What problem does it solve? Deciding which tags to assign when saving a GitHub repository into a Capacities knowledge base is manual and inconsistent. This Skill automates tag suggestion by combining the repo's existing GitHub topics with signals found in its README, producing a complete, deduplicated tag list. ## Core Features & Use Cases - Topic-Based Tagging: Fetches the repo's existing GitHub topics via gh api or the public GitHub REST API and uses them verbatim as tags. - README Signal Scanning: Detects languages, frameworks, databases, and project types from badges, dependency files, and Tech Stack sections using the bundled tech-signals reference. - Provenance Marking: Marks every tag not present in the original GitHub topics with a star so users can distinguish fetched tags from AI-inferred ones. - Use Case: Given https://github.com/vercel/next.js, the Skill outputs all 14 existing topics plus #javascript inferred from the primary language, each annotated with its source. ## Quick Start Run /github-tag with a GitHub repository URL or a local project path to get a suggested tag list for saving it to Capacities.