十分位分析
SkillAI & modelsLets your agent run decile analysis on customer data to spot high- and low-value groups.
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 十分位分析 skill
About this capability
Performs decile stratification analysis and identifies high/low-value groups (segmentation analysis)
What this skill tells your AI
The instructions your AI receives, as published by zafer-liu/data-analysis-agent in skills/decile/SKILL.md and read by ahel’s review.
确认排序指标、分析实体和方向，将有效样本等频划分为十组，报告每组样本量、指标范围、核心结果及累计贡献。标记空值和并列值处理方式，并给出可执行的分层策略。
Tool routing
- Use
get_schemato identify the entity key, ranking metric, target metric, and source table. - Use
query_datato verify field names, null handling needs, and sample distribution. - Use
run_analysiswithanalysis_name="Data_Decile_Analysis"for the decile computation. - Use
generate_charton returned decile result tables afterrun_analysissucceeds.
Implementation reference
- Tool entry:
agent/tools/business/data.py::_tool_run_analysis - Analysis registry:
Function/Analyze/registry.py - Analysis implementation:
Function/Analyze/Data_Decile_Analysis/analyze.py - Chart implementation:
Function/Charts_generation/chart_generate.py
Signals
- GitHub stars
- 3k
- Forks
- 221
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
decile- Source
- github.com/zafer-liu/data-analysis-agent