This skill should be used when comparing Lisa's source templates against a target project's implementation to identify drift. It validates the Lisa directory, detects project types, reads the manifest, compares files, categorizes changes, and offers to adopt improvements back into Lisa. This is the inverse of lisa:review-implementation.
Quickly install lisa-review-project AI skill to your development environment via command line
Source: codyswanngt/lisa.
This skill compares Lisa's source templates against a target project that has Lisa applied, identifying what the project has changed from Lisa and offering to adopt those improvements back into Lisa.
This skill must be run FROM the Lisa repository directory. The target project must have Lisa already applied (must have a .lisa-manifest file).
Parse the project's package.json and filesystem to detect its type(s):
This skill should be used when comparing Lisa's source templates against a target project's implementation to identify drift. It validates the Lisa directory, detects project types, reads the manifest, compares files, categorizes changes, and offers to adopt improvements back into Lisa. This is the inverse of lisa:review-implementation. Source: codyswanngt/lisa.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/codyswanngt/lisa --skill lisa-review-projectThis skill should be used when comparing Lisa's source templates against a target project's implementation to identify drift. It validates the Lisa directory, detects project types, reads the manifest, compares files, categorizes changes, and offers to adopt improvements back into Lisa. This is the inverse of lisa:review-implementation. Source: codyswanngt/lisa.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/codyswanngt/lisa --skill lisa-review-project Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/codyswanngt/lisa