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Rewrite 548 skill descriptions to the activation rubric
Each rewritten description now states both what the skill does (concrete capability, named tools/artifacts) and an explicit when-to-use trigger, improving agent discovery/activation. Grounded in each skill's own body; changes confined to the `description` field only (bodies and all other frontmatter untouched). Produced by a gated audit->rewrite->recheck loop (548 -> 0 flagged) with a sampled anti-invention check (0 ungrounded). Schema: 817/817 pass. Framework-ID gate: 0 defects.
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name: implementing-aws-macie-for-data-classification
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description: Implement Amazon Macie to automatically discover, classify, and protect
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sensitive data in S3 buckets using machine learning and pattern matching for PII,
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financial data, and credentials detection.
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description: Enable and configure Amazon Macie via AWS CLI/Terraform to discover, classify, and protect sensitive data (PII, financial data, credentials) in S3 using ML and pattern matching, including discovery jobs, custom data identifiers, allow lists, and EventBridge-based remediation. Use when setting up S3 data classification, cloud DLP, or auditing S3 for unprotected sensitive data.
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domain: cybersecurity
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subdomain: cloud-security
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tags:
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