Reusable skills for helping users adopt, integrate, operate, evaluate, and contribute to Gorse, an open-source recommender system.
These skills are organized around user jobs rather than source-code directories. They are intended for AI assistants, documentation agents, support bots, and human contributors who need consistent, task-oriented guidance.
| Skill | Audience | Use when |
|---|---|---|
gorse-quickstart | First-time users | Starting Gorse locally and getting first recommendations |
gorse-data-modeling | Application developers | Mapping business data to users, items, and feedback |
gorse-api-integration | Backend/full-stack developers | Integrating with REST APIs or SDKs |
gorse-recommendation-pipeline | Developers/operators | Explaining retrieval, ranking, filtering, and caching |
gorse-config-tuning | Engineers tuning behavior | Editing config.toml and recommender/ranker settings |
gorse-deployment | Operators/platform engineers | Deploying single-node or distributed Gorse |
gorse-dashboard-usage | Admins/product users | Using the web dashboard for data, tasks, and monitoring |
gorse-troubleshooting | All users | Diagnosing empty recommendations, task, data, and deployment issues |
gorse-evaluation-optimization | Data/ML/product teams | Evaluating recommendation quality and improving outcomes |
gorse-cli-usage | Admins/operators | Using gorse-cli for administration and debugging |
gorse-sdk-integration | App developers | Choosing REST vs SDK and integrating language clients |
gorse-use-case-recipes | Solution designers | Designing Gorse setups for common business scenarios |
gorse-contributor-development | Contributors | Understanding the codebase and making changes |
Each skill lives at:
skills/<skill-name>/SKILL.md
Each file uses YAML frontmatter followed by actionable Markdown guidance.
3 commits
Reusable skills for helping users adopt, integrate, operate, evaluate, and contribute to Gorse, an open-source recommender system.
These skills are organized around user jobs rather than source-code directories. They are intended for AI assistants, documentation agents, support bots, and human contributors who need consistent, task-oriented guidance.
| Skill | Audience | Use when |
|---|---|---|
gorse-quickstart | First-time users | Starting Gorse locally and getting first recommendations |
gorse-data-modeling | Application developers | Mapping business data to users, items, and feedback |
gorse-api-integration | Backend/full-stack developers | Integrating with REST APIs or SDKs |
gorse-recommendation-pipeline | Developers/operators | Explaining retrieval, ranking, filtering, and caching |
gorse-config-tuning | Engineers tuning behavior | Editing config.toml and recommender/ranker settings |
gorse-deployment | Operators/platform engineers | Deploying single-node or distributed Gorse |
gorse-dashboard-usage | Admins/product users | Using the web dashboard for data, tasks, and monitoring |
gorse-troubleshooting | All users | Diagnosing empty recommendations, task, data, and deployment issues |
gorse-evaluation-optimization | Data/ML/product teams | Evaluating recommendation quality and improving outcomes |
gorse-cli-usage | Admins/operators | Using gorse-cli for administration and debugging |
gorse-sdk-integration | App developers | Choosing REST vs SDK and integrating language clients |
gorse-use-case-recipes | Solution designers | Designing Gorse setups for common business scenarios |
gorse-contributor-development | Contributors | Understanding the codebase and making changes |
Each skill lives at:
skills/<skill-name>/SKILL.md
Each file uses YAML frontmatter followed by actionable Markdown guidance.
3 commits