Calculate word, character, and sentence counts with reading time estimates.
npx skills add https://github.com/collat-labs/collat --skill word-stats
Please help me install this Agent Skill. Skill: word-stats Source: https://github.com/collat-labs/collat/tree/main/.agents/skills/word-stats Command: npx skills add https://github.com/collat-labs/collat --skill word-stats
It quickly quantifies a block of text so you can understand its size and complexity without manual counting.
Ask the word-stats skill to analyze the text you provide and return word count, character count, reading time, and sentence statistics immediately.
High-intent search queries and answers about installing and using this skill.
To calculate word count and reading time, provide your text to compute total words, characters, and estimated reading time at 238 words per minute. It returns immediate text statistics including sentence counts and lexical distribution.
Analyzing text length and unique word distribution involves processing the provided text to count total words, unique words with percentage, and average word length. It outputs comprehensive text statistics useful for content auditing and document profiling.
You can estimate speaking time from text by calculating metrics at a fixed speaking rate of 150 words per minute. The text statistics tool processes your input and returns the estimated speaking duration alongside word and character counts.
Text statistics analysis works without external dependencies, computing all metrics deterministically. It accepts user-provided text as an argument and calculates character counts, sentence statistics, and reading time using fixed thresholds.
Available text metrics for summarization planning include total word counts, characters with and without spaces, unique-word distribution, average word length, and sentence-level statistics. These readability proxies help gauge document size and complexity.
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