Integrates personal productivity data with deep work principles to create tailored focus schedules, optimize energy-task matching, and reduce distractions.
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install deep-work-orchestratorOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install deep-work-orchestratorβ 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/deep-work-orchestrator/π‘Extract and place the folder at the path above, then restart your agent.
Category
πProduct ManagerPlatforms
What Deep Work Orchestrator can do for your AI workflow
Integrates personal directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,010+ 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 Deep Work Orchestrator
Help me get started with Deep Work Orchestrator
Explains what Deep Work Orchestrator does, walks through the setup, and runs a quick demo based on your current project
Use Deep Work Orchestrator to integrates personal productivity data with deep work principles to ...
Invokes Deep Work Orchestrator with the right parameters and returns the result directly in the conversation
What can I do with Deep Work Orchestrator in my product manager workflow?
Lists the top use cases for Deep Work Orchestrator, with example commands for each scenario
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Deep Work Orchestrator extends your AI assistant with the ability to integrates personal productivity data with deep work principles to create tailored focus schedules, optimize energy-task matching, and reduce distractions. 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 Deep Work Orchestrator as its underlying capability.
Deep Work Orchestrator 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 Deep Work Orchestrator 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.
Getting started with Deep Work Orchestrator takes about two minutes. Place the skill at `~/.claude/skills/deep-work-orchestrator/` (personal, all projects) or `.claude/skills/deep-work-orchestrator/` (project-specific), then restart your AI client. From that point, typing `/deep-work-orchestrator` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Deep Work Orchestrator has been installed 1,010 times, making it one of the more actively used skills in the Product Manager 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/deep-work-orchestrator/ for personal use (all projects), or .claude/skills/deep-work-orchestrator/ for project-specific use. Restart your AI client, then invoke with /deep-work-orchestrator or let the AI discover it automatically.
Deep Work Orchestrator supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Deep Work Orchestrator is free to install. Check the repository for licensing information.
Integrates personal productivity data with deep work principles to create tailored focus schedules, optimize energy-task matching, and reduce distractions.
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