Compute readability indices and text statistics for writing complexity.
npx skills add https://github.com/collat-labs/collat --skill readability-collat-labs
Please help me install this Agent Skill. Skill: readability Source: https://github.com/collat-labs/collat/tree/main/.agents/skills/readability Command: npx skills add https://github.com/collat-labs/collat --skill readability-collat-labs
Readability skills help you quickly understand how easy or difficult your writing is to understand so you can reduce confusion and match the right reading level for your audience.
Use the readability skill on your draft text to get a full set of readability scores and concrete recommendations for rewriting it for your target audience.
High-intent search queries and answers about installing and using this skill.
Reading level analysis applies established indices like Flesch-Kincaid Grade, Gunning Fog, and SMOG to quantify text complexity and estimate the required comprehension grade level. This process helps match documentation and marketing copy to your target audience.
A good Flesch Reading Ease score for marketing copy typically falls in the 60-70 range, indicating standard difficulty easily understood by 13- to 15-year-olds. The analysis provides score interpretations and recommendations to shorten sentences and simplify complex words for better clarity.
Reducing passive voice in documentation requires identifying sentence-level estimates of passive construction usage. The analysis flags passive voice estimates alongside complex word rates and average sentence lengths, providing targeted recommendations to shorten sentences and simplify vocabulary.
Yes, readability scoring applies directly to instructions and technical writing to tune tone and comprehension levels. It analyzes sentence-level and word-level statistics, computing indices like SMOG and Gunning Fog to ensure documentation matches the target audience's reading level.
Readability analysis includes text profiling statistics such as word count, sentence count, average sentence length, average word length, complex-word rate, and passive voice estimates. These supporting metrics complement readability indices to guide targeted editing decisions for any scenario.
while-basicCompute word, character, and sentence counts with reading time from text.
pingdiorConvert dense prose into structured summaries with TL;DR and bold conclusions.
andginjaRefine marketing copy for clarity, conciseness, and tone consistency.
collat-labsCalculate word, character, and sentence counts with reading time estimates.
