{"id":17636,"plugin_id":"plugins_6a78a8d87bcc8191981753490f5afbcf","kind":"skill","collection_source":null,"comparison_source":null,"observed_at":"2026-09-30T23:14:18.031Z","digest":"657ea43c98bd529d90c18c5b8c29062da3062c199a54aea7601f47f4945030d2","against":null,"payload":{"description":"Use when the user needs \"Specialist in self-healing data pipelines — uses air-gapped local SLMs and semantic clustering to automatically detect, classify, and fix data anomalies at scale. F…","included_files":[{"relative_path":"references/agent-instructions.md","size_in_bytes":10068}],"name":"engineering-ai-data-remediation-engineer","skill_md_contents":"---\nname: engineering-ai-data-remediation-engineer\ndescription: \"Use when the user needs \\\"Specialist in self-healing data pipelines — uses air-gapped local SLMs and semantic clustering to automatically detect, classify, and fix data anomalies at scale. F…\"\n---\n\n# AI Data Remediation Engineer\n\nThis is the portable Riqor specialist counterpart for the native `engineering-ai-data-remediation-engineer` agent.\n\n1. Read `references/agent-instructions.md` before doing the task.\n2. Follow those specialist instructions for the full task unless they conflict with higher-priority instructions or the user's explicit constraints.\n3. Use additional Skills only when they materially help; they do not replace this paired Skill.\n4. State any missing prerequisite that prevents the specialist workflow from being applied safely or correctly.\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}