excel-bar-chart-visualization SKILL.md skillA
excel-bar-chart-visualization 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/excel-bar-chart-visualization@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-visualization/bar-chart-visualization/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260426.f0ab496, committed Apr 26, 2026
- Size
- 4,668 bytes
- Repository stars
- 6,031
- License
- MIT
读取多工作表Excel文件，自动处理合并单元格与数据清洗，进行交叉分组统计并生成带总计行的结果表，最后绘制支持中英文字体的美化柱状图，适用于多维度数据汇总与可视化分析。.
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
## Skill Steps
> This sub-skill covers one capability of the Excel workflow. For reading/counting/Parquet optimization, see the parent workflow SKILL.md.
### Step1: 数据合并与清洗
```python
combined_df = pd.concat(data_frames, ignore_index=True)
# 数据清洗：使用正则表达式统一命名
if '题型' in combined_df.columns:
combined_df['题型'] = combined_df['题型'].astype(str).str.replace('判', '判断题', regex=False)
# 处理合并单元格技巧1：前向填充
if '流程描述' in combined_df.columns:
combined_df['流程描述'] = combined_df['流程描述'].fillna(method='ffill')
# 处理合并单元格技巧2：通过逻辑判断与手动映射还原完整名称
group_col = '项目阶段'
target_col = '控制要点'
if group_col in combined_df.columns and target_col in combined_df.columns:
project_stages, control_points = [], []
current_stage = None
for _, row in combined_df.iterrows():
stage = row[group_col]
point = row[target_col]
if pd.notna(point) and point != target_col:
if pd.notna(stage):
current_stage = stage
project_stages.append(current_stage)
control_points.append(point)
combined_df = pd.DataFrame({
group_col: project_stages,
target_col: control_points
})
```
### Step2: 交叉分析与分类映射
```python
# 分类映射函数骨架
…Read the whole file at its exact version.
How to install
mdr add opensensenova/sensenova-skills/excel-bar-chart-visualization@sha256:cd2a81a532a94135The 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_jx5sbh22i7vglqrs)
3 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 (4668 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_jx5sbh22i7vglqrs GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/excel-bar-chart-visualization GET https://markdownregistry.com/api/v1/blob/cd2a81a532a94135c7841d1f790c3dcf414fec2946c193ba2767901cdcfe8162
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.