skill-factory

Session analysis for skill generation works by scanning your command-line history to identify repeatable workflows, checking them against an existing skill inventory to prevent duplicates, and creating structured blueprints. It supports both sequential execution and Agent Teams for complex multi-step workflows.

Yes, Python 3.8 or higher is required along with bash and git to perform session analysis and script execution for skill generation. These tools provide the necessary environment for pattern detection, duplicate checking, and managing the lifecycle of newly created skills.

Yes, you can prevent duplicate skill generation because this skill includes a duplicate checking mechanism that compares newly detected patterns against an existing skill inventory. This ensures redundancy is avoided before creating and structuring new skill blueprints from your session data.

The best way to package a complex debugging session into a new skill is to use automated pattern extraction on your session history. The skill identifies the multi-command workflow, checks for duplicates, and generates a structured blueprint that can be triggered later by you or your team.

Yes, this skill generation tool supports Agent Teams for complex workflow automation. After analyzing command-line session history and extracting reusable patterns, it can manage the skill creation lifecycle using either sequential execution or Agent Teams to handle intricate multi-step workflows.