Run Python utilities for math and text-file tasks via CLI arguments.
npx skills add https://github.com/trpc-group/trpc-agent-go --skill python-math
Please help me install this Agent Skill. Skill: python-math Source: https://github.com/trpc-group/trpc-agent-go/tree/main/examples/skillrun/skills/python_math Command: npx skills add https://github.com/trpc-group/trpc-agent-go --skill python-math
Small Python utilities for math and text-file tasks are often tedious to assemble and run for ad-hoc workflows. This Skill provides ready-made scripts that can be executed inside the skill workspace to perform common numeric calculations and text processing with minimal setup.
Run the sample to print the first 10 Fibonacci numbers and redirect the output to a file: python3 scripts/fib.py 10 > out/fib.txt Run a sample to sum numbers provided on stdin: python3 <<'PY' from sys import stdin nums = [int(x) for x in stdin.read().split()] print(sum(nums)) PY
High-intent search queries and answers about installing and using this skill.
To generate Fibonacci numbers, run the Python utility by passing the desired count as a CLI argument to the script entry point. The script computes the sequence and outputs the numbers to stdout, which can be redirected to a file.
Sum a list of integers from standard input by reading the input stream, splitting the values, converting them to integers, and passing the resulting list to Python's built-in sum function to print the total.
No external libraries are needed to run these Python utilities. The scripts require only a Python 3 environment with standard library support, allowing you to execute lightweight data operations without additional dependencies.
Yes, you can use Python scripts for automating basic text file transformations. The utilities support simple text-processing helpers integrated within scripting workflows to enable fast data preparation and manipulation.
The best way to save Python script output to a file is by redirecting stdout from the command line. Running the utility with its CLI arguments and using the greater-than operator writes the results directly to a text file.
These Python utilities are designed for lightweight data operations and ad-hoc scripting workflows. They are not intended for heavy data manipulation, but rather for quick math tasks and simple text processing with minimal setup.
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