Json data analysis

Skill cxcscmu/SkillLearnBench/skills/b1-one-shot-claude-opus-4-6/enterprise-information-search/json-data-analysis

Patterns for analyzing and outputting structured JSON answers from enterprise data queries.From its SKILL.md

Install

npx -y skills add cxcscmu/SkillLearnBench --skill json-data-analysis

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

0.8 KB, 173 tokens by cl100k_base, as published. Nobody here has run it

JSON Data Analysis and Output

Output Format

When answering questions from enterprise data, use this standard format:

{
  "q1": {"answer": ["item1", "item2"], "tokens": 123},
  "q2": {"answer": ["item1"], "tokens": 456}
}

Key Rules

Every answer is a list, even single items
Token counts are numeric values (not strings)
Employee IDs are strings like "eid_abc123"
URLs are full strings including protocol

Python Verification

import json
with open('answer.json') as f:
    data = json.load(f)
for k, v in data.items():
    assert isinstance(v['answer'], list)
    assert isinstance(v['tokens'], (int, float))

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.