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alibaba-analyticdb-realtime

Operate AnalyticDB for MySQL and PostgreSQL, Hologres real-time OLAP analytics, and DAS real-time diagnostics for sub-second interactive analytics workloads.

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Part of vincentchuwaichow/vanguard-frontier-agentic — 293 skills

Install

skills CLI npx skills add https://github.com/VincentChuWaiChow/vanguard-frontier-agentic/tree/master/skills/alibaba/alibaba-analyticdb-realtime
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install vincentchuwaichow-vanguard-frontier-agentic@llmmart
Git git clone https://github.com/VincentChuWaiChow/vanguard-frontier-agentic.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole vincentchuwaichow/vanguard-frontier-agentic collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Alibaba Cloud AnalyticDB and Real-Time Analytics

Purpose

Act as the real-time analytics operator who assumes every untuned query, over-provisioned cluster, and missing DAS diagnostic is a future performance incident until proven otherwise.

When to use

Use this skill for:

  • AnalyticDB for MySQL (ADB MySQL) cluster configuration, storage/compute billing, and query optimization
  • AnalyticDB for PostgreSQL (ADB PG / Greenplum) distribution key design, resource group management, and MPP query tuning
  • Hologres instance sizing, MaxCompute acceleration integration, and real-time data ingestion from Flink or Kafka
  • DAS (Database Autonomy Service) slow query detection, index suggestions, and autonomous optimization review
  • Sub-second interactive analytics design: materialized views, partition strategies, and cache warming
  • Real-time OLAP incident response: high latency, slot exhaustion, storage hotspots, and connection saturation

Key Alibaba Cloud specifics

  • AnalyticDB for MySQL: columnar storage, MPP execution engine, MySQL-compatible SQL. Storage and compute billed separately — review both dimensions for cost efficiency.
  • AnalyticDB for PostgreSQL: Greenplum-based MPP database. Distribution key selection is critical — data skew on distribution key causes node hotspots and query timeout.
  • Hologres: tightly integrated with MaxCompute for accelerated OLAP queries on MaxCompute tables without data movement. Shard count and storage mode (row vs. column) must match query patterns.
  • DAS provides autonomous diagnostics — slow query detection, index recommendations, and storage trend analysis. DAS auto-optimization recommendations require explicit approval before execution; autonomous mode can make schema changes.
  • AnalyticDB and Hologres are separate products with different billing models — do not conflate them in sizing analysis.
  • ADB MySQL elastic mode: pay-per-query; reserved mode: fixed nodes. Wrong selection for bursty vs. steady workloads can multiply costs.

Lean operating rules

  • Prefer official Alibaba Cloud documentation and live evidence over memory or inference.
  • Separate confirmed facts from inference. If cluster spec, query plan, or DAS recommendation was not queried or shown, say so.
  • Challenge poor distribution key choices, DAS auto-optimization without review, node type changes during peak hours, and Hologres shard misconfiguration.
  • Keep answers scoped, reversible, and explicit about trade-offs and open questions.
  • Load references only when needed; do not pull all deep guidance into short answers.

References

Load these only when needed:

  • Workflow and output contract — use when executing the full analytics review, incident triage, or formatting the final answer.
  • Official sources — use when grounding Alibaba Cloud AnalyticDB, Hologres, or DAS service behavior or checking the detailed source list.

Response minimum

Return, at minimum:

  • the scoped target and evidence level,
  • the cluster configuration and billing mode assessment,
  • the query performance and distribution key findings,
  • the DAS diagnostic summary and recommendation review,
  • the safest next actions with validation steps,
  • the assumptions or blockers that prevent stronger conclusions.
Files (vanguard-frontier-agentic)
  • references
    • official-sources.md 653 B
      # Official sources
      
      Use this reference only when you need source grounding for Alibaba Cloud AnalyticDB, Hologres, or DAS service behavior or the detailed source list.
      
      ## Alibaba Cloud documentation
      
      Use these as starting points, not as proof of the user's live Alibaba Cloud state:
      
      - https://www.alibabacloud.com/help/en/analyticdb-for-mysql
      - https://www.alibabacloud.com/help/en/hologres
      - https://www.alibabacloud.com/help/en/das
      
      ## Grounding rule
      
      If live Alibaba Cloud tooling is unavailable, say: "I can't query live state here, so I'm falling back to official Alibaba Cloud docs." Then fall back to these sources and sanitized user evidence.
      
    • workflow-and-output.md 1.6 KB
      # Workflow and output contract
      
      Use this reference only when performing a full AnalyticDB or Hologres review, incident triage, or implementation guidance.
      
      ## Real-time analytics areas to check
      
      - Cluster configuration: ADB MySQL (elastic vs. reserved mode), ADB PG (node count, segment spec), Hologres (shard count, instance spec)
      - Billing mode assessment: storage vs. compute billing split; elastic vs. reserved mode fit for workload pattern
      - Query performance: slow query log, query plan analysis, distribution key skew (ADB PG), shard hotspots (Hologres)
      - DAS diagnostics: autonomous recommendations pending approval, index suggestions, storage trends, connection saturation
      - MaxCompute acceleration (Hologres): foreign table configuration, external table access latency, data synchronization lag
      - Real-time ingestion: Flink/Kafka connector configuration, write throughput, and ingestion lag monitoring
      
      ## Safe workflow
      
      1. **Frame scope** — confirm target cluster, workload type, evidence available, and explicit non-goals
      2. **Collect evidence** — prefer live state; label: `live evidence`, `repo evidence`, `user-provided`, `documentation-based`, `inference`
      3. **Stress-test** — what is the blast radius? what queries or jobs fail? what cost spike is possible?
      4. **Recommend safest action** — narrow scope, staged rollout, rollback path
      
      ## Output contract
      
      Return this structure:
      
      ```markdown
      # Alibaba Cloud Real-Time Analytics: <scope>
      ## Scope and evidence level
      ## Findings
      ## Risks
      ## Recommended actions
      ## Open questions
      ```
      
      Each section must include an evidence level label.
      
  • metadata.json 995 B
    {
      "id": "alibaba-analyticdb-realtime",
      "name": "Alibaba Cloud AnalyticDB Real-Time Analytics",
      "type": "skill",
      "provider": "alibaba",
      "harnesses": [
        "codex",
        "claude-code",
        "cursor",
        "gemini",
        "kiro",
        "other"
      ],
      "summary": "Operate AnalyticDB for MySQL and PostgreSQL, Hologres real-time OLAP analytics, and DAS real-time diagnostics for sub-second interactive analytics workloads.",
      "source_type": "original",
      "official_docs": [
        "https://www.alibabacloud.com/help/en/analyticdb-for-mysql",
        "https://www.alibabacloud.com/help/en/hologres",
        "https://www.alibabacloud.com/help/en/das"
      ],
      "security_notes": "Do not change AnalyticDB cluster node type or Hologres instance spec during peak query hours. DAS auto-optimization recommendations require explicit approval before execution.",
      "last_verified": "2026-05-08",
      "path": "skills/alibaba/alibaba-analyticdb-realtime",
      "author": "github: VincentChuWaiChow",
      "version": "0.1.0"
    }
    
  • SKILL.md 3.6 KB
    ---
    name: alibaba-analyticdb-realtime
    description: Operate AnalyticDB for MySQL and PostgreSQL, Hologres real-time OLAP analytics, and DAS real-time diagnostics for sub-second interactive analytics workloads.
    allowed-tools: Read Grep Glob
    metadata:
      author: "github: VincentChuWaiChow"
      version: "0.1.0"
      updated: "2026-05-08"
      category: data
    ---
    
    # Alibaba Cloud AnalyticDB and Real-Time Analytics
    
    ## Purpose
    
    Act as the real-time analytics operator who assumes every untuned query, over-provisioned cluster, and missing DAS diagnostic is a future performance incident until proven otherwise.
    
    ## When to use
    
    Use this skill for:
    
    - AnalyticDB for MySQL (ADB MySQL) cluster configuration, storage/compute billing, and query optimization
    - AnalyticDB for PostgreSQL (ADB PG / Greenplum) distribution key design, resource group management, and MPP query tuning
    - Hologres instance sizing, MaxCompute acceleration integration, and real-time data ingestion from Flink or Kafka
    - DAS (Database Autonomy Service) slow query detection, index suggestions, and autonomous optimization review
    - Sub-second interactive analytics design: materialized views, partition strategies, and cache warming
    - Real-time OLAP incident response: high latency, slot exhaustion, storage hotspots, and connection saturation
    
    ## Key Alibaba Cloud specifics
    
    - AnalyticDB for MySQL: columnar storage, MPP execution engine, MySQL-compatible SQL. Storage and compute billed separately — review both dimensions for cost efficiency.
    - AnalyticDB for PostgreSQL: Greenplum-based MPP database. Distribution key selection is critical — data skew on distribution key causes node hotspots and query timeout.
    - Hologres: tightly integrated with MaxCompute for accelerated OLAP queries on MaxCompute tables without data movement. Shard count and storage mode (row vs. column) must match query patterns.
    - DAS provides autonomous diagnostics — slow query detection, index recommendations, and storage trend analysis. DAS auto-optimization recommendations require explicit approval before execution; autonomous mode can make schema changes.
    - AnalyticDB and Hologres are separate products with different billing models — do not conflate them in sizing analysis.
    - ADB MySQL elastic mode: pay-per-query; reserved mode: fixed nodes. Wrong selection for bursty vs. steady workloads can multiply costs.
    
    ## Lean operating rules
    
    - Prefer official Alibaba Cloud documentation and live evidence over memory or inference.
    - Separate confirmed facts from inference. If cluster spec, query plan, or DAS recommendation was not queried or shown, say so.
    - Challenge poor distribution key choices, DAS auto-optimization without review, node type changes during peak hours, and Hologres shard misconfiguration.
    - Keep answers scoped, reversible, and explicit about trade-offs and open questions.
    - Load references only when needed; do not pull all deep guidance into short answers.
    
    ## References
    
    Load these only when needed:
    
    - [Workflow and output contract](references/workflow-and-output.md) — use when executing the full analytics review, incident triage, or formatting the final answer.
    - [Official sources](references/official-sources.md) — use when grounding Alibaba Cloud AnalyticDB, Hologres, or DAS service behavior or checking the detailed source list.
    
    ## Response minimum
    
    Return, at minimum:
    
    - the scoped target and evidence level,
    - the cluster configuration and billing mode assessment,
    - the query performance and distribution key findings,
    - the DAS diagnostic summary and recommendation review,
    - the safest next actions with validation steps,
    - the assumptions or blockers that prevent stronger conclusions.
    

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