PolarDB Database AI Assistant

This Skill focuses on Alibaba Cloud PolarDB MySQL/PostgreSQL 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 → PolarDB Intelligent Diagnostics

Supported Capabilities

Capability	Description
PolarDB Primary-Standby Switchover Analysis	Failover cause investigation, switchover log analysis, unexpected Failover diagnostics
PolarDB Kernel Parameter Change Assessment	Impact assessment before parameter modification, change risk analysis
PolarDB Kernel Parameter Explanation	Parameter meaning explanation, configuration suggestions, performance impact analysis
PolarDB Kernel Parameter Explanation (IMCI)	IMCI columnar engine related parameter explanation
PolarDB Kernel Version Proxy Diagnostics	Proxy layer troubleshooting, version compatibility diagnostics
PolarDB Kernel Version Instance Diagnostics	Instance layer version issue diagnostics, upgrade suggestions
Instance Query Filter	PolarDB instance search and filtering
Proxy Performance Monitoring	Proxy layer performance metrics analysis, connection routing diagnostics
Serverless Configuration	Serverless instance parameters and elastic scaling configuration
SQL Optimization Analysis	Slow SQL analysis, index suggestions, execution plan interpretation
Expiring Instance Query	Subscription instance expiration reminder
Backup Status Check	Backup completion, retention policy, recovery point in time
Storage Usage Diagnostics	Storage consumption analysis, growth trends, space optimization suggestions
Security Configuration Audit	Whitelist, SSL, security policy audit
Instance Status Check	Instance health status, running status verification
Log Diagnostics	Error log analysis, slow log troubleshooting
Auto-Increment ID Overflow Detection	Auto-increment ID exhaustion risk detection, primary key overflow warning
Connection and Session Analysis	Connection count monitoring, session issue troubleshooting, connection pool optimization
Cluster Performance Monitoring	QPS/TPS/connections/throughput and other core metrics analysis
High Availability and Disaster Recovery	HA configuration assessment, disaster recovery architecture diagnostics

Installation

Pre-check: Aliyun CLI >= 3.3.3 required Run aliyun version to verify >= 3.3.3. If not installed or version too low, run curl -fsSL https://aliyuncli.alicdn.com/setup.sh | bash to update, or see references/cli-installation-guide.md for installation instructions. Then [MUST] run aliyun configure set --auto-plugin-install true to enable automatic plugin installation. Then [MUST] run aliyun plugin update to ensure that any existing plugins on your local machine are always up-to-date.

[MUST] CLI User-Agent — Every aliyun CLI command invocation must include: --user-agent AlibabaCloud-Agent-Skills/alibabacloud-polardb-ai-assistant

[MUST] Enable AI-Mode — AI-mode is required for Agent Skill execution. Run the following commands before any CLI invocation:

aliyun configure ai-mode enable
aliyun configure ai-mode set-user-agent --user-agent "AlibabaCloud-Agent-Skills/alibabacloud-polardb-ai-assistant"

[MUST] Disable AI-Mode at EVERY exit point — Before delivering the final response for ANY reason, always disable AI-mode first. This applies to ALL exit paths: workflow success, workflow failure, error/exception, user cancellation, session end, or any other scenario where no further CLI commands will be executed. AI-mode is only used for Agent Skill invocation scenarios and MUST NOT remain enabled after the skill stops running.

aliyun configure ai-mode disable

# Install aliyun CLI
curl -fsSL https://aliyuncli.alicdn.com/setup.sh | bash
aliyun version  # Verify >= 3.3.3

# 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

# 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.

Parameter	Required/Optional	Description	Default
query	Required	Natural language query content (including region, cluster info)	-
--session-id	Optional	Session ID for multi-turn conversation	-
--profile	Optional	aliyun CLI profile name	default

Authentication

Credentials use existing aliyun CLI configuration, no additional AK/SK setup required:

# Recommended: OAuth mode
aliyun configure --mode OAuth

# Or: AK mode
aliyun configure set \
  --mode AK \
  --access-key-id <your-access-key-id> \
  --access-key-secret <your-access-key-secret> \
  --region cn-hangzhou

# Cross-account access: RamRoleArn mode
aliyun configure set \
  --mode RamRoleArn \
  --access-key-id <your-access-key-id> \
  --access-key-secret <your-access-key-secret> \
  --ram-role-arn acs:ram::<account-id>:role/<role-name> \
  --role-session-name yaochi-agent-session \
  --region cn-hangzhou

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.

# Cluster management
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "List PolarDB clusters in Hangzhou region"
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "Show detailed configuration of cluster pc-xxx"

# Performance diagnostics
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "Analyze cluster pc-xxx performance in the last hour"
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "Show slow SQL of cluster pc-xxx"

# Parameter tuning
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "How to tune innodb_buffer_pool_size for cluster pc-xxx"
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "Explain loose_polar_log_bin parameter"

# Primary-standby switchover diagnostics
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "Analyze recent primary-standby switchover cause for cluster pc-xxx"

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

# Backup recovery
bash $SKILL_DIR/scripts/call_yaochi_agent.sh "Show backup status of cluster pc-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 clusters" --profile myprofile

# Read from stdin
echo "List clusters" | bash $SKILL_DIR/scripts/call_yaochi_agent.sh -

Example Questions

Scenario	Example Question
Cluster Management	List nodes of cluster pc-xxx
Performance Diagnostics	How to troubleshoot high CPU usage in cluster pc-xxx
Slow SQL Analysis	Show slow SQL in cluster pc-xxx in the last hour
Parameter Tuning	What does loose_polar_log_bin parameter mean
IMCI Parameters	How to configure IMCI related parameters for cluster pc-xxx
Primary-Standby	How to handle high primary-standby delay in cluster pc-xxx
Backup Recovery	When was the latest backup of cluster pc-xxx
Storage Optimization	What to do if storage usage of cluster pc-xxx grows too fast
Connection Troubleshooting	Cluster pc-xxx connections are full
Security Audit	Check security configuration of cluster pc-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 PolarDB clusters
• Change instance specifications
• Purchase/renew instances

API and Command Tables

See references/related-apis.md

Best Practices

1. Cluster ID Format: PolarDB cluster IDs typically start with pc-, include the full cluster 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, primary-standby 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

Reference	Description
references/cli-installation-guide.md	Aliyun CLI installation and configuration guide
references/related-apis.md	Related API and CLI command list
references/ram-policies.md	RAM permission policy list
references/verification-method.md	Success verification methods
references/acceptance-criteria.md	Acceptance criteria