record-learning

Record modeling session learnings into RAW_LEARNINGS.md with structured metadata.

6|1|Updated Jan 2, 2026
One-click install
npx skills add https://github.com/1cFE/agentic-mbse --skill record-learning
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: record-learning
Source: https://github.com/1cFE/agentic-mbse/tree/main/claude/skills/record-learning
Command: npx skills add https://github.com/1cFE/agentic-mbse --skill record-learning

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Keeps a persistent record of learnings, discoveries, and insights from modeling sessions to prevent knowledge loss and promote reuse.

Core Features & Use Cases

  • Capture process learnings (syntax gotchas, import patterns, tooling notes) and domain insights with cross-references to related documentation.
  • Organize learnings as timestamped entries in a centralized RAW_LEARNINGS.md file for retrospectives and improvement.
  • Differentiate between process learnings and domain insights, enabling targeted follow-ups and pattern creation.

Quick Start

Run /record-learning to capture a new learning from the current modeling session.

Frequently Asked Questions about record-learning

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

FAQPage Schema
How do I capture and log learnings from a SysML modeling session?

You can record modeling learnings by writing structured entries into a RAW_LEARNINGS.md file with timestamped metadata. This captures syntax gotchas, import patterns, and domain insights to prevent knowledge loss during retrospectives.

What is the best way to document SysML parse issues and workarounds?

The best way to document SysML parse issues and workarounds is to log them as structured entries with Category, Severity, Source, Problem, Solution, Generalization, and Verification Status. This differentiates process learnings from domain insights for targeted follow-ups.

How does a learning log improve modeling session retrospectives?

A learning log improves modeling retrospectives by organizing discoveries into a persistent, centralized record with timestamped metadata. This structured format enables pattern identification and promotes the reuse of best practices in future work.

Can I use this to record domain insights alongside process learnings?

Yes, you can record domain insights alongside process learnings. The logging mechanism differentiates between process learnings, such as tooling notes and syntax gotchas, and domain insights with cross-references to related documentation for targeted follow-ups.

Do I need any specific dependencies to maintain a retrospective learning log?

No specific dependencies are required to maintain a retrospective learning log. The process writes entries directly into a markdown file using structured sections and timestamped metadata, ensuring insights are preserved without external tooling.