JSON Data Analysis and Output
SkillDev toolsPatterns for analyzing and outputting structured JSON answers from enterprise data queries.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the JSON Data Analysis and Output skill
What this skill tells your AI
The instructions your AI receives, as published by cxcscmu/skilllearnbench in skills/b1-one-shot-claude-opus-4-6/enterprise-information-search/json-data-analysis/SKILL.md and read by ahel’s review.
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))
Signals
- GitHub stars
- 83
- Forks
- 5
- Last commit
- Jul 2026
Advanced
- Catalog kind
- skill
- Gateway key
json-data-analysis- Source
- github.com/cxcscmu/skilllearnbench