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数据仓库（大数据/数仓）全生命周期运维技能。覆盖单一事实来源定义、ETL/ELT管道构建、维度建模（星型模型/雪花模型/Data Vault）、数据质量检查、分区策略、成本/性能调优、数据治理、血缘追踪、SLA监控9大模块。支持主流云数仓（BigQuery/Snowflake/Redshift/Databricks/StarRocks/ClickHouse）和开源工具链（dbt/Airflow/Great Expectations/OpenLineage/DataHub）。触发词：数据仓库、数仓、DW、ETL、ELT、维度建模、星型模型、数据质量、分区策略、数仓调优、数据治理、血缘追踪、SLA监控、数仓运维、数据管道、data warehouse、dimensional modeling、data quality、data lineage。
数据仓库（大数据/数仓）全生命周期运维技能。覆盖单一事实来源定义、ETL/ELT管道构建、维度建模（星型模型/雪花模型/Data…
As a process D 45/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 17. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 45/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 2 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 72 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1920 tokens
- 100Progress reporting. Reports progress
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 375: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 72 items
- +4Has examples (7 code blocks)
- +4Reference files are cited in the instructions (6 of 6)
- +3All 7 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.