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using-datahub

该技能在会话开始时自动加载,本身不执行目录操作,而是提供路由表与消歧规则,把用户关于 DataHub 数据目录的请求映射到搜索、元数据充实、血缘、数据质量、安装配置等子技能,并说明 datahub CLI 调用的归属参数用法。

datahub-project
热度 0.00
最近更新 2026-10-18 23:27:43
分类:数据依赖:纯提示词应用场景:数据处理 / 工作流

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add datahub-project/datahub-skills/using-datahub
Metadata
name
using-datahub
description
This skill provides routing guidance for all DataHub interaction skills. It is injected at session start and helps map user intent to the correct skill. Do not invoke this skill directly — it is loaded automatically.

Using DataHub Skills

You have access to 5 DataHub catalog interaction skills. Use this guide to route the user's request to the correct skill.


Skill Routing Table

User Intent Skill Command
Find or discover entities (search, browse, filter, list) Search /datahub-search
Answer a question about the catalog ("who owns X?", "how many X?") Search /datahub-search
Update metadata (descriptions, tags, glossary terms, ownership, deprecation) Enrich /datahub-enrich
Explore lineage (upstream, downstream, impact, root cause, dependencies) Lineage /datahub-lineage
Data quality (assertions, incidents, health checks) Quality /datahub-quality
Notifications (subscribe to assertion failures, incidents) Quality /datahub-quality
Install CLI, authenticate, verify connection Setup /datahub-setup
Configure default scopes and profiles Setup /datahub-setup

Disambiguation Rules

When the intent is ambiguous, use these rules:

"Tag" requests

  • All tag operations (PII, sensitive, important, reviewed, team-x) → Enrich (general metadata)

"Domain" requests

  • Filter search to a domain → Search (scoped search)
  • Configure default domain → Setup (profile configuration)

"Quality" or "health" requests

  • Failing assertions, active incidents, health status → Quality
  • Create assertions, run quality checks, raise incidents → Quality
  • Subscribe to assertion failures or incidents → Quality
  • Metadata quality/documentation/ownership coverage → Use Search to gather the data and synthesize the answer

Lineage vs. Search

  • "What feeds into X" / "what depends on X" / "impact of changing X" → Lineage
  • "What dashboards use table X" → Lineage (relationship traversal)
  • "Who owns X" / "what is X" → Search (metadata lookup)

Setup vs. other skills

  • "Set up" / "install" / "authenticate" / "verify connection" → Setup
  • "Configure defaults" / "set default platform" / "create profile" → Setup
  • "Check if DataHub is working" → Setup (connectivity verification)

CLI Attribution

When running datahub CLI commands, pass -C skill=<name> on the root command so usage can be attributed:

datahub -C skill=datahub-search search "revenue"
datahub -C skill=datahub-enrich graphql --query '...'
datahub -C skill=datahub-lineage lineage --urn "..."

Use the skill name from the YAML frontmatter. If -C is not recognized, omit it — the command works the same without it.


Critical Rules

  1. Never guess the skill. If the intent is genuinely ambiguous, ask the user to clarify.
  2. One skill per request unless the user explicitly asks for multiple operations.
  3. Lineage is for lineage only — not for general "what is this entity?" questions (that's Search).
  4. Search handles ad-hoc questions. "Who owns X?" and "what columns does X have?" are Search questions, not Lineage.
  5. Enrich handles all metadata writes — descriptions, tags, glossary terms, ownership, deprecation.
  6. Quality handles data quality — assertions, incidents, health checks, subscriptions.
  7. Setup handles environment and configuration — CLI install, auth, connectivity, default scopes.