trend-analysis SKILL.md skillA
trend-analysis from opensensenova/sensenova-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add opensensenova/sensenova-skills/trend-analysis@git:20260426.f0ab496Pins git:20260426.f0ab496 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- opensensenova/sensenova-skills
- Path
skills/sn-da-excel-workflow/capability/excel-data-analysis/trend-analysis/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260426.f0ab496, committed Apr 26, 2026
- Size
- 4,257 bytes
- Repository stars
- 6,031
- License
- MIT
基于多维度数据进行分级评估与趋势预测，通过设定差异化增长率计算预测值，并生成对比可视化图表，适用于绩效评估、目标设定等场景。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
Step1 加载数据并配置环境，设置中文字体以确保可视化图表正常显示。
```python
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import warnings
warnings.filterwarnings('ignore')
# 设置中文字体，优先使用 WenQuanYi Zen Hei，备选 SimHei 和 DejaVu Sans
plt.rcParams['font.sans-serif'] = ['WenQuanYi Zen Hei', 'SimHei', 'DejaVu Sans']
plt.rcParams['axes.unicode_minus'] = False
# 加载数据文件
file_path = 'your_data.xlsx'
df = pd.read_excel(file_path)
print(f"数据形状: {df.shape}")
df.head()
```
Step2 基于数据表现划分等级并设定差异化增长率，计算预测结果。
```python
# 定义通用列名
group_col = '分组列名' # 示例：'部门'、'产品线'
target_col = '目标数值列名' # 示例：'销售额'、'产量'
# 计算各维度的总值并排序
performance_data = df.groupby(group_col, as_index=False)[target_col].sum().sort_values(by=target_col, ascending=False)
# 划分等级（前30%为高，后30%为低，其余为中等）
n = len(performance_data)
high_perf_threshold = int(0.3 * n)
low_perf_threshold = int(0.7 * n)
performance_data['等级'] = '中等'
performance_data.loc[:high_perf_threshold-1, '等级'] = '高'
performance_data.loc[low_perf_threshold:, '等级'] = '低'
# 设定预测增长率映射字典
growth_rate_map = {
'高': 0.10, # 10% 增长率
'中等': 0.08, # 8% 增长率
'低': 0.15 # 15% 增长率
}
performance_data['预测增长率'] = performance_data['等级'].map(growth_rate_map)
…Read the whole file at its exact version.
How to install
mdr add opensensenova/sensenova-skills/trend-analysis@sha256:12565195014959e9The line at the top of this page pins the label git:20260426.f0ab496, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_bi2tpu5jqcluqgom)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Apr 26, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4257 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
opensensenova/sensenova-skills · 6,031 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_bi2tpu5jqcluqgom GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/trend-analysis GET https://markdownregistry.com/api/v1/blob/12565195014959e913ee26ba369bb928aec2ce37549887573a2265165ab739c5
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
More from opensensenova/sensenova-skills
Every file in opensensenova/sensenova-skills