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analyze Skill

AI Agent SkillPythonOpen source

Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders. Published by anthropics in knowledge-work-plugins.

What is analyze Skill?

Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders. Published by anthropics in knowledge-work-plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use analyze Skill

  • Use it for data analysis.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: anthropics
  • Repository: anthropics/knowledge-work-plugins
  • Skill file: data/skills/analyze/SKILL.md

What it does

Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders.

Skill instructions

/analyze - Answer Data Questions If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md. Answer a data question, from a quick lookup to a full analysis to a formal report. Usage /analyze <natural language question Workflow 1. Understand the Question Parse the user's question and determine: - Complexity level: - Quick answer: Single metric, simple filter, factual lookup (e.g., "How many users signed up last week?") - Full analysis: Multi-dimensional exploration, trend analysis, comparison (e.g., "What's driving the drop in conversion rate?") - Formal report: Comprehensive investigation with methodology, caveats, and recommendations (e.g., "Prepare a quarterly business review of our subscription metrics") - Data requirements: Which tables, metrics, dimensions, and time ranges are needed - Output format: Number, table, chart, narrative, or combination 2. Gather Data If a data warehouse MCP server is connected: 1. Explore the schema to find relevan

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Frequently asked questions

What is analyze?

analyze is a open-source AI agent skill with Copy skill directory. Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report.

Who is analyze best for?

analyze is best for reusing agent instructions, scripts, and references, data analysis workflows.

How do I install analyze?

Install or run analyze using Copy skill directory. Check analyze for the latest setup command.

Is analyze actively maintained?

analyze may need a closer maintenance check before production use.

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Stars
22,594
Forks
2,657
Last commit
9 days ago
Repository age
6 months
License
Apache-2.0

Auto-fetched from GitHub.

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