by lst97
Collection of specialized AI subagents for Claude Code for personal use (full-stack development).
# Add to your Claude Code skills
git clone https://github.com/lst97/claude-code-sub-agentsGuides for using ai agents skills like claude-code-sub-agents.
Last scanned: 4/27/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-04-27T06:28:09.512Z",
"semgrepRan": false,
"npmAuditRan": true,
"pipAuditRan": true
}claude-code-sub-agents is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by lst97. Collection of specialized AI subagents for Claude Code for personal use (full-stack development). It has 1,672 GitHub stars.
Yes. claude-code-sub-agents passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/lst97/claude-code-sub-agents" and add it to your Claude Code skills directory (see the Installation section above).
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh claude-code-sub-agents against similar tools.
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Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
A comprehensive collection of 33 specialized AI subagents for Claude Code, designed to enhance development workflows with domain-specific expertise and intelligent automation.
This repository contains a curated set of specialized subagents that extend Claude Code's capabilities across the entire software development lifecycle. Each subagent is an expert in a specific domain, automatically invoked based on context analysis or explicitly called when specialized expertise is needed.
Agents are now organized into logical categories for easier navigation:
Frontend & UI Specialists
Backend & Architecture
Language Specialists
Platform & Mobile
Developer Experience
Data Engineering & Analytics
AI & Machine Learning
Key Capabilities:
When to Use: Complex multi-step projects, cross-domain tasks, architecture decisions, comprehensive analysis, or any scenario requiring coordinated expertise from multiple specialized agents.
Alternatively, you can manually copy individual agent files:
# Prevent replacing documents from other providers
mkdir ~/.claude/agents/lst97
# Copy specific agents to your Claude agents directory
cp /path/to/agents/*.md ~/.claude/agents/lst97
To verify agents are loaded correctly:
# List all available agents
ls ~/.claude/agents/lst97/*.md
# Check Claude Code recognizes the agents (run in Claude Code)
# "List all available subagents"
These subagents are automatically available when placed in the ~/.claude/agents/ directory. Claude Code will automatically detect and load them on startup. This will enable the CLAUDE.md to be available in global scope, may also conflict with other repository.
# Clone the repository to your Claude agents directory
# Documents are base on the scaffold from https://github.com/wshobson/agents.git
cd ~/.claude
git clone https://github.com/lst97/claude-code-sub-agents.git
# Or if the directory already exists, pull the latest updates
cd ~/.claude
git pull origin main
To enable optimal performance with specialized MCP (Model Context Protocol) servers that enhance agent capabilities, add the following configuration to your global Claude settings file (~/.claude.json):
"mcpServers": {
"sequential-thinking": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-sequential-thinking"
],
"env": {}
},
"context7": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@upstash/context7-mcp"
],
"env": {}
},
"magic": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@21st-dev/magic@latest",
"API_KEY=\"api-key\"" // API key is required
],
"env": {}
},
"playwright": {
"type": "stdio",
"command": "npx",
"args": [
"@playwright/mcp@latest"
],
"env": {}
},
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/your/allowed/path" // please add your path here
]
},
"puppeteer": {
"command": "npx",
"args": [
"-y",
"puppeteer-mcp-server"
],
"env": {}
}
}
MCP Server Benefits: