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gsd-profile-user

Generate developer behavioral profiles and Claude-discoverable artifacts from session or questionnaire data.

Updated May 3, 2026
Search Tags:#developer profiling#artifact creation#behavioral analysis#AI personalization#team profiling
One-click install
npx skills add https://github.com/ThiagoVitale/endless-crystal --skill gsd-profile-user-thiagovitale
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gsd-profile-user
Source: https://github.com/ThiagoVitale/endless-crystal/tree/main/.codex/skills/gsd-profile-user
Command: npx skills add https://github.com/ThiagoVitale/endless-crystal --skill gsd-profile-user-thiagovitale

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the generation of developer behavioral profiles and creates Claude-discoverable artifacts, streamlining the process of personalizing agent responses.

Core Features & Use Cases

  • Behavioral Profile Generation: Analyze session data or use a questionnaire to create detailed developer profiles.
  • Artifact Creation: Produce personalized artifacts like USER-PROFILE.md, dev-preferences, and AGENTS.md sections.
  • Use Case: Imagine you need to personalize an AI agent's responses for a developer team. Use this Skill to generate a behavioral profile and create artifacts that guide the AI's interaction.

Quick Start

Invoke the gsd-profile-user skill to start the profiling process and generate artifacts for the team.

Frequently Asked Questions about gsd-profile-user

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

FAQPage Schema
How do I automate developer behavioral profiling for AI personalization?▼

Developer behavioral profiling is automated by analyzing session data or using questionnaires to generate detailed developer profiles. This process handles consent gates, session scanning, and data sufficiency checks to create accurate behavioral artifacts.

What is the best way to generate Claude-discoverable artifacts for team profiling?▼

Generating Claude-discoverable artifacts involves producing personalized files like USER-PROFILE.md, dev-preferences, and AGENTS.md sections. These artifacts guide AI interactions by capturing individual developer behaviors and team preferences.

Can I create developer profiles from session analysis without manual questionnaires?▼

Yes, developer profiles can be created directly from session analysis data. The system performs session scanning and data sufficiency checks to ensure enough behavioral information exists before generating the profile artifacts.

Do I need reference materials and workflows to generate accurate developer profiles?▼

Yes, workflows and reference materials are required for accurate developer profiling. The system relies on these structured inputs to process session data or questionnaire responses and generate meaningful behavioral artifacts.

How does consent handling work during behavioral profile generation?▼

Consent handling works by implementing consent gates within the profiling workflow. These gates ensure user permission is verified before scanning sessions or generating behavioral artifacts from personal developer data.

When should I not use automated session scanning for developer profiling?▼

Automated session scanning should not be used when session data is insufficient for behavioral analysis. The system performs data sufficiency checks and will not generate artifacts if the available session information is inadequate.

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