record-session

Record completed coding sessions to .trellis workspace journals with commit hashes.

4|1|Updated Aug 9, 2025
One-click install
npx skills add https://github.com/LinnkidChen/Stock-Tracker --skill record-session-linnkidchen
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: record-session
Source: https://github.com/LinnkidChen/Stock-Tracker/tree/main/.agents/skills/record-session
Command: npx skills add https://github.com/LinnkidChen/Stock-Tracker --skill record-session-linnkidchen

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Records completed work progress to .trellis/workspace journal files after human testing and commit. Captures session summaries, commit hashes, and updates developer index files for future session context. Use when a coding session is complete, after the human has committed code, or to persist session knowledge for future AI sessions.

Core Features & Use Cases

  • Persist session summaries to .trellis/workspace journals for auditability.
  • Update developer index files to improve future context for AI assistants.
  • Support post-commit knowledge preservation to enable context-aware AI re-engagement.

Quick Start

Run the one-click workflow to append the completed session to .trellis/workspace/journals and refresh the developer index for future context.

Frequently Asked Questions about record-session

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

FAQPage Schema
How do I save a coding session summary for future AI context?

Save coding session summaries by recording them to Trellis journals. The session data captures commit hashes and updates developer indices to provide long-term context for future AI-assisted work.

What's the best way to persist developer context after a git commit?

Persist developer context after a git commit by appending the completed session to .trellis/workspace journals. This stores the session summary and commit hashes securely for auditability and future AI re-engagement.

When should I record a session to a Trellis journal?

Record a session to a Trellis journal when a coding session is complete and after the human has committed code. Use it to persist session knowledge for future AI sessions and maintain long-term auditability.

Does the record-session workflow require any external dependencies?

The record-session workflow requires no external dependencies. It relies entirely on .trellis tooling to securely store data in workspace journals and update developer index files.

Can I replay recorded session data for future AI-assisted work?

Recorded session data can be replayed for future sessions. The .trellis tooling stores session summaries and commit hashes in an auditable way, enabling context-aware AI re-engagement.