fast-edit

Automate large-file edits with Python-based line-range mutations.

25|7|Updated Feb 14, 2026

Search Tags:#automation #backup #code-editing #batch-edit #large-files #fast-edit

Ready to run

npx skills add https://github.com/includewudi/fast-edit --skill fast-edit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: fast-edit
Source: https://github.com/includewudi/fast-edit/tree/main
Command: npx skills add https://github.com/includewudi/fast-edit --skill fast-edit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill replaces slow, content-heavy edits with line-based batch operations, enabling fast, deterministic changes on large files while preserving context and minimizing token usage.

Core Features & Use Cases

Batch edit across a single file or multiple files using replace-lines, delete-lines and insert-after/ before operations.
Paste and write workflows with automatic backups, extract code blocks, and base64 decoding to handle tricky content.
Generate large outputs from compact generator code to bypass AI token limits when creating 200+ line files.
Verify and restore to backups, supporting undo/rollback and safety checks.

Quick Start

Start by loading the skill and performing a batch edit to replace a line range in a target file.

Frequently Asked Questions about fast-edit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I perform batch edits on large code files without exceeding token limits?▼

Batch edits on large code files use Python-based line-range mutations to apply deterministic changes. This method preserves context, minimizes token usage, and ensures fast, repeatable modifications across big files.

Can I automate multi-file revisions and still undo the changes if something breaks?▼

Multi-file revisions are automated with replace-lines, delete-lines, and insert operations while creating automatic backups. You can verify syntax, run safety checks, and perform an easy rollback to restore previous states.

What is the best way to generate large outputs that bypass AI token limits?▼

Generating large outputs from compact generator code bypasses AI token limits when creating 200+ line files. This technique executes code to produce full file content directly, avoiding heavy content generation.

Does fast-edit support workflows involving base64 decoding and code block extraction?▼

Paste and write workflows support base64 decoding and code block extraction to handle tricky content safely. These features ensure accurate data injection when modifying large files through automated batch operations.

When should I use line-based mutations instead of standard content replacement for large files?▼

Line-based mutations replace slow, content-heavy edits with fast, deterministic changes on large files. Use this approach when you need repeatable batch modifications that preserve surrounding context and minimize token consumption.