How is the user journey stage determined?

It uses a heuristic classifier that analyzes query keywords to map users to progressive stages: exploring, comparing, deciding, or supporting.

Can I use this for long-term user profiles?

No, this skill is specifically designed for ephemeral session context with a 1-hour default TTL. Persistent user data should still be stored in a primary database.

How does this handle browser storage limits?

It automatically caps the query history to a default of 10 entries and provides a Context ID method for data transfers over 2KB to prevent sessionStorage failures.

Does it work across different pages?

Yes, it uses two methods for propagation: inline URL encoding for small contexts and server-side KV IDs for larger data sets, ensuring context follows the user.

Session Context Tracker

Name: Session Context Tracker
Author: paolomoz

bypaolomoz

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Productivity & Workflow

Manages multi-turn user session context using a hybrid client-side sessionStorage and server-side KV caching architecture.

The Session Context skill enables Claude to maintain sophisticated conversation state and user journey tracking across multiple interactions and page views. By combining the immediate accessibility of browser sessionStorage with the persistence of server-side Key-Value (KV) storage, it facilitates complex workflows such as recommendation engines, multi-step query history, and intent-based journey mapping—from exploration to decision-making—without requiring a traditional heavy database. This skill is ideal for developers building conversational interfaces that need to remember previous context while maintaining high performance and data durability across a user's browsing session.

Key Features

012 GitHub stars

02Context propagation between pages via URL encoding or unique KV identifiers

03Smart history management with configurable query caps and TTL-based expiration

04Hybrid storage model combining browser sessionStorage and server-side KV caching

05Automated journey stage classification (exploring, comparing, deciding, supporting)

06Heuristic-based intent detection to track user progression over time

Use Cases

01Building conversational AI interfaces that remember previous user queries

02Implementing e-commerce journey tracking to provide personalized product recommendations

03Passing user state across different pages or micro-frontends without a central database

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add paolomoz/skills session-context

For use in Claude.ai and ChatGPT