marketplace-personalisation

Installation
SKILL.md

Marketplace Engineering Two-Sided Personalisation Best Practices

Comprehensive guide for designing, building and improving personalisation and recommendation systems in two-sided trust marketplaces on AWS Personalize. Contains 49 rules across 9 categories, ordered by cascade impact on the personalisation lifecycle, plus two playbooks for planning a new system from scratch and diagnosing an existing one.

When to Apply

Reference this skill when:

  • Designing the event schema and tracking for a new recommender system
  • Choosing an AWS Personalize recipe (USER_PERSONALIZATION_v2, SIMS, PERSONALIZED_RANKING_v2)
  • Writing or reviewing candidate-generation and re-ranking code for marketplace search or homefeed
  • Handling cold start for new providers, new seekers, or new catalog regions
  • Diagnosing a live system that "mostly works but feels stale, unfair, or unpersonalised"
  • Planning the next experiment, baseline comparison, or A/B test for the recommender
  • Investigating concentration, coverage collapse, death spirals, or training-serving skew
  • Adding observability dashboards, drift detection, or online metric slicing
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Apr 13, 2026