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data-analysis

Use for exploratory analysis, statistical analysis, trends, cohorts, segmentation, variance drivers, forecasting inputs, analytical visualisation or decision…

Skill by SiddheshKGupta

IndexedApache-2.0★ 4
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/siddheshkgupta-data-analysis

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Use for exploratory analysis, statistical analysis, trends, cohorts, segmentation, variance drivers, forecasting inputs, analytical visualisation or decision insights. Do not use when the primary need is a reusable ingestion or transformation pipeline.

Use cases: data

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/data-analysis

What's inside

Skill name
data-analysis
Description
Use for exploratory analysis, statistical analysis, trends, cohorts, segmentation, variance drivers, forecasting inputs, analytical visualisation or decision insights. Do not use when the primary need is a reusable ingestion or transformation pipeline.
License
Apache-2.0
Instructions
16 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Data Analysis

1. Define the decision and analytical question.
2. Confirm population, period, grain, source and exclusions.
3. Assess completeness, bias, missing values, outliers and data quality.
4. Select methods appropriate to the data and question.
5. Separate description, inference, correlation and causation.
6. Show absolute values, denominators and uncertainty.
7. Segment results where aggregates hide material differences.
8. Choose tables or charts based on the decision—not decoration.
9. Make calculations reproducible and traceable.
10. State limitations and what additional evidence would change the conclusion.

An insight without source, method and implication is incomplete.

From SiddheshKGupta/Escapement, Apache-2.0.

More from SiddheshKGupta/Escapement

Signals

Stars
4
Forks
1
Open issues
0
Last commit (this folder)
Aug 5, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from SiddheshKGupta

Cite this page

data-analysis skill. Agent Mart. https://agentmart.dev/skills/siddheshkgupta-data-analysis (last updated 2026-10-24)