Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics
Data sourced from ClawHub. View on ClawSkills
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install enterprise-agent-opsOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install enterprise-agent-opsβ 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/enterprise-agent-ops/π‘Extract and place the folder at the path above, then restart your agent.
What enterprise-agent-ops can do for your AI workflow
Head-to-head comparison directly from your Claude conversation
Native Claude integration via the open Model Context Protocol (MCP)
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 enterprise-agent-ops
Help me get started with enterprise-agent-ops
Explains what enterprise-agent-ops does, walks through the setup, and runs a quick demo based on your current project
Use enterprise-agent-ops to head-to-head comparison of coding agents (Claude Code, Aider, Codex...
Invokes enterprise-agent-ops with the right parameters and returns the result directly in the conversation
What can I do with enterprise-agent-ops in my ai agent workflow?
Lists the top use cases for enterprise-agent-ops, with example commands for each scenario
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enterprise-agent-ops extends your AI assistant with the ability to head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. 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 enterprise-agent-ops as its underlying capability.
enterprise-agent-ops integrates with Claude through the Model Context Protocol (MCP) standard. The skill is version-controlled and shareable β if you work with a team, you can commit the skill to your project repo and everyone gets the same capability without any extra setup.
enterprise-agent-ops installs like any other MCP skill: drop the folder into `~/.claude/skills/enterprise-agent-ops/` for global access, or `.claude/skills/enterprise-agent-ops/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/enterprise-agent-ops`, or let the AI decide when it's the right tool for your request.
enterprise-agent-ops is a community-contributed AI productivity skill available through 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/enterprise-agent-ops/ for personal use (all projects), or .claude/skills/enterprise-agent-ops/ for project-specific use. Restart your AI client, then invoke with /enterprise-agent-ops or let the AI discover it automatically.
enterprise-agent-ops supports Claude. It integrates seamlessly with these AI platforms to extend their capabilities.
enterprise-agent-ops is free to install. Check the repository for licensing information.
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics
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