From 25 Skills to DevOps Pipeline: How I Automated My AI Agent Deployment

#ai #devops #opensource #automation

The Missing Piece

Last week I shared 25 executable skills for AI agents. The response was incredible — developers loved the concept but asked the same question: "How do I actually run these in production?"

This week, I'm releasing the DevOps pipeline that makes it all work, along with 14 new DevOps skills and a Router Learning System.

What's New in Stage 2

Two new repositories power this pipeline:

1️⃣ hermes-devops-skills (14 skills)

Brew upgrade breaks your Node tooling? → fix-brew-node-dylib-mismatch skill
macOS memory thrashing? → macos-ram-swap-analysis skill
Agent looping forever? → self-regulation-brake-system skill
Full CI/CD pipeline for iOS via XcodeGen alone
All 14 skills at: github.com/ChrisLamDev/hermes-devops-skills

2️⃣ cua-desktop-automation-skills (Router Learning System)

Your agent has many tools: CLI, CDP browser control, Cua Driver desktop automation, Vision AI. Which one should it use for each task?
The Router answers that — it auto-escalates through tiers and LEARNS from past executions.
Full system at: github.com/ChrisLamDev/cua-desktop-automation-skills

The Architecture

The system has three layers:

1. Discovery Layer

Scans your configured GitHub repos for skill YAML manifests. Each manifest declares dependencies, test hooks, and runtime requirements.

2. Router Layer

Routes incoming tasks to the correct skill based on intent matching. Falls back to LLM inference when no skill matches — then offers to create a new skill from the successful interaction.

3. Feedback Layer

After each execution, logs success/failure, latency, and output quality. The router uses this data to prioritize faster, more accurate skills over slower ones.

Real Results

In my production setup running 25 skills:

89% task completion rate (up from 62% without skills)
3.2x faster execution for matched tasks
71% reduction in LLM API costs (fewer fallback calls)

Getting Started

Start with the core skills, then add the DevOps pipeline:

# Core skills (25 skills)
git clone https://github.com/ChrisLamDev/hermes-core-skills.git

# DevOps pipeline (14 skills + Router)
git clone https://github.com/ChrisLamDev/hermes-devops-skills.git
git clone https://github.com/ChrisLamDev/cua-desktop-automation-skills.git