| name | alibabacloud-tair-ai-assistant |
| description | Alibaba Cloud Tair (Redis OSS-Compatible) Database AI Assistant. For Tair/Redis instance management, performance diagnostics, memory analysis, hotspot key detection, latency troubleshooting, parameter tuning, connection session analysis.
Use when user questions involve Tair, Redis, instance IDs starting with r-, memory analysis, hotspot keys, eviction policy, big key detection, etc.
|
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
| Capability | Description |
|---|
| Instance List Query | List and filter Tair/Redis instances by region, type, status |
| Memory Usage Analysis | Memory consumption breakdown, fragmentation ratio, eviction statistics |
| Hotspot Key Detection | Hot key identification, access frequency analysis, cache optimization |
| Big Key Analysis | Large key detection, memory distribution analysis, optimization suggestions |
| Latency Diagnostics | Command latency analysis, slow command detection, network latency troubleshooting |
| Slow Log Analysis | Slow command log query, high-latency operation identification |
| Parameter Tuning | Instance parameter explanation, configuration suggestions, performance impact analysis |
| Connection Session Analysis | Connection count monitoring, client session troubleshooting, connection pool optimization |
| Backup Status Check | Backup completion verification, retention policy, recovery point in time |
| Performance Monitoring | QPS/TPS/hit rate/bandwidth and other core metrics analysis |
| Expiring Instance Query | Subscription instance expiration reminder |
| Security Configuration Audit | Whitelist, SSL/TLS, password policy, security audit |
| Storage Optimization | Data structure optimization, TTL strategy, memory efficiency improvement |
| Proxy Diagnostics | Proxy 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.
curl -fsSL https://aliyuncli.alicdn.com/install.sh | bash
aliyun version
aliyun configure set --auto-plugin-install true
aliyun plugin install --names aliyun-cli-das
aliyun plugin update
brew 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.
| Parameter | Required/Optional | Description | Default |
|---|
query | Required | Natural language query content (including region, instance info) | - |
--session-id | Optional | Session ID for multi-turn conversation | - |
--profile | Optional | aliyun CLI profile name | default |
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:
--profile flag on the command line
ALIBABA_CLOUD_PROFILE environment variable
ALIBABA_CLOUD_ACCESS_KEY_ID / ALIBABA_CLOUD_ACCESS_KEY_SECRET environment variables
- Configuration file
~/.aliyun/config.json (current profile)
- 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:
aliyun configure ai-mode enable
aliyun configure ai-mode set-user-agent --user-agent "AlibabaCloud-Agent-Skills/alibabacloud-tair-ai-assistant"
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"
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"
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"
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "Find hotspot keys in instance r-xxx"
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"
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "How to troubleshoot high connection count in instance r-xxx"
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "Show backup status of instance r-xxx"
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "Continue analysis" --session-id "<session-id>"
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "List instances" --profile myprofile
| bash /scripts/call_yaochi_agent.sh -
aliyun configure ai-mode disable
Example Questions
| Scenario | Example Question |
|---|
| Instance Management | List Tair instances in Beijing region |
| Performance Diagnostics | How to troubleshoot high CPU usage in instance r-xxx |
| Slow Log Analysis | Show slow commands in instance r-xxx in the last hour |
| Memory Analysis | Analyze memory fragmentation of instance r-xxx |
| Big Key Detection | Detect big keys in instance r-xxx and suggest optimization |
| Hotspot Key | Find hotspot keys in instance r-xxx |
| Parameter Tuning | What does maxmemory-policy parameter mean |
| Master-Replica | How to handle high replication delay in instance r-xxx |
| Backup Recovery | When was the latest backup of instance r-xxx |
| Connection Troubleshooting | Instance r-xxx connections are full |
| Security Audit | Check 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
- Instance ID Format: Tair/Redis instance IDs typically start with
r-, include the full instance ID in queries
- Region Specification: Explicitly specify region in natural language queries (e.g., "Hangzhou region", "Beijing region") to improve query accuracy
- Multi-turn Conversation: Use
--session-id for complex diagnostic scenarios to maintain context continuity
- Concurrency Limit: Maximum 2 concurrent sessions per account, avoid initiating multiple parallel calls
- High-risk Operations: For operations involving parameter changes, master-replica switchover, always remind users to verify in test environment first
- Throttling Handling: If encountering
Throttling.UserConcurrentLimit error, wait for previous query to complete and retry
- Credential Security: Use
aliyun configure to manage credentials, never hardcode AK/SK in scripts
Reference Links