Provide commands for interacting with a local Logseq instance through its Plugin API. Use for creating pages, inserting blocks, querying the graph database, managing tasks, retrieving content, or automating workflows in Logseq. Only works with a locally running instance with the API enabled; default port or set path expected for [$API accessible skill].
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install logseqOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install logseqβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/logseq/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Logseq can do for your AI workflow
Commands for interacting directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 3,224+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Logseq
Help me get started with Logseq
Explains what Logseq does, walks through the setup, and runs a quick demo based on your current project
Use Logseq to commands for interacting with a local Logseq instance through its P...
Invokes Logseq with the right parameters and returns the result directly in the conversation
What can I do with Logseq in my data & analytics workflow?
Lists the top use cases for Logseq, with example commands for each scenario
Guides & tutorials for AI skills
Logseq extends your AI assistant with the ability to provide commands for interacting with a local Logseq instance through its Plugin API. Use for creating pages, inserting blocks, querying the graph database, managing tasks, retrieving content, or automating workflows in Logseq. Only works with a locally running instance with the API enabled; default port or set path expected for [$API accessible skill]. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Logseq as its underlying capability.
Logseq works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Logseq once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install Logseq, copy the skill folder to `~/.claude/skills/logseq/` for use across all your projects, or `.claude/skills/logseq/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/logseq` or just describe your goal and the AI will pick it up automatically.
Logseq has been installed 3,224 times, making it one of the more actively used skills in the Data & Analytics category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/logseq/ for personal use (all projects), or .claude/skills/logseq/ for project-specific use. Restart your AI client, then invoke with /logseq or let the AI discover it automatically.
Logseq supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Logseq is free to install. Check the repository for licensing information.
Provide commands for interacting with a local Logseq instance through its Plugin API. Use for creating pages, inserting blocks, querying the graph database, managing tasks, retrieving content, or automating workflows in Logseq. Only works with a locally running instance with the API enabled; default port or set path expected for [$API accessible skill].
Automate my data & analytics tasks using Logseq
Identifies repetitive steps in your workflow and sets up Logseq to handle them automatically
MCP vs traditional plugins: what's the difference?
Logseq is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.