Extract repeatable task patterns from conversation logs into YAML skill templates.
npx skills add https://github.com/r3dlex/oh-my-auggie --skill learner-r3dlex
Please help me install this Agent Skill. Skill: learner Source: https://github.com/r3dlex/oh-my-auggie/tree/main/plugins/oma/skills/learner Command: npx skills add https://github.com/r3dlex/oh-my-auggie --skill learner-r3dlex
This Skill helps users extract and document learned skills and patterns from work sessions, enabling knowledge capture and reusability.
Ask the AI to analyze your recent work session and generate a structured skill entry for the pattern you observed.
High-intent search queries and answers about installing and using this skill.
To extract actionable skills from conversation logs, process the session text to identify repeatable task patterns and document them using structured YAML templates for future reuse.
The best way to document procedural patterns from debugging sessions is to analyze the work log and generate a structured skill entry that formalizes the steps taken for similar future tasks.
Yes, you can apply this skill extraction approach to refine technical and creative workflows by capturing procedural knowledge from sessions and templating it for repeatable tasks.
Generate structured documentation from a recent work session by asking the system to analyze the log and output a templated skill entry emphasizing clarity, correctness, and reusability.
No, knowledge capture from work sessions using this approach requires no specific dependencies, allowing you to directly extract and formalize skills from your conversation logs.
You should formalize skills into YAML templates when you identify repeatable task patterns in your workflows that require clear, reusable documentation for future integration.
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