Apply structural codemods across large codebases with Comby
SkillSearchRewrite recurring code patterns with syntax-aware matching so agents can run migration codemods more safely than plain regex search and replace.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Apply structural codemods across large codebases with Comby skill
What this skill tells your AI
The instructions your AI receives, as published by agentskillexchange/skills in skills/apply-structural-codemods-across-large-codebases-with-comby/SKILL.md and read by ahel’s review.
Rewrite recurring code patterns with syntax-aware matching so agents can run migration codemods more safely than plain regex search and replace.
Prerequisites
Comby CLI
Installation
Use the upstream install or setup path that matches your environment:
- docker run -a stdin -a stdout -a stderr -i comby/comby '(:[emoji] hi)' 'bye :[emoji]' lisp -stdin <<< '(👋 hi)'
- git clone https://github.com/comby-tools/comby
- make
- make test
Requirements and caveats from upstream:
-
Docker
- docker pull comby/comby
Basic usage or getting-started notes:
-
See the usage documentation.
-
A short example below shows how comby simplifies matching and rewriting compared to regex approaches like sed.
-
Mac OS X
-
Extracted from upstream docs: https://raw.githubusercontent.com/comby-tools/comby/HEAD/README.md
Documentation
Source
Signals
- GitHub stars
- 38
- Forks
- 53
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
apply-structural-codemods-across-large-codebases-with-comby- Source
- github.com/agentskillexchange/skills