What is episode-log-steps?
Log execution steps during episode execution for detailed tracking and learning. Use when recording tool usage, decision points, errors, or milestones during task execution. Source: d-o-hub/rust-self-learning-memory.
Log execution steps during episode execution for detailed tracking and learning. Use when recording tool usage, decision points, errors, or milestones during task execution.
Quickly install episode-log-steps AI skill to your development environment via command line
Source: d-o-hub/rust-self-learning-memory.
Log execution steps during episode execution for detailed tracking and learning.
Purpose Record individual execution steps to build a complete picture of task execution for pattern learning.
When multiple related steps occur in a burst (e.g., fixing multiple test failures):
Log execution steps during episode execution for detailed tracking and learning. Use when recording tool usage, decision points, errors, or milestones during task execution. Source: d-o-hub/rust-self-learning-memory.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/d-o-hub/rust-self-learning-memory --skill episode-log-stepsLog execution steps during episode execution for detailed tracking and learning. Use when recording tool usage, decision points, errors, or milestones during task execution. Source: d-o-hub/rust-self-learning-memory.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/d-o-hub/rust-self-learning-memory --skill episode-log-steps Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/d-o-hub/rust-self-learning-memory