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csv-workbench

✓ Official★ 3,300

by openai · part of openai/openai-agents-js

Analyze CSV files in /mnt/data and return concise numeric summaries.

🔥🔥🔥✓ VerifiedFreeQuick setup
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🧩 One of 7 skills in the openai/openai-agents-js package — works on its own, and pairs well with its siblings.

This is the playbook your agent receives when the skill activates — you don't need to read it to use the skill, but it's here to audit before installing.

name: csv-workbench description: Analyze CSV files in /mnt/data and return concise numeric summaries.

CSV Workbench

Use this skill when the user asks for quick analysis of tabular data.

Workflow

  1. Inspect the CSV schema first (head, python csv.DictReader, or both).
  2. Compute requested aggregates with a short Python script.
  3. Return concise results with concrete numbers and units when available.

Constraints

  • Prefer Python stdlib for portability.
  • If data is missing or malformed, state assumptions clearly.
  • Keep the final answer short and actionable.