Stack Advisor Skill

To recommend a technology stack, this Skill applies scoring rules for feature, scale, constraint, and team expertise compatibility against your project requirements, then ranks the options by fit and explains the trade-offs.

Automated stack recommendation handles team expertise and constraints by applying scoring rules to evaluate compatibility. It scores archetypes against your specific feature needs, scale demands, and team skills to rank the best-fitting stacks.

Yes, you can customize a recommended tech stack. The Skill provides customization options that allow you to explore more options or define your own stack after reviewing the initial ranked recommendations and trade-off explanations.

You need to provide project requirements in a RequirementsManifest JSON object or file path format for stack recommendation. The Skill processes this input to load a stack database and apply its archetypes scoring rules.

Yes, stack recommendation works with a local stack database. The Skill loads stack configurations from a `stacks.yaml` file located in your `$OPENCODE_CONFIG/data/` directory to evaluate and score technology options.