Analyze AI session conversations to propose durable updates to roles, skills, and project memory.
npx skills add https://github.com/argen/hornero --skill extract-lesson
Please help me install this Agent Skill. Skill: extract-lesson Source: https://github.com/argen/hornero/tree/main/skills/extract-lesson Command: npx skills add https://github.com/argen/hornero --skill extract-lesson
The 'extract-lesson' skill solves the issue of applying learnings from sessions to improve the harness and agent performance over time.
After completing a session, let Hornero run the 'extract-lesson' command to analyze the session and propose updates.
High-intent search queries and answers about installing and using this skill.
Session analysis extracts learnings by reviewing conversation insights to propose durable updates to role files, skills, and project memory. It identifies root causes of bugs and suggests guardrails for continuous harness improvement.
Feedback-loop discipline turns session learnings into improvements by analyzing conversations and generating durable updates. It refines roles and skills based on real-world use cases to enhance agent performance over time.
Yes, multi-role review analyzes collaboration sessions to identify and address recurring delegation mistakes. It proposes necessary updates to role files and skills to enhance the harness based on the session's insights.
Bug fix analysis identifies root causes of bugs during session wrap-up by examining the conversation. It automatically proposes durable updates and suggests necessary guardrails to prevent similar issues in future sessions.
No dependencies are required to run session analysis. The skill operates independently using its internal scripts and references to analyze conversations and propose updates to roles, skills, and project memory.
The best way is running the extract-lesson command after completing a session. It analyzes the conversation to automatically propose durable updates to role files and project memory for continuous skill refinement.
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