data-quality-check
EMBEDDED — Validates data completeness and consistency before analysis.
Skill by Amar1404
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/amar1404-data-quality-check
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 cases: data
Reviews
Write a reviewNo 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-quality-check
What's inside
- Skill name
data-quality-check- Description
- EMBEDDED — Validates data completeness and consistency before analysis. This functionality is built into the ask-question and run-analysis skill. Do NOT invoke data-quality-check separately — use ask-question and run-analysis instead, which includes these instructions inline.
- License
- MIT
- Instructions
- 9 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# data-quality-check This skill's core functionality has been absorbed into **ask-question and run-analysis**. When ask-question and run-analysis triggers, it automatically handles what data-quality-check used to do. Do not invoke this skill directly. Use ask-question and run-analysis instead.
From Amar1404/AI_ANALYST, MIT.
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- 0.502score
ask-question
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Use this skill for any data question, analytical request, or metric inquiry — it is the entry point for data work.
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Compare metrics, findings, and patterns across two or more connected datasets.
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deep-profile
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Deep-profile the active dataset to understand schema structure, value distributions, temporal patterns, correlations, completeness gaps, and anomalies.
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
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Define any metric clearly and completely using a standardized template so there is no ambiguity about what is being measured, how it's calculated, or how to…
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design-experiment
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Design a controlled experiment (A/B test, multivariate test, or quasi-experiment) with clear hypothesis, success metrics, sample size, and statistical power.
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Generate time-series forecasts for key metrics using statistical methods.
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Triggers on "export", "share", "send to Slack", "make a deck", "/export".
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 15, 2026 (5 months ago)
- Last release
- Jul 8, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Amar1404/AI_ANALYST
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Amar1404
- 0.502score
architect
Amar1404
Run the multi-persona planning methodology to produce a master plan for a new project or feature.
SkillCFreshness: C★ 1Claude Code +9 - 0.502score
ask-question
Amar1404
Use this skill for any data question, analytical request, or metric inquiry — it is the entry point for data work.
SkillCFreshness: C★ 1Claude Code +9 - 0.501score
connect-data
Amar1404
Triggers on "connect", "add data source", "link database", "/connect-data", "/datasets".
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
business-context
Amar1404
Interactive browser for your organization's knowledge system.
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
compare-datasets
Amar1404
Compare metrics, findings, and patterns across two or more connected datasets.
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
deep-profile
Amar1404
Deep-profile the active dataset to understand schema structure, value distributions, temporal patterns, correlations, completeness gaps, and anomalies.
SkillCFreshness: C★ 1Claude Code +9
Cite this page
data-quality-check skill. Agent Mart. https://agentmart.dev/skills/amar1404-data-quality-check (last updated 2026-10-24)