msx:compound

Re-run or enrich learning extraction from archived code changes.

Updated Mar 16, 2026
One-click install
npx skills add https://github.com/xxyj/xx-ai-cli --skill msx-compound
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: msx:compound
Source: https://github.com/xxyj/xx-ai-cli/tree/main/.cursor/skills/msx-14-compound
Command: npx skills add https://github.com/xxyj/xx-ai-cli --skill msx-compound

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the re-run or enrichment of learning extraction for archived changes, ensuring that knowledge is preserved and accessible for future reference.

Core Features & Use Cases

  • Re-run Extraction: Manually re-run the learning extraction process for archived changes.
  • Enrich Learning: Add more information to the auto-generated learning documents for better knowledge沉淀.
  • Use Case: After resolving a complex issue in the code, use this Skill to extract and document the learnings, making the knowledge available for the team.

Quick Start

Run the skill on the archived change using the command: xxcli skill run msx:compound

Frequently Asked Questions about msx:compound

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

FAQPage Schema
How do I extract learnings from archived code changes for team knowledge retention?

You can extract learnings from archived code changes by running the skill command to automate the re-run or enrichment of learning extraction, preserving knowledge for future reference.

Can I enrich auto-generated learning documents after resolving a complex code issue?

Yes, you can enrich auto-generated learning documents by triggering the skill to add more information to the extracted knowledge沉淀, ensuring better knowledge retention.

What do I need to run learning extraction analysis on archived changes?

You need access to code repositories and the ability to execute scripts for analysis to run the learning extraction process on archived changes.

How does automated knowledge documentation work for past code changes?

Automated knowledge documentation works by executing scripts that analyze archived changes, extracting and documenting learnings to make knowledge available for the team.

Is there a manual way to re-run the learning extraction process for archived code?

Yes, you can manually re-run the learning extraction process for archived changes by executing the skill command on the target code repository.