readability
Analyze text readability with Flesch-Kincaid, Gunning Fog, SMOG, and other metrics. Returns objective scores with interpretation and recommendations.
Best use case
readability is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Analyze text readability with Flesch-Kincaid, Gunning Fog, SMOG, and other metrics. Returns objective scores with interpretation and recommendations.
Analyze text readability with Flesch-Kincaid, Gunning Fog, SMOG, and other metrics. Returns objective scores with interpretation and recommendations.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "readability" skill to help with this workflow task. Context: Analyze text readability with Flesch-Kincaid, Gunning Fog, SMOG, and other metrics. Returns objective scores with interpretation and recommendations.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/readability/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How readability Compares
| Feature / Agent | readability | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Analyze text readability with Flesch-Kincaid, Gunning Fog, SMOG, and other metrics. Returns objective scores with interpretation and recommendations.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Analyze Readability Calculate and display readability metrics for the provided text. ## Input The user provides text in $ARGUMENTS. If no text provided, ask for it. ## Metrics to Calculate ### Core Scores | Metric | Formula | Interpretation | |--------|---------|----------------| | **Flesch Reading Ease** | 206.835 - 1.015(words/sentences) - 84.6(syllables/words) | 0-100, higher = easier | | **Flesch-Kincaid Grade** | 0.39(words/sentences) + 11.8(syllables/words) - 15.59 | US grade level | | **Gunning Fog Index** | 0.4[(words/sentences) + 100(complex words/words)] | Years of education | | **SMOG Index** | 1.043 × √(complex words × 30/sentences) + 3.1291 | Grade level | *Complex words = 3+ syllables* ### Text Statistics - Word count - Sentence count - Average sentence length (words) - Average word length (characters) - Complex words count and % - Passive voice sentences (estimate) ## Output Format ``` ## Readability Analysis ### Scores | Metric | Score | Meaning | |--------|-------|---------| | Flesch Reading Ease | [X] | [interpretation] | | Flesch-Kincaid Grade | [X] | [grade level] | | Gunning Fog | [X] | [years education] | | SMOG | [X] | [grade level] | ### Statistics - Words: [X] - Sentences: [X] - Avg sentence length: [X] words - Complex words: [X] ([Y]%) ### Target Audience [Who can easily read this based on scores] ### Recommendations 1. [Specific suggestion] 2. [Specific suggestion] 3. [Specific suggestion] ``` ## Interpretation Guide | Flesch Score | Grade | Audience | |--------------|-------|----------| | 90-100 | 5th | Very easy | | 80-89 | 6th | Easy | | 70-79 | 7th | Fairly easy | | 60-69 | 8-9th | Standard | | 50-59 | 10-12th | Fairly difficult | | 30-49 | College | Difficult | | 0-29 | Graduate | Very difficult | ## Recommendations Based on scores, suggest: - Sentences to shorten (if avg > 20 words) - Complex words to simplify - Passive voice to convert to active - Specific examples of what to fix
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