KS
Killer-Skills

start-session — how to use start-session how to use start-session, start-session alternative, start-session setup guide, what is start-session, start-session vs other learning modules, installing start-session, Claude Code AI tutoring integration, Jeopardy game project for Python learning

v1.0.0
GitHub

About this Skill

Ideal for Interactive Learning Agents seeking to integrate AI tutoring with Claude Code and Python-based project management. start-session is a Python learning module that utilizes AI tutoring and game-based projects to enhance learning outcomes for R users.

Features

Reads progress.json to determine current learning state
Utilizes session_log.md to track learning progress
Checks for concepts due for review based on last_practiced timestamp
Displays quick review questions from quiz_bank.md
Suggests next learning modules based on meta.current_module
Updates meta.last_session timestamp in progress.json

# Core Topics

tcole333 tcole333
[0]
[0]
Updated: 3/6/2026

Quality Score

Top 5%
38
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add tcole333/python-learning-module/start-session

Agent Capability Analysis

The start-session MCP Server by tcole333 is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use start-session, start-session alternative, start-session setup guide.

Ideal Agent Persona

Ideal for Interactive Learning Agents seeking to integrate AI tutoring with Claude Code and Python-based project management.

Core Value

Empowers agents to manage interactive learning sessions by reading progress from `progress.json`, suggesting review questions from `quiz_bank.md`, and updating session timestamps, leveraging Python and Markdown file formats for seamless integration.

Capabilities Granted for start-session MCP Server

Initializing personalized learning paths based on `meta.current_module`
Generating quick review questions for concepts due for review
Updating learner progress in `progress.json` for continuous tracking

! Prerequisites & Limits

  • Requires access to `progress.json` and `session_log.md` files
  • Dependent on Claude Code integration for AI tutoring capabilities
  • Python environment necessary for execution
Project
SKILL.md
400 B
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

[No tags]
SKILL.md
Readonly

Start Learning Session

Instructions

  1. Read progress.json to get current state
  2. Read session_log.md to see where we left off
  3. Check for concepts due for review (last_practiced > 3 days ago)
  4. Show 1-2 quick review questions from quiz_bank.md if concepts are due
  5. Suggest what to work on next based on meta.current_module
  6. Update meta.last_session timestamp in progress.json

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