·ai-engineering
>_

ai-engineering

✓
mguinada/agent-skillsGitHub: mguinada/agent-skillsSource: mguinada/agent-skills

Build AI agents and agentic workflows. Use when designing/building/debugging agentic systems: choosing workflows vs agents, implementing prompt patterns (chaining/routing/parallelization/orchestrator-workers/evaluator-optimizer), building autonomous agents with tools, designing ACI/tool specs, or troubleshooting/optimizing implementations. **PROACTIVE ACTIVATION**: Auto-invoke when building agentic applications, designing workflows vs agents, or implementing agent patterns. **DETECTION**: Check for agent code (MCP servers, tool defs, .mcp.json configs), or user mentions of "agent", "workflow", "agentic", "autonomous". **USE CASES**: Designing agentic systems, choosing workflows vs agents, implementing prompt patterns, building agents with tools, designing ACI/tool specs, troubleshooting/optimizing agents.

mguinada·ai·engineering
9Installs·0Trend·@mguinada

Installation

GitHub: mguinada/agent-skills
$npx skills add https://github.com/mguinada/agent-skills --skill ai-engineering

How to Install ai-engineering

Quickly install ai-engineering AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/mguinada/agent-skills --skill ai-engineering
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: mguinada/agent-skills.

SKILL.md

View raw

Build effective agentic systems using proven patterns. Start simple, add complexity only when needed.

For specialized prompt design guidance (techniques, patterns, examples for agentic systems), see the prompt-engineering skill.

Find the simplest solution first. Agentic systems trade latency and cost for better task performance. Only increase complexity when simpler solutions fall short.

Build AI agents and agentic workflows. Use when designing/building/debugging agentic systems: choosing workflows vs agents, implementing prompt patterns (chaining/routing/parallelization/orchestrator-workers/evaluator-optimizer), building autonomous agents with tools, designing ACI/tool specs, or troubleshooting/optimizing implementations. **PROACTIVE ACTIVATION**: Auto-invoke when building agentic applications, designing workflows vs agents, or implementing agent patterns. **DETECTION**: Check for agent code (MCP servers, tool defs, .mcp.json configs), or user mentions of "agent", "workflow", "agentic", "autonomous". **USE CASES**: Designing agentic systems, choosing workflows vs agents, implementing prompt patterns, building agents with tools, designing ACI/tool specs, troubleshooting/optimizing agents. Source: mguinada/agent-skills.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/mguinada/agent-skills --skill ai-engineering
Source
mguinada/agent-skills
Category
>_Productivity
Verified
✓
First Seen
2026-02-22
Updated
2026-03-10
URL
https://www.learn-skills.dev/en/skills/mguinada/agent-skills/ai-engineering

Browse more skills from mguinada/agent-skills

Quick answers

What is ai-engineering?

Build AI agents and agentic workflows. Use when designing/building/debugging agentic systems: choosing workflows vs agents, implementing prompt patterns (chaining/routing/parallelization/orchestrator-workers/evaluator-optimizer), building autonomous agents with tools, designing ACI/tool specs, or troubleshooting/optimizing implementations. **PROACTIVE ACTIVATION**: Auto-invoke when building agentic applications, designing workflows vs agents, or implementing agent patterns. **DETECTION**: Check for agent code (MCP servers, tool defs, .mcp.json configs), or user mentions of "agent", "workflow", "agentic", "autonomous". **USE CASES**: Designing agentic systems, choosing workflows vs agents, implementing prompt patterns, building agents with tools, designing ACI/tool specs, troubleshooting/optimizing agents. Source: mguinada/agent-skills.

How do I install ai-engineering?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/mguinada/agent-skills --skill ai-engineering Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/mguinada/agent-skills

Details

Category
>_Productivity
Source
skills.sh
First Seen
2026-02-22

Related Skills

refactor
11 Installs
git-commit
9 Installs
tdd
9 Installs
create-pr
8 Installs
copilot-sdk
6 Installs
prompt-engineering
6 Installs