line-ending-normalizer
Normalize line endings for cross-platform file handling with CRLF/LF conversion and git configuration.
npx skills add a5c-ai/babysitter --skill line-ending-normalizer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Line Ending Normalizer Normalize line endings for cross-platform compatibility. ## Capabilities - Detect line ending style - Convert between CRLF and LF - Configure git line ending settings - Handle mixed line endings - Set up .gitattributes ## Generated Patterns ```typescript export type LineEnding = 'lf' | 'crlf' | 'mixed'; export function detectLineEnding(content: string): LineEnding { const crlf = (content.match(/\r\n/g) || []).length; const lf = (content.match(/(?<!\r)\n/g) || []).length; if (crlf > 0 && lf > 0) return 'mixed'; if (crlf > 0) return 'crlf'; return 'lf'; } export function normalizeLineEndings(content: string, target: 'lf' | 'crlf' = 'lf'): string { const normalized = content.replace(/\r\n/g, '\n').replace(/\r/g, '\n'); return target === 'crlf' ? normalized.replace(/\n/g, '\r\n') : normalized; } // .gitattributes content export const gitattributes = ` * text=auto eol=lf *.bat text eol=crlf *.cmd text eol=crlf *.ps1 text eol=crlf *.sh text eol=lf `; ``` ## Target Processes - cross-platform-cli-compatibility - configuration-management-system - shell-script-development
- Capabilities
- Generated Patterns
- Target Processes
What does the line-ending-normalizer skill do?
Normalize line endings for cross-platform file handling with CRLF/LF conversion and git configuration.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill line-ending-normalizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.