Perform regex-based text substitutions and transformations on streams.
npx skills add https://github.com/jyasuu/cheat-sheet --skill sed
Please help me install this Agent Skill. Skill: sed Source: https://github.com/jyasuu/cheat-sheet/tree/main/skills/sed Command: npx skills add https://github.com/jyasuu/cheat-sheet --skill sed
Sed empowers you to perform text substitutions, line operations, and transformations directly in streams, reducing manual editing work.
Perform a simple substitution on a file by replacing all occurrences of "old" with "new" using sed.
High-intent search queries and answers about installing and using this skill.
In-place text substitution across config files is achieved by applying regex-powered replacements directly to the file stream. You can edit files without creating backups or generate optional backups as needed during the transformation.
Batch text processing on log files is automated by performing stream-based text transformations. This approach relies on regex substitutions to extract, delete, or transform specific lines and patterns across large volumes of log data.
Yes, you can use regex to normalize whitespace across a codebase during a build or cleanup. Regex-powered substitutions apply complex pattern replacements across files or streams to reformat text consistently.
Stream editing handles multi-line patterns by applying robust regex-based substitutions across continuous text streams. This allows you to extract, print, delete, and transform lines based on complex pattern ranges.
You do not need to create backup files when editing text streams directly. In-place editing can modify files without backups, although you can optionally generate them as needed for safety before applying transformations.
gitgoodordietryingProvide regex patterns for validation, parsing, and data extraction.
durable-streamsConfigure and deploy durable-streams servers for development or production environments.
nick-ortonExtract fields and transform text streams using awk and sed.
Sake-TeamRoutes structured text parsing decisions between regex and LLM validation.
