linkly-ai

Name: linkly-ai
Availability: InStock
Author: Linkly AI

Search, browse, and read local and cloud documents indexed by Linkly AI.

48|3|Updated Mar 3, 2026

Search Tags:#knowledge base #AI #document search #document reading #document navigation

Ready to run

npx skills add https://github.com/LinklyAI/linkly-ai-skills --skill linkly-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: linkly-ai
Source: https://github.com/LinklyAI/linkly-ai-skills/tree/main
Command: npx skills add https://github.com/LinklyAI/linkly-ai-skills --skill linkly-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill empowers AI agents to search, browse, and read local and cloud documents, providing a knowledge base that can be queried and leveraged in various scenarios.

Core Features & Use Cases

Full-Text Search: Search local and cloud documents by keywords with relevance ranking, time windows, and path filters.
Document Outlines: Explore document structure before diving in, using structural outlines for navigation.
Read Content: Read document content with line-based pagination, enabling efficient content consumption.
Use Case: When an AI agent needs to retrieve and process information from a local or cloud document, this skill can be used to perform the task efficiently.

Quick Start

Use the linkly-ai skill to search for documents related to 'AI' and retrieve the first result.

Frequently Asked Questions about linkly-ai

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

FAQPage Schema

How do I enable AI agents to perform full-text document search across local files and cloud libraries?▼

To enable full-text document search for AI agents, you need the Linkly AI desktop app and appropriate MCP tools. This setup allows agents to search local and cloud libraries using keywords, relevance ranking, time windows, and path filters.

Can I browse document structure and outlines before reading the full content with an AI agent?▼

Yes, you can browse document structure before reading full content. The skill generates structural outlines that allow AI agents to explore document navigation hierarchies and determine relevant sections before diving into the text.

What is the best way to read large documents efficiently using an AI knowledge base?▼

The best way to read large documents efficiently is by using line-based pagination. This feature enables AI agents to consume document content in manageable chunks, ensuring efficient content retrieval without overwhelming the context window.

Do I need specific MCP tools to access cloud libraries and local documents for AI document navigation?▼

Yes, you need specific MCP tools configured for either local or remote access. The Linkly AI desktop app requires these appropriate MCP tools to successfully connect AI agents to your local documents and cloud libraries.

How does relevance ranking and path filtering work when searching for keywords in a document knowledge base?▼

Relevance ranking and path filtering refine keyword searches by sorting results based on match quality and restricting the search scope to specific file directories. This ensures agents retrieve the most pertinent documents from the indexed knowledge base.