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Index of Build Systems Skills
Coordination patterns for distributed dataflow systems including barriers, epochs, and distributed snapshots
Windowing, sessionization, time-series aggregation, and late data handling for streaming systems
Based on SOC occupation classification
Showing SKILL.md
| name | data-analyzer |
| description | 数据分析工具，使用 pandas 进行数据统计分析。当用户需要对数据进行统计分析、计算均值、求和、描述性统计时使用。 |
| license | MIT |
| compatibility | Requires Python 3.x with pandas and numpy |
| metadata | {"author":"skillLite","version":"1.0"} |
使用 pandas 进行数据统计分析的技能。
describe - 描述性统计（均值、标准差、最小值、最大值等）mean - 计算数值列均值sum - 计算数值列求和count - 统计行数和列信息{
"data": "[{\"name\": \"Alice\", \"age\": 25, \"score\": 85}, {\"name\": \"Bob\", \"age\": 30, \"score\": 92}]",
"operation": "describe"
}
{
"data": "[{\"value\": 10}, {\"value\": 20}, {\"value\": 30}]",
"operation": "mean"
}
entry_point: scripts/main.py
language: python
dependencies:
- pandas>=2.0.0
- numpy>=1.24.0
input_schema:
type: object
properties:
data:
type: string
description: "JSON 格式的数据，如: [{\"name\": \"Alice\", \"age\": 25}, {\"name\": \"Bob\", \"age\": 30}]"
operation:
type: string
description: 分析操作类型
enum:
- describe
- mean
- sum
- count
default: describe
required:
- data