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Agent Ops Framework

这是AI Agent运维全场景参考框架,核心提供多agent架构、思维模式、安全防御、性能优化、故障排查等全链路运维参考文档。支持intro、security等多类命令调用,适用于开发者学习架构、解决故障、优化性能等场景,输入为指定命令,输出纯文本参考文档,无需密钥或网络。

xueyetianya
xueyetianya
热度 75.11
最近更新 2026-05-11 17:30:48
分类:开发依赖:纯提示词应用场景:API 集成 / DevOps / 调试排错

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add agent-ops-framework
Metadata
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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