Data analyst
Skill AtulPurohit/Antigravity-Awesome-Skills/skills/data-analyst
Installable GitHub library of 300+ professional agentic skills for Claude Code, Antigravity IDE, Gemini CLI, Cursor, and Copilot. Features a custom NPX installer, 9 stack-specific bundles, validation schemas, security auditing, and an interactive catalog explorer app.
npx -y skills add AtulPurohit/Antigravity-Awesome-Skills --skill data-analystAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
3 things to look at
- 26 days oldThe repository was created 26 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
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What its author says it does
Copied from the file, not written here
Professional Data Analyst skill. Design and maintain secure, optimized, and performant databases and data storage solutions.
SKILL.md
1.3 KB, as published. Nobody here has run it
Data Analyst
Purpose
Manage and implement Data Analyst requirements efficiently within enterprise applications.
Core Concepts
Detailed operational framework for Data Analyst:
1️⃣ Overview and Strategy
Understanding boundaries, rules, and best practices for the data-analyst feature domain.
2️⃣ Code Implementation Reference
-- Database Schema Query
SELECT column_name, data_type
FROM information_schema.columns
WHERE table_name = 'users';
3️⃣ Checklist & Validation Rules
- Integration validation checklist completed.
- Code conventions and naming rules followed.
- Strict type safety constraints verified.
- Security standards checked.
Outputs
- System integration pattern definitions.
- Code templates and examples.
- Test validation checklists.
Gives 0 of the 12 instructions most data analysis skills give
Counted across 286 of the 286 authors here whose files we hold, read 2026-08-06
- use excel formulas instead of hardcoded calculated valuesin 35 of 286, across 7 files
- match existing template conventions when modifying filesin 35 of 286, across 7 files
- document sources for all hardcoded valuesin 35 of 286, across 7 files
- write minimal concise python codein 35 of 286, across 7 files
- place all assumptions in separate assumption cellsin 32 of 286, across 5 files
- apply industry-standard color coding to financial modelsin 31 of 286, across 5 files
- format years as text stringsin 30 of 286, across 3 files
- recalculate formulas using recalc.py after modificationsin 30 of 286, across 3 files
- format negative numbers using parenthesesin 30 of 286, across 3 files
- fix all identified formula errors before finishingin 27 of 286, across 1 file
- use colorblind-safe palettesin 19 of 286, across 12 files
- Name tests after the prevented bugin 13 of 286, across 8 files
Said here and by no other author read
- complete the integration validation checklist
- follow code conventions and naming rules
- verify strict type safety constraints
- check security standards
- produce system integration pattern definitions
- produce code templates and examples
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once.