AI Templates¶
What it is¶
AI Templates is a marketplace-style site for prompt templates, commands, and reusable AI workflow assets.
What problem it solves¶
It gives users a faster way to discover proven prompt structures and packaged AI task templates instead of starting from a blank prompt.
Where it fits in the stack¶
AI & Knowledge / Prompt and Workflow Templates. It is a discovery layer for reusable prompt assets.
Typical use cases¶
- Finding starter prompts for common workflows
- Browsing packaged AI commands or template ideas
- Comparing how different communities structure similar tasks
Strengths¶
- Fast inspiration and reuse
- Useful for discovering common patterns across tools
Limitations¶
- Template libraries can encourage cargo-cult usage
- Quality and freshness vary by entry
When to use it¶
- When you need a starting point or examples quickly
When not to use it¶
- When you need repo-specific or domain-specific operating logic
Getting started¶
Installation¶
Use the official CLI tool to browse and install components directly:
# Run without installation
npx claude-code-templates@latest
# Or install globally
npm install -g claude-code-templates
Initial Setup¶
Run the health check to verify your environment:
cct --health-check
CLI examples¶
Search and Install¶
# Install a specific agent
cct --agent frontend-developer
# Install multiple components at once
cct --agent security-auditor --command security-audit --mcp github-integration
# Install with default project detection
cct --yes
Analytics and Monitoring¶
# Launch the real-time analytics dashboard
cct --analytics
# Enable remote access via Cloudflare Tunnel
cct --chats --tunnel
Global Agent Management¶
# Create a globally accessible agent
cct --create-agent customer-support
# Invoke the global agent from anywhere
customer-support "How do I handle refund requests?"
API examples¶
The AI Templates API is primarily used for download tracking and Discord integration.
Track a Component Download¶
import requests
url = "https://www.aitmpl.com/api/track-download-supabase"
payload = {
"component_name": "frontend-developer",
"component_type": "agent",
"platform": "cli"
}
response = requests.post(url, json=payload)
print(response.status_code)
Related tools / concepts¶
- Claude Plugins
- Claude Skills Ecosystem
- Google Gemini
- Google Opal
- OpenRouter
- Jasper
- Copy.ai
- Flowise
- Dify
- Snack Prompt
- PromptBase
- Fabric (Pattern marketplace)
- Prompts.ai
Sources / References¶
Contribution Metadata¶
- Last reviewed: 2026-06-27
- Confidence: high