73-lessons-learn-150

Capture durable lessons from solved problems and update MEMORY.md.

Updated Jan 30, 2025

Search Tags:#workflow #architecture #memory #inbox #principles #lessons #memory-pipeline

Ready to run

npx skills add https://github.com/MykhailoDmytriakha/my-preacher-helper --skill 73-lessons-learn-150

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: 73-lessons-learn-150
Source: https://github.com/MykhailoDmytriakha/my-preacher-helper/tree/main/.codex/skills/73-lessons-learn-150
Command: npx skills add https://github.com/MykhailoDmytriakha/my-preacher-helper --skill 73-lessons-learn-150

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Capture durable learning from solved problems and keep the Memory pipeline consistent.

Core Features & Use Cases

Inbox-to-Lesson Workflow: creates new lessons from resolved issues, moving items through the pipeline with traceable history.
Principles Detected: records actionable guidelines and architectural principles discovered during sessions into MEMORY.md (Context Engineering).
Reference Enhancement: updates Project Architecture Quick Reference with new insights for long-term retention.

Quick Start

Read the active session log, extract any new insights or failed cases, and append a new Lesson to MEMORY.md following the provided template.

Frequently Asked Questions about 73-lessons-learn-150

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

FAQPage Schema

How do I capture durable lessons from solved problems into a memory pipeline?▼

Capture durable lessons by reading active session logs to extract insights and failed cases, then appending new lessons to an inbox for traceable history before consolidating them into MEMORY.md.

What is the best way to document architectural principles discovered during a project session?▼

Document architectural principles by recording actionable guidelines directly into MEMORY.md under a Principles Detected section, ensuring long-term retention and consistent context engineering.

How does an inbox-to-lesson workflow maintain traceable history for project memory?▼

An inbox-to-lesson workflow maintains traceable history by moving resolved issues through a memory pipeline, creating new lessons with a record of the original problem and the applied solution.

When do I need to update the Project Architecture Quick Reference with new insights?▼

Update the Project Architecture Quick Reference with new insights whenever you document new lessons or principles in MEMORY.md to maintain an accurate, long-term architectural overview.

Can I use a memory pipeline to consolidate inbox lessons into a single MEMORY.md file?▼

Yes, you can use a memory pipeline to consolidate inbox lessons by moving items from the inbox and appending the finalized learning entries directly into MEMORY.md.

What template should I follow to append a new lesson to MEMORY.md?▼

To append a new lesson to MEMORY.md, read the active session log, extract any new insights or failed cases, and format the entry following the provided lesson template to ensure consistent memory pipeline integration.