finding-data-lake-assets

finding data lake assets

aws 2.1k ↓ 2.4k Apache-2.0 updated 25d ago
Claude Code
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What it does

  • You MUST accept a single argument: table name, keyword, column name, or S3 path
  • You MUST accept the argument as direct input or a pointer to a file containing the spec
  • You MUST ask for the target AWS region if not already set
  • You MUST confirm ambiguous input before searching (e.g., "Did you mean table X or bucket Y?")
  • You MUST respect the user's decision to abort at any step
  • You MUST verify AWS MCP server tools (awscallaws) are available; fall back to AWS CLI if not
  • You MUST confirm credentials with aws sts get-caller-identity

Requirements & configuration

  • S3, S3 Tables, and Redshift. Optimized for low token usage — return the
  • do not expect PascalCase inside. The operations you need:
  • misses, you MAY need to scan across databases. Do NOT issue separate
  • | get-tables fails with missing database | Requires --database-name | For cross-database search, use search-tables instead |
  • | Delegating caller expects verbose output | Other skill called this as a resolver | Return minimal output — caller needs a catalog reference, not a formatted summary |

Derived from the skill's own SKILL.md documentation · extracted 2026-07-23

finding data lake assets

Source

Repository: https://github.com/aws/agent-toolkit-for-aws

finding-data-lake-assets FAQ

What does the finding-data-lake-assets skill do?

>- Resolve data lake and lakehouse asset references across Glue Data Catalog, S3, S3 Tables, and Redshift. Triggers on: find the table, where is our data, which table has, locate dataset, find data for, search catalog, what tables match, Redshift table, lakehouse table, data lake table, warehouse table, reverse lookup S3 path. Do NOT use for: full catalog audits (use exploring-data-catalog), running queries (use querying-data-lake), creating tables (use creating-data-lake-table). You MUST accept a single argument: table name, keyword, column name, or S3 path You MUST accept the argument as direct input or a pointer to a file containing the spec

What does finding-data-lake-assets require?

S3, S3 Tables, and Redshift. Optimized for low token usage — return the do not expect PascalCase inside. The operations you need: misses, you MAY need to scan across databases. Do NOT issue separate | get-tables fails with missing database | Requires --database-name | For cross-database search, use search-tables instead | | Delegating caller expects verbose output | Other skill called this as a resolver | Return minimal output — caller needs a catalog reference, not a formatted summary |

How do I install finding-data-lake-assets?

Run: npx -y skills add https://github.com/aws/agent-toolkit-for-aws --skill finding-data-lake-assets --agent claude-code — the source lives at github.com/aws/agent-toolkit-for-aws.

Maintain finding-data-lake-assets?

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[finding-data-lake-assets on getagentictools](https://getagentictools.com/skills/aws-agent-toolkit-for-aws-finding-data-lake-assets?ref=badge)
npx agentictools info skills/aws-agent-toolkit-for-aws-finding-data-lake-assets

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