Count words, sentences, and characters in plain text input.
npx skills add https://github.com/librefang/librefang-registry --skill word-counter
Please help me install this Agent Skill. Skill: word-counter Source: https://github.com/librefang/librefang-registry/tree/main/examples/skills/custom-skill-python Command: npx skills add https://github.com/librefang/librefang-registry --skill word-counter
Counts words, sentences, and characters in the provided text, enabling quick text metrics and quality checks.
Provide the text input and run the skill to receive word, sentence, and character counts.
High-intent search queries and answers about installing and using this skill.
To count words, sentences, and characters in plain text, provide the article as input and run the tool to instantly return total counts for each metric. It reads the text input and outputs the metrics as a plain text string.
Checking text length and readability metrics for notes is done by running a text analysis process that returns total word, sentence, and character counts. This helps quickly gauge the length constraints of your drafts.
Yes, you can use this word counter for text processing on messages and summaries. It applies to any plain text input to instantly detect and count sentences based on common punctuation alongside words and characters.
Sentence count detection works by identifying common punctuation marks in the provided text. It scans the plain text input to detect and count sentences based on standard punctuation, returning the total count.
No external dependencies are needed to run text analysis and count words. The tool is implemented entirely in Python with a standalone function that processes the input text and returns the metrics.
Character count varies depending on the exact text input provided, accurately returning the total character count for that specific text. It processes the exact plain text string passed to it without altering the data.
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