$npx skillfedfor your agent

Data Explore

Data Explore generates a comprehensive profile of any table or file, revealing structure, data quality issues, and patterns. It classifies columns by role, detects anomalies like high nulls and duplicates, and recommends follow-up analyses to guide your next steps.

Data Explore profiles your dataset to reveal structure, quality issues, and actionable patterns for analysis.

AI-generated summary based on this skill's SKILL.md

511 177 unlicensed, metadata onlyupdated by evolution-foundation

Decision gist · record as of 2026-05-13

Data Explore profiles your dataset to reveal structure, quality issues, and actionable patterns for analysis. Data Explore generates a comprehensive profile of any table or file, revealing structure, data quality issues, and patterns. It classifies columns by role, detects anomalies like high nulls and duplicates, and recommends follow-up analyses to guide your next steps.

manual: git clone https://github.com/evolution-foundation/evo-nexus → cp -r evo-nexus ~/.claude/skills/data-explore

Use it when

  • Data Explore lets you quickly inspect data files and samples to understand your dataset's structure and contents.
  • Yes.
Same gist for agents: .md · .json

Install

evolution-foundation/evo-nexus/data-explore · repository language: Python

generated, unverified - the skill's exact subdirectory could not be determined; check the repository on GitHub

Open directory. Skills are indexed for reading, not audited. Review a skill's body before installing it.

Frequently asked questions

AI-generated answers based on this skill's SKILL.md and metadata

What does Data Explore do?

Data Explore generates a comprehensive profile of any table or file, revealing structure, data quality issues, and patterns. It classifies columns by role, detects anomalies like high nulls and duplicates, and recommends follow-up analyses to guide your next steps.

How do I explore datasets with Data Explore?

Data Explore lets you quickly inspect data files and samples to understand your dataset's structure and contents. Upload or connect your table, and Data Explore will analyze it, classify columns by their role, and surface data quality issues so you can begin exploratory data analysis right away.

Can Data Explore help me examine data structure?

Yes. Data Explore examines data structure by profiling your entire table, classifying each column's role, and identifying anomalies such as high null counts and duplicate records. This structural analysis helps you understand what you're working with before deeper analysis.

What kind of data quality issues does Data Explore detect?

Data Explore detects anomalies including high nulls, duplicates, and other data quality patterns. By flagging these issues early, Data Explore helps you assess data reliability and plan remediation or follow-up analyses tailored to your dataset's specific problems.

Does Data Explore offer interactive data visualization?

Data Explore supports interactive navigation and visualization of your data. You can browse files, view samples, and explore patterns visually, making it easier to discover insights and spot trends without manual inspection.

What recommendations does Data Explore provide?

Data Explore recommends follow-up analyses based on the structure, quality, and patterns it discovers in your data. These recommendations guide your next analytical steps, helping you prioritize which aspects of your dataset to investigate further.

Let your AI agent find skills like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 56,283 agent skills by what they can do, searchable in plain language.

wish › “Explore and understand dataset structure and contents”

Give your agent the search over MCP, or paste the wish link into any chat. No install? Search from any chat →

Related skills

Data Validate
by evolution-foundation · evolution-foundation/evo-nexus

Data Validate reviews analyses for methodological soundness, calculation accuracy, and common analytical pitfalls before stakeholder presentation. It systematically checks data quality, spot-verifies aggregations, evaluates visualizations, and assesses whether conclusions are actually supported by the underlying data, then delivers a confidence rating and prioritized improvement suggestions.

no license declared → metadata onlyfor claude-codeupdated May 2026
★ 511repo stars
Data Write Query
by evolution-foundation · evolution-foundation/evo-nexus

Data Write Query transforms natural language descriptions into production-ready SQL, optimized for PostgreSQL and the Evolution ecosystem. It handles complex queries with CTEs, multiple joins, and aggregations while following performance best practices. Secondary dialect support includes Snowflake, BigQuery, MySQL, and DuckDB.

no license declared → metadata onlyfor claude-codeupdated May 2026
★ 511repo stars
Data Analyze
by evolution-foundation · evolution-foundation/evo-nexus

Query your workspace data sources to answer business questions at any depth. Handle quick metric lookups, multi-dimensional trend analysis, or formal reporting with built-in validation and cross-source verification. Supports Stripe, Omie, Licensing, Evo CRM, and Linear.

no license declared → metadata onlyfor claude-codeupdated May 2026
★ 511repo stars
Data Create Viz
by evolution-foundation · evolution-foundation/evo-nexus

Data Create Viz turns raw data into polished charts using Python, matplotlib, seaborn, and plotly. It handles data from workspace sources like Stripe and Omie, pasted datasets, or CSVs—then recommends the right chart type and applies the Evolution dark theme with consistent styling, proper formatting, and design best practices.

no license declared → metadata onlyfor claude-codeupdated May 2026
★ 511repo stars
Data Build Dashboard
by evolution-foundation · evolution-foundation/evo-nexus

Data Build Dashboard generates self-contained HTML files with interactive charts, filterable data, and professional styling in the Evolution theme. Open directly in your browser to monitor metrics, compare categories, and drill into details without external dependencies.

no license declared → metadata onlyfor claude-codeupdated May 2026
★ 511repo stars
Legal Vendor Check
by evolution-foundation · evolution-foundation/evo-nexus

Legal Vendor Check consolidates vendor agreements from connected systems—CRM, email, and document storage—into a single compliance view. It flags missing contracts, identifies LGPD data-handling gaps, and alerts on upcoming renewals to keep vendor relationships legally current.

no license declared → metadata onlyfor claude-codeupdated May 2026
★ 511repo stars

More skills Hr People Report (NOASSERTION) · Hr Policy Lookup (NOASSERTION) · Ops Compliance Tracking (NOASSERTION)

Tags
data-inspectionexploratory-analysisdataset-navigationinteractive-viewerdata-profiling