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.