Agent skill

Agenticx Deployer

by DemonDamon in DemonDamon/AgenticX

Guide for deploying AgenticX agents to production including Docker containerization, Kubernetes orchestration, Volcengine AgentKit cloud deployment, and API server setup.

Apache-2.0Auto-check passedDevOps & Cloud

Install Agenticx Deployer

skills CLI
$ npx skills add DemonDamon/AgenticX --skill agenticx-deployer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install DemonDamon/AgenticX agenticx-deployer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/DemonDamon/AgenticX.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agenticx/skills/agenticx-deployer .claude/skills/agenticx-deployer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agenticx-deployer
GitHub stars
294
Token cost
~866 tokens
SKILL.md length
186 words
Files
1
Skills in repo
17
Repo updated
First seen
Licence
Apache-2.0

At a glance

Guide for deploying AgenticX agents to production including Docker containerization, Kubernetes orchestration, Volcengine AgentKit cloud deployment, and API server setup.

  • Works in 7 steps: Environment variables — all API keys set… → Health probes — /health/live and… → Resource limits — CPU/memory limits set… → …
  • The user wants to deploy agents
  • SKILL.md covers Deployment Options, API Server, Docker Deployment and Kubernetes Deployment, plus 3 more sections
  • Calls pip, docker and kubectl; needs OPENAI_API_KEY

What it does

Agenticx Deployer is an agent skill from DemonDamon/AgenticX. 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.

Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Containers, Container orchestration and Deployment. It works with Kubernetes and Docker. The repository describes itself as: AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers… The licence is Apache-2.0.

When your agent uses it

  • The user wants to deploy agents
  • Containerize applications
  • Set up Kubernetes
  • Configure cloud deployment

Example prompts

  • “/agenticx-deployer”

Requirements

  • Python 3
  • Docker
  • A credential in OPENAI_API_KEY

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

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

What it can do on your machine

Read from SKILL.md and the folder at commit c1af2c7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pip
    • docker
    • kubectl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, docker and kubectl, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • OPENAI_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agenticx Deployer loads about 866 tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 186 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~88
When it runs · the whole SKILL.md, loaded when a task matches
~866

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from DemonDamon/AgenticX at commit c1af2c7, republished under its Apache-2.0 licence (© DemonDamon). 186 words, ~866 tokens.

Download SKILL.mdSave it as .claude/skills/agenticx-deployer/SKILL.md (or your agent's skills folder).
name
agenticx-deployer
description
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.
metadata.author
AgenticX
metadata.version
0.6.5

AgenticX Deployer

Guide for taking AgenticX agents from development to production.

Deployment Options

MethodBest ForCommand
API ServerQuick deployment, developmentagx serve
DockerSingle-node, reproducibleagx deploy docker
KubernetesMulti-node, auto-scalingagx deploy k8s
VolcengineCloud-native, managedagx 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
EndpointPurpose
GET /healthComprehensive health check
GET /health/liveLiveness probe
GET /health/readyReadiness probe
POST /tasks/submitSubmit 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

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

© DemonDamon, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in agenticx/skills/agenticx-deployer of DemonDamon/AgenticX.

Open the folder on GitHubat commit c1af2c7

Compare with similar skills

Agenticx Deployer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agenticx Deployer compared with similar skills
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Agenticx Deployer this skillDemonDamon/AgenticX294—~866Automated safety check: PassApache-2.0
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Debug Openshell ClusterNVIDIA/OpenShell15k—~19kAutomated safety check: NotesApache-2.0
Deploymentmatrixorigin/memoria608—~1.6kAutomated safety check: NotesApache-2.0
Onboarding Validationopen-edge-platform/edge-ai-suites140—~3.3kAutomated safety check: PassApache-2.0
Vss Deploy Warehouse HelmNVIDIA-AI-Blueprints/video-search-and-summarization1.9k—~4.2kAutomated safety check: PassApache-2.0

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Categories

Questions about Agenticx Deployer

What does Agenticx Deployer do?

Guide for deploying AgenticX agents to production including Docker containerization, Kubernetes orchestration, Volcengine AgentKit cloud deployment, and API server setup. Agenticx Deployer is an agent skill from DemonDamon/AgenticX. Guide for deploying AgenticX agents to production including Docker containerization, Kubernetes orchestration, Volcengine AgentKit cloud deployment, and API server setup.

When should I use Agenticx Deployer?

Agenticx Deployer fits situations like: the user wants to deploy agents; containerize applications; set up Kubernetes; configure cloud deployment.

How do I install Agenticx Deployer in Claude Code?

Run `npx skills add DemonDamon/AgenticX --skill agenticx-deployer -a claude-code`. Or copy the skill folder (agenticx/skills/agenticx-deployer in DemonDamon/AgenticX) into .claude/skills/agenticx-deployer in your project. Claude Code loads it when a task matches its description.

How do I install Agenticx Deployer in Codex?

Run `npx skills add DemonDamon/AgenticX --skill agenticx-deployer -a codex`. Or copy the skill folder (agenticx/skills/agenticx-deployer in DemonDamon/AgenticX) into .agents/skills/agenticx-deployer in your project. Codex loads it when a task matches its description.

Can I use Agenticx Deployer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add DemonDamon/AgenticX --skill agenticx-deployer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agenticx-deployer, .gemini/skills/agenticx-deployer, .github/skills/agenticx-deployer and .opencode/skills/agenticx-deployer in your project.

What does Agenticx Deployer need to run?

Going by SKILL.md and its folder, Agenticx Deployer needs the command-line tools its instructions call (pip, docker and kubectl) and credentials named OPENAI_API_KEY. Our summary lists: Python 3; Docker; A credential in OPENAI_API_KEY.

Does Agenticx Deployer access the network?

SKILL.md contains no URLs. Its commands use pip and docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Agenticx Deployer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agenticx Deployer use?

Agenticx Deployer is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agenticx Deployer use?

About 866 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agenticx Deployer?

Skills that share tags, products or a category with Agenticx Deployer: LangBot Deployment Guide (langbot-app/LangBot, 18k stars), Debug Openshell Cluster (NVIDIA/OpenShell, 15k stars), Deployment (matrixorigin/memoria, 608 stars) and Onboarding Validation (open-edge-platform/edge-ai-suites, 140 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agenticx Deployer?

DemonDamon (a GitHub user) maintains it in DemonDamon/AgenticX, which has 294 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 8, 2026.

Source: DemonDamon/AgenticX on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.