A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
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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 evolver-1-17-1Or via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install evolver-1-17-1β 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/evolver-1-17-1/π‘Extract and place the folder at the path above, then restart your agent.
Category
π€AI Agent & AutomationPlatforms
What Evolver 1.17.1 can do for your AI workflow
Self-evolution engine for ai 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 Evolver 1.17.1
Help me get started with Evolver 1.17.1
Explains what Evolver 1.17.1 does, walks through the setup, and runs a quick demo based on your current project
Use Evolver 1.17.1 to a self-evolution engine for AI agents
Invokes Evolver 1.17.1 with the right parameters and returns the result directly in the conversation
What can I do with Evolver 1.17.1 in my ai agent & automation workflow?
Lists the top use cases for Evolver 1.17.1, with example commands for each scenario
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Evolver 1.17.1 extends your AI assistant with the ability to a self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. 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 Evolver 1.17.1 as its underlying capability.
Evolver 1.17.1 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 Evolver 1.17.1 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.
Evolver 1.17.1 installs like any other MCP skill: drop the folder into `~/.claude/skills/evolver-1-17-1/` for global access, or `.claude/skills/evolver-1-17-1/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/evolver-1-17-1`, or let the AI decide when it's the right tool for your request.
Evolver 1.17.1 has 483 installs and is part of the growing AI Agent & Automation skill ecosystem on DiscoverAISkills. 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/evolver-1-17-1/ for personal use (all projects), or .claude/skills/evolver-1-17-1/ for project-specific use. Restart your AI client, then invoke with /evolver-1-17-1 or let the AI discover it automatically.
Evolver 1.17.1 supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Evolver 1.17.1 is free to install. Check the repository for licensing information.
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
Automate my ai agent & automation tasks using Evolver 1.17.1
Identifies repetitive steps in your workflow and sets up Evolver 1.17.1 to handle them automatically
Evolver 1.17.1 is categorized under AI Agent & Automation. These skills help AI agents perform specialized tasks in this domain.
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. Communicates with EvoMap...