Edit files in-place non-interactively using Vim Ex mode with silent flags.
npx skills add https://github.com/Cogni-AI-OU/cogni-ai-agent-skills --skill vim-ex
Please help me install this Agent Skill. Skill: vim-ex Source: https://github.com/Cogni-AI-OU/cogni-ai-agent-skills/tree/main/vim-ex Command: npx skills add https://github.com/Cogni-AI-OU/cogni-ai-agent-skills --skill vim-ex
This Skill helps you perform reliable, non-interactive file edits without running into the portability and syntax pitfalls of stream-editing tools like sed in shell or agent automation.
Ask the AI to edit the file non-interactively by running Ex in silent mode to apply a substitution and write changes: "Use ex -s to replace alias with alias_new in ~/.bashrc, then save the file."
High-intent search queries and answers about installing and using this skill.
Non-interactive in-place file editing loads a full file buffer to apply complex edits safely and directly, executing Ex in silent mode with write-and-quit commands to persist changes without user interaction.
Batch refactoring across many files applies repeatable editing logic via find/exec or argdo, composing substitutions, ranges, and macros using heredocs for maintainable command sets to ensure reliable structured transformations.
Vim Ex mode handles multi-line text transformations by loading the entire file buffer, allowing safe execution of complex substitutions, deletions, parsing-style edits, wrapping, and range-based operations.
Using Ex mode instead of stream-editing tools avoids portability and syntax pitfalls in shell automation, providing a full buffer load to execute complex multi-line transformations safely and directly in place.
Non-interactive editing with Ex mode requires executing with silent/batch flags and composing substitutions, ranges, and macros properly to avoid failing to persist changes, needing write-and-quit commands to save correctly.
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Tai-ch0802Reference Bash and Linux commands, operators, and scripting patterns.
Cogni-AI-OUExtract and transform text segments from large files using sed.
