afrexai-agent-engineering
Design, build, deploy, and operate production AI agent systems — single agents, multi-agent teams, and autonomous swarms. Complete methodology from agent architecture through orchestration, memory systems, safety guardrails, and operational excellence.
Best for production agent systemsWorks with GitHubLow risk
⌘source
- author
@LeoYeAI- language
- Python
★2kstars
306forks
May 6, 2026
✦overview.md
Key Features
- ·Complete agent lifecycle coverage
- ·Agent purpose definition framework
- ·Architecture to operations methodology
- ·Autonomy and safety guardrails
Use Cases
- →Designing a customer support agent with escalation limits
- →Deploying a multi-agent system for automated data processing
- →Setting up monitoring and operational runbooks for agents
Best for
- ✓production agent systems
- ✓multi-agent teams
- ✓24/7 operations
Not ideal for
- !simple chatbot demos
- !one-off scripts
- !non-production experiments
FAQs
name
afrexai-agent-engineering
description
Design, build, deploy, and operate production AI agent systems — single agents, multi-agent teams, and autonomous swarms. Complete methodology from agent architecture through orchestration, memory systems, safety guardrails, and operational excellence.
Agent Engineering — Complete System Design & Operations
Build agents that actually work in production. Not demos. Not toys. Real systems that run 24/7, handle edge cases, and compound value over time.
This skill covers the entire agent lifecycle: architecture → build → deploy → operate → scale.
Phase 1 — Agent Architecture Design
1.1 Agent Purpose Definition
Before writing a single line of config, answer these:
agent_brief:
name: "" # Short, memorable (max 2 words)
mission: "" # One sentence — what does this agent DO?
success_metric: "" # How do you MEASURE if it's working?
failure_mode: "" # What does failure look like?
autonomy_level: "" # advisor | operator | autopilot
decision_authority:
can_do_freely: [] # Actions requiring no approval
must_ask_first: [] # Actions requiring human approval
never_do: [] # Hard prohibitions (safety rail)
surfaces:
channels: [] # telegram, discord, slack, whatsapp, webchat
mode: "" # dm_only | groups | both
$install
1-click copynpx skills add LeoYeAI/openclaw-master-skills --skill afrexai-agent-engineeringSafety assessment
★
Clarity score
How clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
4/ 5
very goodClear and well structured, with only minor parts that might need a second read.
◎
Actionability score
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
3/ 5
mediumPartially actionable with several concrete steps, but still missing important details.