Manages developer memory by hiding obsolete or deprecated repositories from active query results.
The Archive Repository skill helps developers maintain a clean and efficient workspace by marking obsolete projects as hidden within their AI memory system. It prevents outdated codebases from cluttering search results or context windows while allowing users to document the specific reason for archival, such as deprecation or merging into a monorepo. By streamlining the projects available to the AI agent, this skill ensures that context remains relevant and focused on active development tasks while still preserving historical metadata.
Key Features
010 GitHub stars
02Instantly hide obsolete repositories from AI query results
03Document archival reasons for historical context and team visibility
04Maintains a structured record of deprecated projects for future reference
05Automatic detection of current repository via Git integration
06Seamless integration with the manage_memory.py utility
Use Cases
01Cleaning up AI search results after a project has been retired or reached end-of-life
02Organizing large development environments to ensure the AI focuses only on active production code
03Hiding legacy repositories that have been successfully merged into a different codebase
