Analytics Data Analysis

What it does

When your agent uses it

• Performing exploratory data analysis
• Building data pipelines
• Creating statistical visualizations
• Writing Jupyter notebooks

Example prompts

• “/analytics-data-analysis”

Requirements

• Python 3

Workflow steps

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

1. 1Load and inspect — Read data with pd.read_csv() or appropriate loader, check .shape, .dtypes, .describe(), and .isnull().sum()
2. 2Clean and transform — Handle missing values, fix dtypes, rename columns, filter outliers using vectorized pandas operations
3. 3Explore relationships — Use .groupby(), .corr(), and cross-tabulations to identify patterns
4. 4Visualize findings — Create targeted plots with matplotlib/seaborn; label axes, add titles, use colorblind-friendly palettes
5. 5Validate results — Run statistical tests, report confidence intervals, verify assumptions
6. 6Document and share — Structure notebook with markdown sections, clear outputs before sharing, pin dependencies

What it can do on your machine

Read from SKILL.md and the folder at commit 9718410. 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

  No scripts in the folder and no shell commands in SKILL.md (its code samples are 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

Analytics Data Analysis loads about 1.6k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 615 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~91

When it runs · the whole SKILL.md, loaded when a task matches

~1.6k

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

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from Mindrally/skills at commit 9718410, republished under its Apache-2.0 licence (© Mindrally). 615 words, ~1,615 tokens.

name

analytics-data-analysis

description

Best practices for analytics, data analysis, and visualization using Python, pandas, matplotlib, seaborn, and Jupyter notebooks. Use when performing exploratory data analysis, building data pipelines, creating statistical visualizations, writing Jupyter notebooks, cleaning and transforming datasets, or implementing analytics dashboards.

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

# Load and inspect
df = pd.read_csv("data.csv", parse_dates=["timestamp"])
print(f"Shape: {df.shape}, Missing: {df.isnull().sum().sum()}")

# Clean: drop rows missing target, fill numeric gaps with median
df = (
    df.dropna(subset=["revenue"])
    .assign(category=lambda x: x["category"].astype("category"))
    .fillna(df.select_dtypes("number").median())
)

# Analyze: revenue by category
summary = df.groupby("category")["revenue"].agg(["mean", "median", "std"])

# Visualize
fig, ax = plt.subplots(figsize=(10, 6))
sns.boxplot(data=df, x="category", y="revenue", palette="colorblind", ax=ax)
ax.set_title("Revenue Distribution by Category")
ax.set_ylabel("Revenue ($)")
plt.tight_layout()
plt.savefig("revenue_by_category.png", dpi=150)
plt.show()

© Mindrally, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in analytics-data-analysis of Mindrally/skills.

Open the folder on GitHubat commit 9718410