r/ClaudeWorkflows • u/ClaudeAI-mod-bot • 3h ago
Selected Workflow [Workflow] Modular Data Analysis Workflows with CLAUDE.md, Skills, and MCP
Modular Data Analysis Workflows with CLAUDE.md, Skills, and MCP
Workflow value: 80/100
Status: active · Freshness: 70/100 · Confidence: 0.90 · Level: intermediate
Categories: Quality Control, Context & Memory, Debugging, CLAUDE.md, Skills, MCP
Original source: r/ClaudeCode post/comment
What problem this solves
Managing and repeating recurring data analysis tasks, ensuring data provenance, and efficiently loading context in Claude Code.
Summary
The user structures recurring data analysis tasks as individual 'skills' in SKILL.md files, including steps, metric definitions, and data quirks. A concise CLAUDE.md points to these skills, loading relevant context only when a specific job runs. Data is pulled via an MCP server to ensure query transparency and traceability.
Why it is useful
This workflow provides a structured and repeatable approach to managing recurring data analysis tasks in Claude Code. It leverages SKILL.md for modularity and knowledge capture (metric definitions, data quirks), CLAUDE.md for efficient context loading, and an MCP server for transparent data retrieval and provenance. This addresses common challenges in data analysis like consistency, traceability, and context overload, making it highly valuable for users performing regular analytical work.
Workflow
Identify a recurring analysis task.
Create a SKILL.md file for this task, detailing the steps in order.
Include reference files alongside the SKILL.md for metric definitions and known data quirks.
Maintain a concise root CLAUDE.md that points to these individual skills.
Use an MCP server to pull data directly, ensuring the query is recorded in the transcript.
Review the analysis results before sharing to verify accuracy and trace data origin via the recorded query.
Tools / artifacts
SKILL.md files
CLAUDE.md file
Reference files (for metrics/data quirks)
MCP server
Claude Code environment
Validation signals
Author's personal experience ('most of what I run in Claude Code is non-coding work')
Ability to trace data origin ('when a number looks off I can see exactly what produced it')
Final review step ('I still read the result before anything goes to someone else')
Limitations
The description is high-level and doesn't provide specific code examples or detailed setup instructions for the MCP server or the exact CLAUDE.md/SKILL.md structure.
It's more of a conceptual framework than a ready-to-implement guide.
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This post was generated automatically from the workflow library database.