Linkly AI - Local Document Search

What it does

Linkly AI provides local-document search and progressive reading tools to index, search, outline and read files on a user's machine or curated libraries. It exposes CLI and MCP tool paths for programmatic agents, returning structured search results, outlines, grep hits, and paginated document reads.

When to use it

Use this skill when a user asks to search their local documents, find files about a topic, list knowledge libraries, browse document outlines, or read a specific document. Also triggers on connection/troubleshooting phrases like 'linkly not working' or 'can not connect to linkly'.

What's included

• Scripts: none in repo (has_scripts=false) but the SKILL.md documents CLI and MCP usage patterns and command examples.
• References: embedded procedural references and best-practice notes in the SKILL.md (has_references=false).
• Instructions: step-by-step workflow: environment detection (CLI vs MCP), find_paths → search → outline/grep → read, plus guidance on pagination, time filters, and metadata handling.

Compatible agents

Agents that can run shell or MCP tools (CLI-friendly agents, coding assistants with MCP tool support) — e.g., Claude Code, Cursor, agents using shell access or an MCP bridge.