EasyGlobe Skills
Data & Analysis Skills Hub
A shared data & analysis category page for Claude Skills, Codex Skills, Gemini Skills, Kimi Skills, GLM Skills, and team workflows.
How to choose
Review the agents and workflows covered by this category, then open a skill detail page to check task boundaries, README notes, setup requirements, and expected outputs.
How To Use This Skill
Use this category to organize agent-ready skills for data cleaning, analysis plans, dashboards, reporting, metrics definitions, and insight generation. Each page follows the same skills template so teams can compare categories quickly and adapt the workflow to Claude, Codex, Gemini, Kimi, GLM, or internal SOPs.
Usable AI Agents and Models
Works well as
Data & Analysis Skills
Popular Data & Analysis Skills
Start with the skills in this Data & Analysis category that are easiest to evaluate first. Each detail page includes a download link, the original Skill URL, and notes for adapting the workflow to Claude, Codex, Gemini, Kimi, GLM, or a team SOP.
Archify Skill
Generate architecture, workflow, sequence, data-flow, and lifecycle diagrams as self-contained HTML with SVG graphics, theme switching, and PNG, JPEG, WebP, or SVG export.
Use for Architecture diagrams, SVG, Data flow tasks that should become a reusable agent workflow.
Draw.io Skill Skill
Create editable Draw.io diagrams for architecture, UML, SysML, BPMN, networks, infrastructure, machine-learning models, and mind maps, with local PNG, SVG, PDF, and JPG export.
Use for Draw.io, UML, BPMN tasks that should become a reusable agent workflow.
Serenity Skill Skill
Source-backed investment-research workflow for finding supply-chain bottlenecks, mapping technology value chains, screening A-share, Hong Kong, and US stocks, and stress-testing theses without executing trades.
Use for Investment research, Supply chain, Stock screening tasks that should become a reusable agent workflow.
Curated Skill Resources
Useful Skill, MCP, Agent, and finance API resources imported from the FynnZhang designer tool library and manual curation.
Generate architecture, workflow, sequence, data-flow, and lifecycle diagrams as self-contained HTML with SVG graphics, theme switching, and PNG, JPEG, WebP, or SVG export.
Create editable Draw.io diagrams for architecture, UML, SysML, BPMN, networks, infrastructure, machine-learning models, and mind maps, with local PNG, SVG, PDF, and JPG export.
Source-backed investment-research workflow for finding supply-chain bottlenecks, mapping technology value chains, screening A-share, Hong Kong, and US stocks, and stress-testing theses without executing trades.
AI-ready PageSpeed Insights and Lighthouse CLI for Core Web Vitals audits, performance fixes, SEO optimization, and before/after verification.
Developing Gemini-powered apps on Google Cloud Vertex AI using the Gen AI SDK
Build sandboxed applications for secure, isolated code execution on Workers
Search and extract data from Burp Suite project files
Deploy apps to Cloudflare using Workers, Pages, and platform services
Manages datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data analytics and AI-driven insights.
Core Workflows
Context and input setup
Define the source material, constraints, goal, expected output, and quality bar for data & analysis work.
Agent execution workflow
Run the task through Claude Skills, Codex Skills, Gemini Skills, Kimi Skills, GLM Skills, or another agent with clear checkpoints.
Review and reusable handoff
Package the result into a checklist, reusable prompt, operating note, or implementation handoff.
Typical Outputs
Frequently Asked Questions
Can Data & Analysis skills be used with Claude, Codex, Gemini, Kimi, and GLM?
Yes. The category is written as a model-flexible skills hub entry, so the same workflow can become a Claude Skill, Codex Skill, Gemini Skill, Kimi Skill, GLM Skill, or team SOP.
Why use one template for every category page?
A shared template makes the directory easier to scan: every category shows supported agents, core workflow steps, expected outputs, and FAQs in the same structure.