Agent skill

Data Visualization Analysis

by Drchronx in Drchronx/ai-agent-research-starter-kit

对CSV/Excel数据进行全面的统计描述、相关性分析和可视化;当用户需要数据分析、数据探索、统计摘要、特征分布分析或相关性分析时使用

Custom licenceAuto-check passedDocuments & Office

Install Data Visualization Analysis

skills CLI
$ npx skills add Drchronx/ai-agent-research-starter-kit --skill data-visualization-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Drchronx/ai-agent-research-starter-kit data-visualization-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'综合学术部署包/04_数据采集整合与实证Skills/data-visualization-analysis' .claude/skills/data-visualization-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
data-visualization-analysis
GitHub stars
134
Token cost
~621 tokens
SKILL.md length
84 words
Files
4 (incl. scripts, references)
Skills in repo
53
Repo updated
First seen
Licence
Custom licence

At a glance

对CSV/Excel数据进行全面的统计描述、相关性分析和可视化;当用户需要数据分析、数据探索、统计摘要、特征分布分析或相关性分析时使用

  • Works in 6 steps: 调用脚本执行分析 → 在浏览器中打开 analysis_report.html 查看完整报告 → 读取HTML报告中的统计表格和可视化图表 → …
  • Tasks that involve Excel spreadsheets
  • SKILL.md covers 任务目标, 前置准备, 操作步骤 and 资源索引, plus 2 more sections
  • Runs Python scripts from its folder; calls python

What it does

Data Visualization Analysis is an agent skill from Drchronx/ai-agent-research-starter-kit. 对CSV/Excel数据进行全面的统计描述、相关性分析和可视化;当用户需要数据分析、数据探索、统计摘要、特征分布分析或相关性分析时使用

Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/input_format.md`, `references/output_description.md` and `scripts/analyze_data.py`).

It sits in Documents & Office, covering Excel spreadsheets, Data visualization and CSV and tabular files. It works with Microsoft Excel. The repository describes itself as: AI Agent 科研全流程教学包,能教学生从零部署 Codex、Claude Code、OpenClaw、Hermes 等 Agent,学会使用 Skills、飞书、AMiner、AI4Scholar、Zotero、Obsidian…

When your agent uses it

  • Tasks that involve Excel spreadsheets
  • Tasks that involve Data visualization
  • Tasks that involve CSV and tabular files

Example prompts

  • “/data-visualization-analysis”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. 调用脚本执行分析
  2. 在浏览器中打开 analysis_report.html 查看完整报告
  3. 读取HTML报告中的统计表格和可视化图表
  4. 分析相关性热力图识别相关特征
  5. 检查特征分布图理解数据分布特征
  6. 综合所有信息向用户提供业务洞察

What it can do on your machine

Read from SKILL.md and the folder at commit aab1133. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Data Visualization Analysis loads about 621 tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 24 tokens; SKILL.md has 84 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~621
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 84 words (~621 tokens).

name
data-visualization-analysis
dependency.python
pandas>=2.0.0, numpy>=1.24.0, matplotlib>=3.7.0, seaborn>=0.12.0, openpyxl>=3.1.0

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (scripts, references) in 综合学术部署包/04_数据采集整合与实证Skills/data-visualization-analysis of Drchronx/ai-agent-research-starter-kit.

  • SKILL.md
  • references/input_format.md
  • references/output_description.md
  • scripts/analyze_data.py

Open the folder on GitHubat commit aab1133

Compare with similar skills

Data Visualization Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Data Visualization Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Data Visualization Analysis this skillDrchronx/ai-agent-research-starter-kit134—~621Automated safety check: PassCustom licence
Sn Da Image CaptionMichaelYang-lyx/AIDABench1111 repos~2kAutomated safety check: PassNone
Publication Chart SkillGalaxy-Dawn/claude-scholar5.7k1 repos~3.3kAutomated safety check: PassMIT
Officecli Data DashboardFerroxLabs/wayland6084 repos~9.2kAutomated safety check: PassAGPL-3.0
Tabular Cleanupgaasher/Agent-Loop-Skills174—~4kAutomated safety check: PassMIT
Pie Chart Data AnalysisMichaelYang-lyx/AIDABench1111 repos~964Automated safety check: PassNone

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Works with

Questions about Data Visualization Analysis

What does Data Visualization Analysis do?

对CSV/Excel数据进行全面的统计描述、相关性分析和可视化;当用户需要数据分析、数据探索、统计摘要、特征分布分析或相关性分析时使用. Data Visualization Analysis is an agent skill from Drchronx/ai-agent-research-starter-kit.

When should I use Data Visualization Analysis?

Data Visualization Analysis fits situations like: tasks that involve Excel spreadsheets; tasks that involve Data visualization; tasks that involve CSV and tabular files.

How do I install Data Visualization Analysis in Claude Code?

Run `npx skills add Drchronx/ai-agent-research-starter-kit --skill data-visualization-analysis -a claude-code`. Or copy the skill folder (综合学术部署包/04_数据采集整合与实证Skills/data-visualization-analysis in Drchronx/ai-agent-research-starter-kit) into .claude/skills/data-visualization-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Data Visualization Analysis in Codex?

Run `npx skills add Drchronx/ai-agent-research-starter-kit --skill data-visualization-analysis -a codex`. Or copy the skill folder (综合学术部署包/04_数据采集整合与实证Skills/data-visualization-analysis in Drchronx/ai-agent-research-starter-kit) into .agents/skills/data-visualization-analysis in your project. Codex loads it when a task matches its description.

Can I use Data Visualization Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Drchronx/ai-agent-research-starter-kit --skill data-visualization-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-visualization-analysis, .gemini/skills/data-visualization-analysis, .github/skills/data-visualization-analysis and .opencode/skills/data-visualization-analysis in your project.

What does Data Visualization Analysis need to run?

Going by SKILL.md and its folder, Data Visualization Analysis needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Data Visualization Analysis access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Data Visualization Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Data Visualization Analysis use?

Data Visualization Analysis has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Data Visualization Analysis use?

About 621 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2k tokens, read only when the agent opens those files.

What are the alternatives to Data Visualization Analysis?

Skills that share tags, products or a category with Data Visualization Analysis: Sn Da Image Caption (MichaelYang-lyx/AIDABench, 111 stars), Publication Chart Skill (Galaxy-Dawn/claude-scholar, 5.7k stars), Officecli Data Dashboard (FerroxLabs/wayland, 608 stars) and Tabular Cleanup (gaasher/Agent-Loop-Skills, 174 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Data Visualization Analysis?

Drchronx (a GitHub user) maintains it in Drchronx/ai-agent-research-starter-kit, which has 134 GitHub stars. The repository holds 53 skills in this directory. The repository was last updated on May 19, 2026.

Source: Drchronx/ai-agent-research-starter-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.