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Agent Skill · 研究检索

alibabacloud-tair-ai-assistant(阿里巴巴云泰尔 AI 助手)

alibabacloud-tair-ai-assistant 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

alibabacloud-tair-ai-assistant 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 57,864。

总安装 423周安装 18GitHub Stars 79下载 148核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:alibabacloud-tair-ai-assistant(阿里巴巴云泰尔 AI 助手)
来源仓库:https://github.com/aliyun/alibabacloud-aiops-skills
仓库路径:skills/alibabacloud-tair-ai-assistant
安装命令:
npx skills add https://github.com/aliyun/alibabacloud-aiops-skills --skill alibabacloud-tair-ai-assistant
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/aliyun/alibabacloud-aiops-skills --skill alibabacloud-tair-ai-assistant

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于 Tair 数据库的智能运维诊断与分析,调用 DAS 插件获取 AI 辅助建议。支持实例列表查询、内存使用分析、热点键识别与慢查询诊断。通过 aliyun CLI 调用 get-yao-chi-agent API 实现自动化问题定位。

安装命令为 npx skills add https://github.com/aliyun/alibabacloud-aiops-skills --skill alibabacloud-tair-ai-assistant。需确保 CLI 版本兼容并完成插件自动安装与 AI 模式启用。

来源仓库内路径:skills/alibabacloud-tair-ai-assistant

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/aliyun/alibabacloud-aiops-skills --skill aliba…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

alibabacloud-tair-ai-assistant 怎么安装?

在终端执行 npx skills add https://github.com/aliyun/alibabacloud-aiops-skills --skill alibabacloud-ta…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

alibabacloud-tair-ai-assistant 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

alibabacloud-tair-ai-assistant 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

alibabacloud-tair-ai-assistant 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

alibabacloud-tair-ai-assistant 用的人多吗?

公开数据是累计安装 423 次,近一周安装 18 次,下载 148 次,GitHub 79 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

alibabacloud-tair-ai-assistant 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
alibabacloud-tair-ai-assistant

阿里巴巴云泰尔 AI 助手 · 本页

42379接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Tair Database AI Assistant

This Skill focuses on Alibaba Cloud Tair (Redis OSS-Compatible) database intelligent O&M, invoking the get-yao-chi-agent API through the aliyun CLI DAS plugin for diagnostics and analysis.

Architecture: Aliyun CLI → DAS Plugin (Signature V3) → get-yao-chi-agent API → Tair Intelligent Diagnostics

Supported Capabilities

CapabilityDescription
Instance List QueryList and filter Tair/Redis instances by region, type, status
Memory Usage AnalysisMemory consumption breakdown, fragmentation ratio, eviction statistics
Hotspot Key DetectionHot key identification, access frequency analysis, cache optimization
Big Key AnalysisLarge key detection, memory distribution analysis, optimization suggestions
Latency DiagnosticsCommand latency analysis, slow command detection, network latency troubleshooting
Slow Log AnalysisSlow command log query, high-latency operation identification
Parameter TuningInstance parameter explanation, configuration suggestions, performance impact analysis
Connection Session AnalysisConnection count monitoring, client session troubleshooting, connection pool optimization
Backup Status CheckBackup completion verification, retention policy, recovery point in time
Performance MonitoringQPS/TPS/hit rate/bandwidth and other core metrics analysis
Expiring Instance QuerySubscription instance expiration reminder
Security Configuration AuditWhitelist, SSL/TLS, password policy, security audit
Storage OptimizationData structure optimization, TTL strategy, memory efficiency improvement
Proxy DiagnosticsProxy layer performance analysis, connection routing, bandwidth bottleneck detection

Installation

Pre-check: Aliyun CLI >= 3.3.1 required Run aliyun version to verify >= 3.3.1. If not installed or version too low, see references/cli-installation-guide.md for installation instructions. Then [MUST] run aliyun configure set --auto-plugin-install true to enable automatic plugin installation.
# Install aliyun CLI
curl -fsSL https://aliyuncli.alicdn.com/install.sh | bash
aliyun version  # Verify >= 3.3.1

# Enable automatic plugin installation
aliyun configure set --auto-plugin-install true

# Install DAS plugin (get-yao-chi-agent requires plugin for Signature V3 support)
aliyun plugin install --names aliyun-cli-das

# Update all installed plugins to latest version
aliyun plugin update

# Install jq (for JSON response parsing)
# macOS:
brew install jq
# Ubuntu/Debian:
# sudo apt-get install jq

Parameter Confirmation

IMPORTANT: Parameter Confirmation — Before executing any command or API call, ALL user-customizable parameters (e.g., RegionId, instance names, CIDR blocks, passwords, domain names, resource specifications, etc.) MUST be confirmed with the user. Do NOT assume or use default values without explicit user approval.
ParameterRequired/OptionalDescriptionDefault
queryRequiredNatural language query content (including region, instance info)-
--session-idOptionalSession ID for multi-turn conversation-
--profileOptionalaliyun CLI profile namedefault

Authentication

This Skill relies on the aliyun CLI default credential chain for authentication — no explicit AK/SK handling is required in the Skill workflow.

The CLI automatically resolves credentials in the following priority order:

  1. --profile flag on the command line
  2. ALIBABA_CLOUD_PROFILE environment variable
  3. ALIBABA_CLOUD_ACCESS_KEY_ID / ALIBABA_CLOUD_ACCESS_KEY_SECRET environment variables
  4. Configuration file ~/.aliyun/config.json (current profile)
  5. ECS Instance RAM Role (if running on ECS)

For credential setup and configuration modes (OAuth, AK, StsToken, RamRoleArn, EcsRamRole, etc.), see references/cli-installation-guide.md.

RAM Policy

See references/ram-policies.md

Core Workflow

All intelligent O&M operations are invoked through scripts/call_yaochi_agent.sh, which wraps aliyun das get-yao-chi-agent (DAS plugin kebab-case command, supports Signature V3) with streaming response parsing.

Before executing any CLI command, AI-Mode must be enabled; after workflow ends, it must be disabled:

# [MUST] Enable AI-Mode before executing CLI commands
aliyun configure ai-mode enable
aliyun configure ai-mode set-user-agent --user-agent "AlibabaCloud-Agent-Skills/alibabacloud-tair-ai-assistant"
# Instance management
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "List Tair instances in Hangzhou region"
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "Show detailed configuration of instance r-xxx"

# Performance diagnostics
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "Analyze instance r-xxx performance in the last hour"
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "Show slow commands of instance r-xxx"

# Memory analysis
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "Analyze memory usage of instance r-xxx"
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "Detect big keys in instance r-xxx"

# Hotspot key detection
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "Find hotspot keys in instance r-xxx"

# Parameter tuning
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "How to tune maxmemory-policy for instance r-xxx"
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "Explain hz parameter"

# Connection and session
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "How to troubleshoot high connection count in instance r-xxx"

# Backup recovery
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "Show backup status of instance r-xxx"

# Multi-turn conversation (use session ID from previous response)
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "Continue analysis" --session-id "<session-id>"

# Specify profile
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "List instances" --profile myprofile

# Read from stdin
echo "List instances" | bash $SKILL_DIR/scripts/call_yaochi_agent.sh -
# [MUST] Disable AI-Mode after workflow ends
aliyun configure ai-mode disable

Example Questions

ScenarioExample Question
Instance ManagementList Tair instances in Beijing region
Performance DiagnosticsHow to troubleshoot high CPU usage in instance r-xxx
Slow Log AnalysisShow slow commands in instance r-xxx in the last hour
Memory AnalysisAnalyze memory fragmentation of instance r-xxx
Big Key DetectionDetect big keys in instance r-xxx and suggest optimization
Hotspot KeyFind hotspot keys in instance r-xxx
Parameter TuningWhat does maxmemory-policy parameter mean
Master-ReplicaHow to handle high replication delay in instance r-xxx
Backup RecoveryWhen was the latest backup of instance r-xxx
Connection TroubleshootingInstance r-xxx connections are full
Security AuditCheck security configuration of instance r-xxx

Success Verification

See references/verification-method.md

Cleanup

This Skill focuses on query and diagnostics capabilities, does not create any resources, no cleanup required.

The following operations are NOT within the scope of this Skill:

  • Create/delete Tair instances
  • Change instance specifications
  • Purchase/renew instances

API and Command Tables

See references/related-apis.md

Best Practices

  1. Instance ID Format: Tair/Redis instance IDs typically start with r-, include the full instance ID in queries
  2. Region Specification: Explicitly specify region in natural language queries (e.g., "Hangzhou region", "Beijing region") to improve query accuracy
  3. Multi-turn Conversation: Use --session-id for complex diagnostic scenarios to maintain context continuity
  4. Concurrency Limit: Maximum 2 concurrent sessions per account, avoid initiating multiple parallel calls
  5. High-risk Operations: For operations involving parameter changes, master-replica switchover, always remind users to verify in test environment first
  6. Throttling Handling: If encountering Throttling.UserConcurrentLimit error, wait for previous query to complete and retry
  7. Credential Security: Use aliyun configure to manage credentials, never hardcode AK/SK in scripts

Reference Links

ReferenceDescription
references/cli-installation-guide.mdAliyun CLI installation and configuration guide
references/related-apis.mdRelated API and CLI command list
references/ram-policies.mdRAM permission policy list
references/verification-method.mdSuccess verification methods
references/acceptance-criteria.mdAcceptance criteria

平台分布

Codex

33.82%
按下载量换算50

Claude

30.38%
按下载量换算45

Cursor

18.17%
按下载量换算27

Gemini CLI

9.19%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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