record-session

Automate session recording and task archiving post-code commit with Python scripts.

Updated Mar 10, 2026
One-click install
npx skills add https://github.com/tduck1equack/Web-Technology-Project --skill record-session-tduck1equack
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: record-session
Source: https://github.com/tduck1equack/Web-Technology-Project/tree/main/.agents/skills/record-session
Command: npx skills add https://github.com/tduck1equack/Web-Technology-Project --skill record-session-tduck1equack

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Manages session recording for code commits post-testing and verification, eliminating manual session tracking and reducing human error.

Core Features & Use Cases

  • Session Archiving: Automates the archiving of completed tasks based on code commit and acceptance criteria.
  • Session Addition: Allows for easy addition of new sessions with minimal parameters or detailed summaries.
  • Integration: Seamlessly integrates with existing development workflows for efficient post-commit session management.
  • Use Case: After verifying and committing code, the skill can be used to record a session with a single command, automatically archiving tasks and updating session metadata.

Quick Start

Run 'python3 ./.trellis/scripts/add_session.py --title "Your Session Title" --commit "commit_hash"' to record your session.

Frequently Asked Questions about record-session

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

FAQPage Schema
How do I automate session recording after a code commit?

To automate session recording post-commit, you execute a Python script passing a session title and the specific commit hash. This eliminates manual tracking by automatically archiving completed tasks based on version control status.

What is post-commit task archiving in software development workflows?

Post-commit task archiving automatically records completed development sessions by integrating with version control. It handles task completion verification and updates session metadata to eliminate manual tracking errors after code commits.

Do I need a version control system to use automated session tracking?

Yes, automated session tracking requires an existing version control system and Python scripts. The tool integrates with your version control to verify code commit status and manage task completion accordingly.

How do I add a new session with minimal parameters after verifying code?

To add a new session after verifying code, run the add_session.py script with just the session title and commit hash. You can also include detailed summaries if needed for more comprehensive session metadata.

Can I integrate session archiving into my existing development workflow?

Yes, session archiving integrates seamlessly into existing development workflows. Operated post-code commit, it automatically handles task completion and session addition to streamline your development process without manual intervention.