99/tyl-skills/tree/main/reformat Command: npx skills add https://github.com/tyl-99/tyl-skills --skill reformat
This Skill helps reduce bloated, redundant, or unclear responses, making information more digestible and visually organized.
Ask the model to reformat the previous response to make it shorter and clearer.
High-intent search queries and answers about installing and using this skill.
To make a lengthy AI response shorter and more structured, use text reformatting to aggressively cut content by 50% or more. This reduces bloated outputs into concise, visually organized points by eliminating redundancy and enforcing a clear hierarchy for quicker reading.
The best way to reformat verbose technical explanations is to apply aggressive text reduction algorithms that hard cut redundant content. This restructuring process focuses on core points, transforming detailed instructions into brief, easily digestible forms with visual clarity.
Aggressive text reduction works by analyzing lengthy text to hard cut redundant content and distill core points. It restructures the remaining information into a clear hierarchy, cutting the original volume to 50% or less while preserving the essential message for easy consumption.
Yes, you can reformat the previous response you just received by asking the model to make it shorter and clearer. The Skill analyzes the existing output, removes repetition, and restructures the hierarchy to produce a more focused, concise version.
You need to use a text reformatting process when you receive lengthy, bloated, or unclear replies that are hard to digest. It is ideal for refining technical explanations or detailed instructions into brief, structured outputs, cutting content by half to improve visual clarity.
A limitation of hard cutting content during text reformatting is the potential loss of nuanced details from the original technical explanations. While it enforces conciseness and visual clarity by aggressively reducing volume to 50%, this approach may strip away context needed for complex instructions.
DiologIRCompress technical documents into dense summaries preserving semantic content.
guanyangFormat Markdown files with YAML frontmatter and normalized typography.
tya5Summarize articles into brief overviews and extract key points as bullet points.
jwiegleyCompress natural language prompts by removing stop words while preserving semantic content.
