๐ŸŽ Get the FREE AI Skills Starter Guide โ€” Subscribe โ†’
BytesAgainBytesAgain
BytesAgain โ€บ Skills โ€บ word-letter-frequency
๐Ÿฆ€ ClawHub

word-letter-frequency

by @simmusjune

Count how many times each letter appears in a word or short phrase. Trigger when a user asks for per-letter frequencies, distributions, or statistics inside...

Versionv1.0.0
Downloads654
#data#legal#automation
TERMINAL
clawhub install word-letter-frequency

๐Ÿ“– About This Skill

name: word-letter-frequency description: Count how many times each letter appears in a word or short phrase. Trigger when a user asks for per-letter frequencies, distributions, or statistics inside a single word or very short string.

Word Letter Frequency

Quick start

1. Identify the input text (typically one word or a short phrase). Default behavior lowercases the text and ignores non-letters so repeated letters like a/A are merged. 2. Run scripts/count_letters.py "" to get a frequency table. Use the optional flags when needed: - --case-sensitive keeps uppercase and lowercase separate. - --include-non-alpha counts digits/punctuation as-is. - --json returns machine-friendly JSON for downstream processing. 3. Summarize the counts for the user. Include clarifying notes (e.g., whether you ignored punctuation) when relevant.

Script reference

scripts/count_letters.py

Lightweight CLI/utility that powers this skill. It exposes two layers:
  • CLI usage: python3 scripts/count_letters.py "balloon" --json
  • Import usage: from scripts.count_letters import count_letters and call count_letters(text, case_sensitive=False, include_non_alpha=False) to get a collections.Counter.

    • Sample CLI output (default options): 

    $ python3 scripts/count_letters.py "balloon"
Character  Count
---------  -----
a          1
b          1
l          2
o          2
n          1

    Sample JSON output (good for embedding directly into responses): 

    $ python3 scripts/count_letters.py "AaB!" --case-sensitive --include-non-alpha --json
{"A": 1, "a": 1, "B": 1, "!": 1}

    Response patterns

  • Concise summary: โ€œballoon contains bร—1, aร—1, lร—2, oร—2, nร—1 (case-insensitive, punctuation ignored).โ€
  • Tabular snippet: Mirror the scriptโ€™s table for readability. Mention any options you used.
  • JSON / dict: When the user wants structured data, reuse the scriptโ€™s --json flag.

    • Edge cases & tips

  • Make sure to state how you treated uppercase letters and punctuation, especially when the counts differ depending on options.
  • If the input contains no alphabetic characters and --include-non-alpha is not set, the script intentionally reports โ€œ(no characters were counted)โ€. Explain why in the response.
  • For multiple words, either run the script once on the full phrase (default) or note that the skill focuses on short strings; if the request expands to full documents, escalate to a general text-analysis workflow instead.

    • ๐Ÿ’ก Examples

    1. Identify the input text (typically one word or a short phrase). Default behavior lowercases the text and ignores non-letters so repeated letters like a/A are merged. 2. Run scripts/count_letters.py "" to get a frequency table. Use the optional flags when needed: - --case-sensitive keeps uppercase and lowercase separate. - --include-non-alpha counts digits/punctuation as-is. - --json returns machine-friendly JSON for downstream processing. 3. Summarize the counts for the user. Include clarifying notes (e.g., whether you ignored punctuation) when relevant.