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gdpr-compliance
Expert GDPR compliance assistant covering all four core workflows: (1) auditing code and systems for GDPR violations, (2) drafting GDPR-compliant documents such as privacy policies, Data Processing Agreements (DPAs), and consent notices, (3) answering GDPR compliance questions with authoritative article citations, and (4) reviewing data flows and PII handling practices. Use this skill whenever the
ln-201-opportunity-discoverer
Discovers growth opportunities using Traffic-First KILL funnel. Use when searching for next product direction with validated demand.
ln-210-epic-coordinator
Creates or replans 3-7 Epics from scope using Decompose-First pattern. Use when initiative needs Epic-level breakdown or Epic scope changed.
ln-221-story-creator
Creates Story documents with 9-section structure and INVEST validation via the configured tracker provider. Use when Epic has an IDEAL plan ready for Story generation.
ln-222-story-replanner
Replans Stories by comparing IDEAL vs existing (KEEP/UPDATE/OBSOLETE/CREATE). Use when Epic requirements changed and Stories need realignment.
ln-300-task-coordinator
Analyzes Story and builds optimal task plan (1-8 tasks), then routes to create or replan. Use when Story needs task breakdown or replanning.
ln-302-task-replanner
Compares ideal plan vs existing tasks and applies KEEP/UPDATE/OBSOLETE/CREATE changes. Use when Story tasks need re-sync with updated requirements.
ln-314-review-repair-worker
Use when accepted findings require bounded repair changes and a structured repair summary.
ln-316-review-refinement-worker
Use when an evaluation run requires bounded iterative refinement with trace and cleanup evidence.
ln-403-task-rework
Fixes tasks in To Rework by applying reviewer feedback, then returns to To Review. Use when task was rejected during review.
ln-500-story-quality-gate
Story-level quality gate with 4-level verdict (PASS/CONCERNS/FAIL/WAIVED) and Quality Score. Use when Story is ready for quality assessment.
ln-512-tech-debt-cleaner
Auto-fixes low-risk tech debt (unused imports, dead code, commented-out code) with >=90% confidence. Use when audit findings need safe automated cleanup.