One-click install
npx skills add https://github.com/sun2443/designer-skills --skill search-sun2443
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: search
Source: https://github.com/sun2443/designer-skills/tree/main/enterprise-search/skills/search
Command: npx skills add https://github.com/sun2443/designer-skills --skill search-sun2443

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of wasting time hunting through chat, email, cloud storage, and trackers to find decisions, discussions, and specific documents scattered across connected systems.

Core Features & Use Cases

  • Unified cross-source search: Runs a single query across all connected MCP sources and merges the results.
  • Query understanding and decomposition: Interprets intent (decision, doc, conversation, status) and converts filters like from:, in:, after:, before:, and type: into source-specific searches.
  • Ranking and deduplication: Groups repeated information across sources and prioritizes the most relevant, fresh, authoritative, and complete results.
  • Structured synthesized output: Returns a direct answer with source attribution for factual/decision queries, exploratory summaries for “what do we know about…” queries, and direct “find” results with related items.

Quick Start

Ask: "Find that doc about our Q2 roadmap decision from last month, and include the key context from the conversation."

Frequently Asked Questions about search

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

FAQPage Schema
How do I search for a specific decision across multiple enterprise tools like chat, email, and cloud storage?

To search for a specific decision across multiple tools, this Skill runs a single query across all connected MCP sources, merges the results, and returns a direct answer with source attribution. It interprets your intent and synthesizes findings from chat, email, and cloud storage.

Can I filter cross-source retrieval results by sender, date, or document type?

Yes, you can filter cross-source retrieval results using parsed filters like from:, in:, after:, before:, and type:. The Skill converts these filters into source-specific searches to narrow down documents, decisions, and conversations across your connected platforms.

What is the best way to find project documents and status history scattered across different trackers and knowledge bases?

The best way to find scattered project documents and status history is using unified cross-source search. It executes parallel sub-queries across connected trackers and knowledge bases, applies ranking and deduplication, and groups the unified output by your intended search goal.

How does knowledge management deduplication work when the same document exists in cloud storage and a CRM?

Knowledge management deduplication works by grouping repeated information found across cloud storage, CRM objects, and other connected sources. It prioritizes the most relevant, fresh, authoritative, and complete results to ensure you see the best version of a duplicated document.

Does information discovery work with MCP sources for exploratory queries like what do we know about a topic?

Yes, information discovery works with MCP sources for exploratory queries. When you ask what is known about a topic, the Skill returns exploratory summaries synthesized from parallel sub-query execution across connected sources, providing a unified cited output grouped by intent.

What are the limitations of cross-source search when looking for decisions across connected systems?

A limitation of cross-source search is that it requires connected MCP sources to function and cannot retrieve information from disconnected platforms. Additionally, the accuracy of finding specific decisions depends on how well the query intent and filters map to the source-specific search parameters.