Agent skill · Workflow & Productivity

power-agent-creator

This skill should be used when users want to create powerful AI agents comparable to Claude Code or sonph-code. It provides battle-tested system prompts, masterfully-crafted tool implementations, and the simple but powerful agent loop pattern. Use this skill when users ask to build coding agents, AI assistants with tools, or any autonomous agent that needs file operations, code execution, search, and task management capabilities. The key insight is that customization requires only ONE HumanMessage after the SystemPrompt.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill power-agent-creator --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Path: skills/agent/power-agent-creator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Power Agent Creator ## Overview This skill provides everything needed to create powerful AI agents comparable to Claude Code. It includes: 1. **Battle-tested System Prompt** - A masterpiece prompt refined through millions of dollars of evaluation 2. **Production-ready Tools** - Comprehensive toolset for file ops, search, execution, and task management 3. **The Agent Loop** - The same simple pattern used by the most powerful agents ## Core Philosophy > "The main agent is just a loop. The session memory is just a list of messages. It is enough to build the most powerful agent in the world. PERIOD!" **CRITICAL**: Do NOT modify the system prompts or tool descriptions. They are masterpieces refined through extensive evaluation. ## The Customization Secret To create ANY kind of agent, you only need to add ONE `HumanMessage` after the `SystemMessage`: ```python from langchain_core.messages import SystemMessage, HumanMessage from prompts import coding_agent_prompt messages = [ SystemMessage(content=coding_agent_prompt()), HumanMessage(content="""You are now specialized as a [ROLE]. Your additional capabilities: - [CAPABILITY 1] - [CAPABILITY 2] Your constraints: - [CONSTRAINT 1] - [CONST

What's inside
Steps it walks through
  1. Overview
  2. Core Philosophy
  3. The Customization Secret
  4. Quick Start: Create a Specialized Agent
  5. Step 1: Initialize with Base System Prompt
  6. Step 2: Add Specialization Message
  7. Step 3: Bind Tools and Create Agent
  8. Step 4: Run the Agent Loop
  9. Specialization Examples
  10. Data Science Agent
  11. Security Analyst Agent
  12. Full-Stack Developer Agent
  13. Documentation Agent
  14. Complete Agent Class
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the power-agent-creator skill do?

This skill should be used when users want to create powerful AI agents comparable to Claude Code or sonph-code. It provides battle-tested system prompts, masterfully-crafted tool implementations, and the simple but powerful agent loop pattern. Use this skill when users ask to build coding agents, AI assistants with tools, or any autonomous agent that needs file operations, code execution, search, and task management capabilities. The key insight is that customization requires only ONE HumanMessage after the SystemPrompt.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill power-agent-creator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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