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Add privacy-engineering skill that translates privacy principles and legal requirements into verifiable engineering artifacts: data-lifecycle records, privacy acceptance criteria, data-flow and access maps, retention/deletion verification plans, and privacy change reviews. Covers seven privacy dimensions (purpose, lifecycle/retention, access, deletion, tenant/isolation, residency, consent) as structured concerns. Addresses agent traces (LLM conversation logs, tool-call history) and product analytics telemetry with privacy-specific guidance. Routes legal interpretation to legal-strategy and security implementation to secure-software-engineering. Includes: - SKILL.md with Loading Guide, file map, and routing boundaries - README.md with 5 required sections - references/discovery-brief.md comparing 10 adjacent skills - 5 templates for expected artifacts - evals/evals.json with 6 cases covering all mandatory scenarios - Updated root README catalog, skill-triggers, and generated catalogs Co-authored-by: username <username> Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>