Automated client onboarding and project lifecycle management. From a single message, creates Google Drive/Dropbox project folder structure, generates project...
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install client-flowOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install client-flowβ 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/client-flow/π‘Extract and place the folder at the path above, then restart your agent.
Category
π¬CommunicationPlatforms
What client-flow can do for your AI workflow
Automated client onboarding directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
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 client-flow
Send a Slack message to the #engineering channel about the deployment
Formats and sends the message with relevant context, tagging the right people
Summarize all unread messages in my inbox from today
Reads messages across connected channels and returns a prioritized summary
Draft a reply to this customer complaint and send it for review
Writes an empathetic, professional response and routes it to the approval queue
Guides & tutorials for AI skills
Staying on top of communications across multiple channels is a real challenge for modern teams. client-flow helps by enabling automated client onboarding and project lifecycle management. from a single message, creates google drive/dropbox project folder structure, generates project.. directly from your AI assistant, without switching apps or logging into separate platforms.
client-flow 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 client-flow 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.
client-flow installs like any other MCP skill: drop the folder into `~/.claude/skills/client-flow/` for global access, or `.claude/skills/client-flow/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/client-flow`, or let the AI decide when it's the right tool for your request.
client-flow has 699 installs and is part of the growing Communication skill ecosystem on DiscoverAISkills. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. 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/client-flow/ for personal use (all projects), or .claude/skills/client-flow/ for project-specific use. Restart your AI client, then invoke with /client-flow or let the AI discover it automatically.
client-flow supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
client-flow is free to install. Check the repository for licensing information.
Automated client onboarding and project lifecycle management. From a single message, creates Google Drive/Dropbox project folder structure, generates project...
Links
MCP vs traditional plugins: what's the difference?
client-flow is categorized under Communication. These skills help AI agents perform specialized tasks in this domain.