AI agent operations reference — multi-agent architectures, ReAct and chain-of-thought patterns, tool-use conventions, prompt injection defense, and evaluation metrics
Scanned 6/6/2026
Install via CLI
openskills install bytesagain/ai-skills---
name: "agent-ops-framework"
version: "8.0.0"
description: "AI agent operations reference — multi-agent architectures, ReAct and chain-of-thought patterns, tool-use conventions, prompt injection defense, and evaluation metrics"
author: "BytesAgain"
homepage: "https://bytesagain.com"
source: "https://github.com/bytesagain/ai-skills"
tags: [ai-agent, multi-agent, langchain, llm, orchestration]
category: "devtools"
---
# Agent Ops Framework
AI agent operations reference — multi-agent architectures, ReAct and chain-of-thought patterns, tool-use conventions, prompt injection defense, and evaluation metrics. No API keys or credentials required — outputs reference documentation only.
## Commands
| Command | Description |
|---------|-------------|
| `intro` | Multi-agent architectures, frameworks |
| `standards` | Output schemas, tool-use, MCP, eval benchmarks |
| `troubleshooting` | Context overflow, loops, hallucination, rate limits |
| `performance` | Caching, parallelism, token optimization |
| `security` | Prompt injection, sandboxing, audit logging |
| `migration` | Single to multi-agent, prompt to function calling |
| `cheatsheet` | LangChain, CrewAI, AutoGen APIs, agent patterns |
| `faq` | When to use agents, costs, framework choice |
## Output Format
All commands output plain-text reference documentation via heredoc. No external API calls, no credentials needed, no network access.
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