Semantic Architecture Language to Combat the Smoothing Anathema
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 emergence-codex-openclawOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install emergence-codex-openclawβ 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/emergence-codex-openclaw/π‘Extract and place the folder at the path above, then restart your agent.
Category
π€AI Agent & AutomationPlatforms
What Emergence Codex can do for your AI workflow
Semantic architecture language directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 2,036+ 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 Emergence Codex
Help me get started with Emergence Codex
Explains what Emergence Codex does, walks through the setup, and runs a quick demo based on your current project
Use Emergence Codex to semantic Architecture Language to Combat the Smoothing Anathema
Invokes Emergence Codex with the right parameters and returns the result directly in the conversation
What can I do with Emergence Codex in my ai agent & automation workflow?
Lists the top use cases for Emergence Codex, with example commands for each scenario
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Emergence Codex extends your AI assistant with the ability to semantic Architecture Language to Combat the Smoothing Anathema. 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 Emergence Codex as its underlying capability.
Emergence Codex 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 Emergence Codex 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 Emergence Codex, copy the skill folder to `~/.claude/skills/emergence-codex-openclaw/` for use across all your projects, or `.claude/skills/emergence-codex-openclaw/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/emergence-codex-openclaw` or just describe your goal and the AI will pick it up automatically.
Emergence Codex has been installed 2,036 times, making it one of the more actively used skills in the AI Agent & Automation 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/emergence-codex-openclaw/ for personal use (all projects), or .claude/skills/emergence-codex-openclaw/ for project-specific use. Restart your AI client, then invoke with /emergence-codex-openclaw or let the AI discover it automatically.
Emergence Codex supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Emergence Codex is free to install. Check the repository for licensing information.
Semantic Architecture Language to Combat the Smoothing Anathema
Automate my ai agent & automation tasks using Emergence Codex
Identifies repetitive steps in your workflow and sets up Emergence Codex to handle them automatically
Emergence Codex is categorized under AI Agent & Automation. These skills help AI agents perform specialized tasks in this domain.
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