profilera

Extract decision signals from Claude Code session history and output a structured PROFILE.md.

3|Updated Mar 15, 2026

Search Tags:#Claude Code #confidence #session-analysis #decay #memory-history #profilera #decision-profile

Ready to run

npx skills add https://github.com/jgabor/agentera --skill profilera

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: profilera
Source: https://github.com/jgabor/agentera/tree/main/skills/profilera
Command: npx skills add https://github.com/jgabor/agentera --skill profilera

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Profilera reconstructs a structured decision profile from Claude Code session history, memory files, and project configurations to reveal how a user tends to decide across contexts.

Core Features & Use Cases

Extracts decision signals from memory artifacts, CLAUDE.md content, conversations, and configs.
Computes an effective profile with decay, supports Full and Validate modes, and outputs a PROFILE.md consumable by other skills.
Enables downstream planning, optimization, and introspection across Claude Code projects.

Quick Start

Tell profilera to build or refresh my decision profile from Claude Code session history.

Frequently Asked Questions about profilera

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

FAQPage Schema

How do I extract a decision profile from Claude Code session history?▼

You extract a decision profile from Claude Code session history by compiling memory artifacts, CLAUDE.md content, and project configurations to identify how you decide across contexts.

What is a decision profile and when do I need one for my project?▼

A decision profile is a structured reconstruction of your decision patterns from session history and memory files, needed when you want to introspect or optimize planning across Claude Code projects.

How do I apply decay parameters to memory history when building a profile?▼

You apply decay parameters to memory history by running Full or Validate modes, which compute an effective profile by assigning confidence and decay values to your historical decision signals.

Can I use profilera to analyze memory artifacts and CLAUDE.md content together?▼

Yes, profilera analyzes memory artifacts and CLAUDE.md content together, extracting decision signals from both to compile a unified profile that reflects your project configurations.

What's the best way to generate a PROFILE.md from Claude Code conversations?▼

The best way to generate a PROFILE.md is to run profilera, which processes conversations and history prompts to output structured inline metadata directly to the appropriate profile directory.

Why does my decision profile need confidence scoring and inline metadata?▼

Your decision profile needs confidence scoring to weight the reliability of historical signals, while inline metadata ensures the resulting PROFILE.md is consumable by downstream planning skills.