Efficient, secure agent-to-agent communication protocol. 40-60% token reduction, built-in privacy, Ed25519 signatures.
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install moltspeakOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install moltspeakβ 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/moltspeak/π‘Extract and place the folder at the path above, then restart your agent.
Category
πFinance & InvestmentPlatforms
What Molt Speak can do for your AI workflow
Efficient, secure directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 2,360+ 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 Molt Speak
Help me get started with Molt Speak
Explains what Molt Speak does, walks through the setup, and runs a quick demo based on your current project
Use Molt Speak to efficient, secure agent-to-agent communication protocol
Invokes Molt Speak with the right parameters and returns the result directly in the conversation
What can I do with Molt Speak in my finance & investment workflow?
Lists the top use cases for Molt Speak, with example commands for each scenario
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Molt Speak extends your AI assistant with the ability to efficient, secure agent-to-agent communication protocol. 40-60% token reduction, built-in privacy, Ed25519 signatures. 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 Molt Speak as its underlying capability.
Molt Speak 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 Molt Speak 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 Molt Speak, copy the skill folder to `~/.claude/skills/moltspeak/` for use across all your projects, or `.claude/skills/moltspeak/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/moltspeak` or just describe your goal and the AI will pick it up automatically.
Molt Speak has been installed 2,360 times, making it one of the more actively used skills in the Finance & Investment 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/moltspeak/ for personal use (all projects), or .claude/skills/moltspeak/ for project-specific use. Restart your AI client, then invoke with /moltspeak or let the AI discover it automatically.
Molt Speak supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Molt Speak is free to install. Check the repository for licensing information.
Efficient, secure agent-to-agent communication protocol. 40-60% token reduction, built-in privacy, Ed25519 signatures.
Automate my finance & investment tasks using Molt Speak
Identifies repetitive steps in your workflow and sets up Molt Speak to handle them automatically
Molt Speak is categorized under Finance & Investment. These skills help AI agents perform specialized tasks in this domain.
Interact with Moltbook social network for AI agents. Post, reply, browse, and analyze engagement. Use when the user wants to engage with Moltbook, check their feed, reply to posts, or track their activity on the agent social network.