Agenticx Deployer

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DemonDamon

agenticx-deployer

Guide for deploying AgenticX agents to production including Docker containerization, Kubernetes orchestration, Volcengine AgentKit cloud deployment, and API server setup. Use when the user wants to deploy agents, containerize applications, set up Kubernetes, configure cloud deployment, or run the AgenticX API server in production.

Overview

Publisher	DemonDamon
Repository	`AgenticX`
Skill name	`agenticx-deployer`
Stars	608
Forks	68
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by DemonDamon on GitHub. Read the source before you install it.

Installation

Install the Agenticx Deployer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/DemonDamon/AgenticX/tree/main/agenticx/skills/agenticx-deployer
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/DemonDamon/AgenticX.git /tmp/AgenticX
mkdir -p .claude/skills
cp -r /tmp/AgenticX/agenticx/skills/agenticx-deployer .claude/skills/agenticx-deployer

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agenticx Deployer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agenticx Deployer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agenticx Deployer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AgenticX Deployer

Guide for taking AgenticX agents from development to production.

Deployment Options

Method	Best For	Command
API Server	Quick deployment, development	`agx serve`
Docker	Single-node, reproducible	`agx deploy docker`
Kubernetes	Multi-node, auto-scaling	`agx deploy k8s`
Volcengine	Cloud-native, managed	`agx volcengine deploy`

API Server

Start Server

bash
# Default (0.0.0.0:8000)
agx serve

# Custom port + host
agx serve --port 9000 --host 127.0.0.1

# Development with auto-reload
agx serve --port 8000 --reload

Requires: pip install "agenticx[server]"

Health Endpoints

Endpoint	Purpose
`GET /health`	Comprehensive health check
`GET /health/live`	Liveness probe
`GET /health/ready`	Readiness probe
`POST /tasks/submit`	Submit a task

Docker Deployment

Prepare & Build

bash
# Prepare deployment package
agx deploy prepare --output ./deploy-package

# Build Docker image
agx deploy docker --tag my-agent:latest

# Run container
docker run -p 8000:8000 \
  -e OPENAI_API_KEY="sk-..." \
  my-agent:latest

Custom Dockerfile

dockerfile
FROM python:3.11-slim

WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .

EXPOSE 8000
CMD ["agx", "serve", "--port", "8000"]

Kubernetes Deployment

bash
# Generate K8s manifests
agx deploy k8s --output ./k8s-manifests

# Apply to cluster
kubectl apply -f ./k8s-manifests/

Generated manifests include:

Deployment with health probes
Service (ClusterIP)
ConfigMap for non-sensitive config
Secret template for API keys
HPA for auto-scaling

Volcengine AgentKit

Cloud-native deployment on Volcengine's managed platform.

Requires: pip install "agenticx[volcengine]"

Setup

bash
# Initialize project
agx volcengine init

# Configure credentials
agx volcengine config \
  --access-key YOUR_AK \
  --secret-key YOUR_SK \
  --region cn-beijing

Deploy

bash
# Deploy agent
agx volcengine deploy --agent my-agent

# Check status
agx volcengine status

# Invoke deployed agent
agx volcengine invoke --agent my-agent --input "Analyze this data"

# Tear down
agx volcengine destroy --agent my-agent

Integration Info

bash
agx volcengine info

Monitoring in Production

bash
# Start monitoring service
agx monitor start

# Check monitoring status
agx monitor status

AgenticX supports Prometheus metrics export for production monitoring.

Pre-Deployment Checklist

Environment variables — all API keys set and not hardcoded
Health probes — /health/live and /health/ready configured
Resource limits — CPU/memory limits set in K8s/Docker
Logging — structured logging enabled
Secrets — use K8s Secrets or vault, never commit keys
Testing — run agx test before deploying
Validation — run agx validate config.yaml for config correctness

Frequently asked questions

What does the Agenticx Deployer AI skill do?

Why use Agenticx Deployer on TypingMind?

Because you install it once and use it with any model. Agenticx Deployer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agenticx Deployer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/DemonDamon/AgenticX/tree/main/agenticx/skills/agenticx-deployer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agenticx Deployer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agenticx Deployer?

As many as you like. As long as a model supports skills, you can use Agenticx Deployer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agenticx Deployer AI skill free?

Yes. It is published on GitHub by DemonDamon under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

AgenticX Deployer

Deployment Options

API Server

Start Server

Health Endpoints

Docker Deployment

Prepare & Build

Custom Dockerfile

Kubernetes Deployment

Volcengine AgentKit

Setup

Deploy

Integration Info

Monitoring in Production

Pre-Deployment Checklist

Frequently asked questions

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