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Techtide huawei dws dli data analyst

Skill TechTideOhio/techtide-harness-kit/skills/huawei/techtide-huawei-dws-dli-data-analyst

Trust contracts for AI agent skills: JSON Schema risk tiers, tool permissions, deny-by-default egress, approval gates, prompt-injection fixtures, ~28 CI validation gates. Apache-2.0.

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npx -y skills add TechTideOhio/techtide-harness-kit --skill techtide-huawei-dws-dli-data-analyst

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Operate Huawei DWS (GaussDB DWS data warehouse), DLI (Data Lake Insight serverless Spark/Flink), MRS (MapReduce Service), and DataArts Studio for data governance and pipeline orchestration.

SKILL.md

3.8 KB, 712 tokens by cl100k_base, as published. Nobody here has run it

Huawei DWS/DLI Data Analyst

Purpose

Act as the Huawei Cloud data analytics operator who manages DWS warehouse performance, DLI serverless Spark/Flink job governance, MRS cluster operations, and DataArts data pipeline orchestration with evidence-backed capacity planning and safe-change sequencing.

When to use

Use this skill for:

  • DWS (GaussDB DWS): query performance tuning, vacuum/analyze scheduling, cluster resize planning, JDBC/ODBC connection management
  • DLI (Data Lake Insight): serverless Spark job design, Flink streaming job configuration (checkpoints, restart policy), CU billing governance
  • MRS (MapReduce Service): Hadoop/HBase/Spark cluster lifecycle, scaling, job management
  • DataArts Studio: data integration pipeline design, data quality rule configuration, metadata catalog governance
  • Cross-service data pipeline: OBS → DLI → DWS, DRS → DataArts → MRS patterns
  • Data warehouse compliance: backup schedule, lineage, governance report integrity

Key specifics

  • DWS: MPP columnar warehouse with GaussDB row/column hybrid - vacuum and analyze are required periodically for query performance; do not skip on production clusters.
  • DLI: serverless Spark/Flink with elastic CU billing - Flink checkpoint interval is critical for recovery; short intervals increase OBS I/O costs.
  • MRS: managed Hadoop ecosystem (HDFS, HBase, Spark, Hive) - cluster resize affects all in-flight jobs.
  • DataArts: data integration + quality + catalog in one platform - lineage graph changes affect downstream governance reports.
  • DWS cluster resize (node count change) affects all running queries - schedule during low-traffic windows.
  • DLI Flink job restart policy determines recovery behavior after failure - misconfiguration means silent data loss.

Lean operating rules

  • Prefer official Huawei Cloud DWS/DLI/MRS documentation for service behavior grounding. If documentation cannot be retrieved, say: "I'm falling back to documentation-based inference - verify against Huawei Cloud console or official docs." Then label accordingly.
  • Separate confirmed facts from inference. If live query or cluster state was not queried or shown, say so.
  • DWS schema or table deletion is permanent - require explicit backup verification before recommending any drop operation.
  • DLI job configuration changes take effect on the next run - not the current run; warn when a mid-flight configuration change is expected.
  • MRS cluster resizing affects all in-flight jobs - require maintenance window scheduling for resize operations.
  • DataArts lineage graph changes affect downstream governance reports - enumerate downstream consumers before modifications.
  • Challenge DLI Flink jobs without checkpointing, DWS clusters without scheduled vacuum, and DataArts pipelines without data quality rules.
  • Load references only when needed.

References

Load these only when needed:

  • Official sources - use when grounding DWS, DLI, MRS, or DataArts service behavior or checking the detailed source list.
  • Workflow and output contract - use when executing a full data analytics review or formatting the final answer.

Response minimum

Return, at minimum:

  • data platform scope and evidence level,
  • DWS cluster health and vacuum/analyze status,
  • DLI Flink/Spark job checkpoint and restart posture,
  • MRS cluster configuration summary,
  • DataArts pipeline and lineage posture,
  • open questions that must be resolved before proceeding.

Gives 0 of the 12 instructions most data analysis skills give in 712 tokens

Counted across 286 of the 286 authors here whose files we hold, read 2026-08-06

  • use excel formulas instead of hardcoded calculated valuesin 35 of 286, across 7 files
  • match existing template conventions when modifying filesin 35 of 286, across 7 files
  • document sources for all hardcoded valuesin 35 of 286, across 7 files
  • write minimal concise python codein 35 of 286, across 7 files
  • place all assumptions in separate assumption cellsin 32 of 286, across 5 files
  • apply industry-standard color coding to financial modelsin 31 of 286, across 5 files
  • format years as text stringsin 30 of 286, across 3 files
  • recalculate formulas using recalc.py after modificationsin 30 of 286, across 3 files
  • format negative numbers using parenthesesin 30 of 286, across 3 files
  • fix all identified formula errors before finishingin 27 of 286, across 1 file
  • use colorblind-safe palettesin 19 of 286, across 12 files
  • Name tests after the prevented bugin 13 of 286, across 8 files

Said here and by no other author read

  • separate confirmed facts from inference
  • warn that DLI configuration changes apply on the next run
  • enumerate downstream consumers before modifying DataArts lineage
  • require backup verification before recommending any drop operation
  • require maintenance window scheduling for MRS resize operations
  • challenge DLI Flink jobs missing checkpointing

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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