word-stats_skill

Overview

This skill computes quick text statistics: word count, character counts, sentence and paragraph counts, reading and speaking time, and basic word metrics. It returns a compact table-style summary immediately when text is provided. No clarifying questions are asked — provide text and get numbers. Designed for fast, repeatable analysis in agent flows.

How this skill works

When you pass text as the input argument, the skill parses the content and counts words, characters (with and without spaces), sentences, and paragraphs. It calculates reading time using 238 words per minute and speaking time using 150 words per minute. The skill also derives unique-word percentage, average word length, and identifies the longest word. Output is formatted as concise metric tables for easy consumption.

When to use it

• Quickly measuring length and reading time for articles, emails, or drafts.
• Validating content size limits for publishing or submission.
• Estimating spoken delivery time for presentations or scripts.
• Comparing drafts by word and sentence statistics.
• Automating checks in content pipelines or editor workflows.

Best practices

• Provide the final text blob as the single input; the skill returns metrics immediately.
• Do not expect recommendations or edits — the output is strictly quantitative.
• For accurate sentence counts, ensure sentences end with standard punctuation.
• Use results programmatically to gate content length or estimate time budgets.

Example use cases

• A writer pastes an article draft to get word count, unique-word ratio, and estimated reading time.
• A presenter checks speaking time for a script before rehearsals.
• An editor enforces word or character limits before submission.
• A QA pipeline verifies content size and basic complexity metrics automatically.