بنقرة واحدة
word-frequency
Compute the top-10 most frequent words in any text passage supplied by the user.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Compute the top-10 most frequent words in any text passage supplied by the user.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Compute the complete Hailstone sequence for a given starting number by repeatedly calling the next_number tool until the value 1 is reached.
Compute a sequence for a given starting number by repeatedly calling the next_number tool until the value 1 is reached.
Bump the package version (major, minor, or patch), then sync CITATION.cff, src/_version.py, and CHANGELOG.md. Use when asked to cut a release or bump the version.
Create a GitHub issue in nerdai/llm-agents-from-scratch and add it to project
| name | word-frequency |
| description | Compute the top-10 most frequent words in any text passage supplied by the user. |
This skill counts word frequencies in a text passage provided by the user and reports the top-10 results as a markdown table. The computation is performed by a Python script to ensure deterministic, accurate counts.
Run the script and pass the user's text passage as the stdin argument. The script reads from stdin, so the stdin argument must contain the full text provided by the user:
from_scratch__python_interpreter(path="<skill_dir>/scripts/word_freq.py", stdin="<user_text>")
Replace <skill_dir> with the value of Skill directory shown at the bottom of this skill content, and <user_text> with the complete, verbatim text passage supplied by the user.
Report the markdown table printed by the script exactly as-is.