Repolish: Enhance Your Repository's First Impression with AI

Repolish: Enhance Your Repository's First Impression with AI

Repolish is a command-line tool designed to assess and improve the first impression of an open-source repository. By scoring 22 specific signals, it identifies areas of improvement in README files, repository documentation, discoverability, and open-source hygiene, such as licenses and contribution guides. Repolish does not alter existing content but instead provides clear recommendations for enhancements.

What this skill does

• Diagnoses the state of an open-source repository by scoring various elements divided into 22 signals.
• Identifies issues related to README formatting, documentation clarity, and compliance with open-source norms.
• Generates a plan outlining necessary improvements, without rewriting existing content.
• Suggests additional components, such as badges, tables of contents, issue/PR templates, and CI workflows.
• Ensures the diff from `repolish --apply` only adds new lines, preserving the original file integrity.
• Returns responsibilities needing user judgment, for example, missing quick-start guides or outdated commands in README files.

Who it is for

This tool is ideal for developers and teams utilizing AI coding agents like Claude Code, Cursor, and Codex, who seek to maintain high standards in their open-source repository presentation and documentation.

Use cases

• Improving the first impression of a repository for new contributors or users.
• Ensuring open-source hygiene before releasing a new project version.
• Preparing repositories for review during community or internal audits.

Technical details

• Repolish works as a command-line tool compatible with AI agents such as Claude Code, Cursor, and Codex through agent-skills and aiapplication capabilities.
• The tool provides consistent results as no model influences the scoring path; identical commits will yield the same scores.
• Integrates seamlessly into developer workflows by offering measurable insights without rewriting existing repository content.

Source & Licence

This package is built on open-source work published by asale-ai (asale-ai/anything-to-skill) and distributed under Apache-2.0. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted under the Apache License 2.0, which also includes an express patent grant. Attribution and any NOTICE file must be retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.