Claude Skill

Apply structural codemods across large codebases with Comby

Rewrite recurring code patterns with syntax-aware matching so agents can run migration codemods more safely than plain regex search and replace.

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agentskillexchange/skills 45 57 forks MIT Updated 12h ago

Part of agentskillexchange/skills — 249 skills

Install

skills CLI

npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apply-structural-codemods-across-large-codebases-with-comby

Claude Code

claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install agentskillexchange-skills@llmmart

Git git clone https://github.com/agentskillexchange/skills.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole agentskillexchange/skills collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Apply structural codemods across large codebases with Comby

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
click to expand an example invocation for the docker image

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
Source: https://github.com/comby-tools/comby
Extracted from upstream docs: https://raw.githubusercontent.com/comby-tools/comby/HEAD/README.md

Documentation

https://comby.dev/

Source

Agent Skill Exchange

Files (skills)

SKILL.md 1.8 KB

---
name: "Apply structural codemods across large codebases with Comby"
slug: "apply-structural-codemods-across-large-codebases-with-comby"
description: "Rewrite recurring code patterns with syntax-aware matching so agents can run migration codemods more safely than plain regex search and replace."
github_stars: 2626
verification: "security_reviewed"
source: "https://github.com/comby-tools/comby"
author: "comby-tools"
publisher_type: "organization"
category: "Developer Tools"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "comby-tools/comby"
  github_stars: 2626
---

# Apply structural codemods across large codebases with Comby

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
- <summary>click to expand an example invocation for the docker image</summary>

Basic usage or getting-started notes:
- ### See the [usage documentation](https://comby.dev).
- [A short example below](https://github.com/comby-tools/comby#isnt-a-regex-approach-like-sed-good-enough) shows how comby simplifies matching and rewriting compared to regex approaches like sed.
- ### Mac OS X

- Source: https://github.com/comby-tools/comby
- Extracted from upstream docs: https://raw.githubusercontent.com/comby-tools/comby/HEAD/README.md

## Documentation

- https://comby.dev/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/apply-structural-codemods-across-large-codebases-with-comby/)