pluginintermediateGeneral AI

Awesome Production Agentic Systems

This is a curated index of professional-grade tools for building and managing AI agentic systems. It provides a directory of open-source libraries that help developers deploy, monitor, secure, and scale their AI applications for production environments.

AI SETUP PROMPT

Paste into Claude Code or Codex CLI — it will scan your project and set everything up

# Install & Configure: Awesome Production Agentic Systems

## What This Is
This is a curated index of professional-grade tools for building and managing AI agentic systems. It provides a directory of open-source libraries that help developers deploy, monitor, secure, and scale their AI applications for production environments.

Source: https://github.com/EthicalML/awesome-production-genai

## Before You Start

Scan my workspace and analyze:
- The project language, framework, and directory structure
- Existing agent configuration (check for .claude/, .codex/, CLAUDE.md, settings.json, commands/, skills/ directories)
- Whether this repository or a similar tool is already cloned or installed

Then ask me before proceeding:
1. Do I need to configure any service credentials for this plugin (database, API keys, etc.)?
2. Should this be project-scoped or global?

## Fetch the Source

Clone or inspect the repository to understand what needs to be installed:
```bash
gh repo clone EthicalML/awesome-production-genai
```
Review the README, directory structure, and any install instructions before proceeding.

## What to Implement

This is an **Agent Plugin** — typically an MCP server or capability bundle.

- Install any required npm/pip packages from the source repository
- Register the MCP server in `.claude/settings.json` under the `mcpServers` key with the correct command and args
- Configure any required environment variables or credentials
- Verify the server starts correctly by checking its expected output

## Additional Context

- Clone the repository `https://github.com/EthicalML/awesome-production-agentic-systems.git` into a `docs/reference/` directory in the user's workspace.
- Scan the user's current project to identify key challenges (e.g., lack of monitoring, security vulnerabilities, scaling issues) and cross-reference them with the categories in the repository's README.md file (Agent Monitoring, Model Security, etc.).
- Present a summary of the top 3 recommended libraries from the list that address the user's identified project needs, including their GitHub links and star counts, and ask if they want to integrate one.

## Guidelines

- Adapt everything to my existing project — do not assume a specific stack or directory layout
- Review any fetched code for safety before installing or executing it
- After setup, run a quick verification and show me a summary of exactly what was installed, where, and how to use it

2,457 charactersCompatible with Claude Code & Codex CLI

MANUAL SETUP STEPS

01Clone the repository `https://github.com/EthicalML/awesome-production-agentic-systems.git` into a `docs/reference/` directory in the user's workspace.
02Scan the user's current project to identify key challenges (e.g., lack of monitoring, security vulnerabilities, scaling issues) and cross-reference them with the categories in the repository's README.md file (Agent Monitoring, Model Security, etc.).
03Present a summary of the top 3 recommended libraries from the list that address the user's identified project needs, including their GitHub links and star counts, and ask if they want to integrate one.

FIELD OPERATIONS

Production Readiness Agent

Develop an AI agent that takes a user's project as input, scans its architecture, and uses this 'awesome-list' as a knowledge base to recommend and optionally install missing production tools for monitoring, security, or scaling.

Self-Monitoring AI Agent

Using a library from the 'Agent Monitoring' section of the list, build an agent that tracks its own token usage, latency, and error rates. The agent should be configured to send alerts to a specified endpoint (like a Slack webhook) when predefined performance thresholds are breached.

STRATEGIC APPLICATIONS