msx:search

Search institutional learnings and legacy docs with ranked results.

Updated Mar 16, 2026
One-click install
npx skills add https://github.com/xxyj/xx-ai-cli --skill msx-search
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: msx:search
Source: https://github.com/xxyj/xx-ai-cli/tree/main/.cursor/skills/msx-13-search
Command: npx skills add https://github.com/xxyj/xx-ai-cli --skill msx-search

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Searching through institutional learnings can be time-consuming and inefficient, especially when you need to find information quickly.

Core Features & Use Cases

  • Quick Search: Efficiently search for relevant learning documents.
  • Multi-source Search: Searches both mixspec/learnings and legacy docs/solutions as a fallback.
  • Ranked Results: Provides ranked matches with detailed information on why each result is relevant.
  • Suggested Action: Offers a suggested action for each match to facilitate further exploration.

Quick Start

Search for learning materials related to "customer support" using the /msx:search "customer support" command.

Frequently Asked Questions about msx:search

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

FAQPage Schema
How do I search through institutional learnings and documentation quickly?

To search institutional learnings quickly, use a search command that targets both modern `mixspec/learnings` and legacy `docs/solutions` directories. This optimizes your query to yield relevant and ranked matches, providing actionable insights for information retrieval.

Can I find specific information in legacy docs and modern learning sources at the same time?

Yes, you can find specific information across both sources simultaneously. The search mechanism queries modern `mixspec/learnings` first, then uses legacy `docs/solutions` as a fallback, ensuring comprehensive document search coverage across your organization's knowledge base.

What is the best way to retrieve ranked matches for organizational knowledge management?

The best way to retrieve ranked matches for organizational knowledge management is to use a search function that optimizes queries across your documentation. It provides detailed information on why each result is relevant and offers a suggested action for further exploration.

How do I get actionable insights from a document search?

You get actionable insights from a document search by retrieving ranked matches that include detailed relevance explanations. Each match comes with a suggested action, facilitating further exploration and helping you quickly apply the retrieved institutional learnings.

Does the knowledge search tool work without any external dependencies?

Yes, the knowledge search tool works without external dependencies. It independently searches through internal `mixspec/learnings` and `docs/solutions` directories to provide optimized, ranked results for your information retrieval needs.

Why does my information retrieval query return results from legacy docs/solutions?

Your information retrieval query returns results from legacy `docs/solutions` because it serves as a fallback source. If modern `mixspec/learnings` lack the required data, the search expands to legacy documentation to ensure you find the necessary institutional learnings.