gsd-profile-user

Generate developer behavioral profiles and personalized Claude artifacts from session analysis or questionnaires.

Updated Apr 3, 2026
One-click install
npx skills add https://github.com/GenproMM/MMLab_TOOLS --skill gsd-profile-user-genpromm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gsd-profile-user
Source: https://github.com/GenproMM/MMLab_TOOLS/tree/main/.claude/skills/gsd-profile-user
Command: npx skills add https://github.com/GenproMM/MMLab_TOOLS --skill gsd-profile-user-genpromm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of generating developer behavioral profiles and creating Claude-discoverable artifacts, ensuring personalized responses in AI interactions.

Core Features & Use Cases

  • Behavioral Profiling: Generate a developer behavioral profile from session analysis or a questionnaire.
  • Artifact Creation: Produce personalized artifacts like USER-PROFILE.md, /gsd-dev-preferences, and CLAUDE.md sections.
  • Use Case: Enhance the effectiveness of AI responses by providing detailed profiles of developers' preferences and behaviors.

Quick Start

Generate a behavioral profile for a developer and create personalized Claude artifacts using the 'gsd-profile-user' skill.

Frequently Asked Questions about gsd-profile-user

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a developer profile for personalized AI interactions?

Developer profiling generates personalized artifacts like USER-PROFILE.md by integrating session analysis and questionnaire responses to capture your coding preferences. This allows Claude AI to tailor its responses to your specific behavioral patterns and development style.

What is behavioral analysis for developer preferences in Claude AI?

Behavioral analysis for developer preferences examines your coding sessions to build a personalized behavioral profile. This profile is then used to generate artifacts that guide Claude AI interactions, ensuring responses align with your established development patterns and tooling choices.

Can I use questionnaire responses to generate a CLAUDE.md profile section?

Yes, questionnaire responses can be used to generate personalized CLAUDE.md sections and other developer preference artifacts. The skill processes your answers to create Claude-discoverable files that automatically configure AI interactions according to your specified preferences.

What files do I need to set up before generating developer preference artifacts?

You need to establish workflows for profile creation and interaction with Claude's UI branding documentation before generating developer preference artifacts. No external dependencies are required, but providing session logs or completing questionnaires supplies the necessary behavioral data for accurate profiling.

Does developer profiling work with existing CLAUDE.md configurations?

Developer profiling works alongside existing configurations by generating dedicated CLAUDE.md sections and a /gsd-dev-preferences directory. These artifacts are designed to be Claude-discoverable, supplementing your current setup rather than overwriting existing project instructions.

What are the limitations of AI personalization through session analysis?

AI personalization through session analysis is limited by the quality and scope of the session data or questionnaire inputs provided. The resulting behavioral profile relies on integrating these inputs, meaning incomplete or unrepresentative coding sessions will produce less accurate developer preference artifacts.