Refactoring
CheckedRefactors complex Python/Java backend code for improved readability, performance, and maintainability using automated analysis and suggestions.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add eyadsibai/ltk --skill refactoring -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
eyadsibai
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned eyadsibai/ltk at f8e85697b9.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- f8e85697b9
- Scanned
- 1 file, 327 lines
About this skill
What it does
This skill refactors Python and Java backend code to improve readability, performance, and maintainability. It provides automated analysis and suggestions for safe restructuring, migrations, and modernization of existing codebases. The tool supports renaming identifiers, extracting methods into separate functions, and splitting large classes into smaller, more focused components. It prioritizes safety by checking dependencies and ensuring tests pass throughout the refactoring process.
When to use it
- When a code block exceeds 20 lines and needs to be broken down for clarity.
- To eliminate duplicated code segments within your project.
- When a class becomes too large (over 500 lines) and difficult to manage.
- To improve the testability of code by isolating functionality into smaller units.
- When renaming identifiers across a codebase is required, ensuring all references are updated safely.
Key capabilities
- Safe Renaming: Renames identifiers while finding all references, identifying scope (module-local, package-wide, public API), checking dependencies, and verifying with tests. Includes updating docstrings, comments, configuration files, and tests.
- Method Extraction: Extracts code blocks into separate functions based on length, duplication, single purpose, and testability.
- Class Splitting: Splits large classes into focused components when they have multiple responsibilities or require excessive mocking for testing.
Example prompts
- "Refactor this function: [paste function code]"
- "Extract the order validation logic from the
process_orderfunction." - "Rename the class
OrderManagertoOrderServiceand update all references."
Tips & gotchas
- The skill uses
grepfor finding references, which may have limitations depending on code complexity. - Consider a deprecation period when refactoring public APIs to ensure smooth transitions.
- For class splitting, the skill suggests strategies but requires developer oversight and potentially manual adjustments after automated extraction.