
Finding Data Lake Assets
Resolves table and dataset references across AWS Glue Data Catalog, S3, S3 Tables, and Redshift with a layered search that stops at the first high-confidence match. Good for when you or another skill needs to find "the orders table" or reverse-lookup an S3 path to its catalog entry without burning tokens on full scans. Defaults to resolve mode (find the thing) rather than exploration, uses search-tables as the primary API, and only falls back to multi-database scans when necessary. The confidence gate and sources-searched reporting help you understand what was checked and what was skipped. Built to get you the answer fast and get out of the way.
- skills.sh installs
- 7K
- GitHub stars
- 3.4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add aws/agent-toolkit-for-aws --skill finding-data-lake-assets --agent claude-codeInstalls into .claude/skills of the current project.
Files
Find Data Lake Assets
Overview
Resolves data lake asset references to concrete catalog entries. Acts as a resolver for other skills and direct user requests. Covers Glue, S3, S3 Tables, and Redshift. Optimized for low token usage — return the answer fast and get out of the way.
Constraints for parameter acquisition:
- 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
Common Tasks
You MUST execute commands using AWS MCP server tools when connected — they provide validation, sandboxed execution, and audit logging. Fall back to AWS CLI only if MCP is unavailable. You MUST explain each step before executing.
1. Verify Dependencies
Check for required tools and AWS access before searching.
Constraints:
Sponsors
Details
- Repository
- github.com/aws/agent-toolkit-for-aws
- Categories
- AI & Agent Building, Data Science & ML, Cloud & Infrastructure
- First seen
- Jun 3, 2026
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