agents/skills/cl-description/SKILL.md
Follow the instructions in the file
agents/skills/cl-description/cl-description.md (read it using its exact
relative path from the repository root) carefully to generate the CL
description. Ensure that all the constraints specified in the template are met.
Because LLMs cannot reliably hard-wrap text at precisely 72 characters, you
MUST mathematically format your draft before presenting the final response.
Use the provided Python script
agents/skills/cl-description/scripts/wrap_lines.py via your execution tools.
Pre-requisite: Save your draft to a file (e.g. draft.txt). Example usage:
vpython3 agents/skills/cl-description/scripts/wrap_lines.py draft.txt Final
output should be the code block containing the mathematically formatted text.