菜单
Walk a data lake/warehouse filesystem or ingest Fabric/Power BI inventory JSON into DEKC.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/SpillwaveSolutions/data-engineering-knowledge-capture --skill dekc-walk命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Capture a table with columns, layer, schema into DEKC/OKF.
Grade reverse-engineering quality with automated rubric scores and adversarial judge protocol. Use after walks, before claiming RE complete.
Use the DEKC second brain to plan landing new stream or batch data into bronze (and beyond) with sources, jobs, contracts, and lineage.
正在显示 SKILL.md
| name | dekc-walk |
| description | Walk a data lake/warehouse filesystem or ingest Fabric/Power BI inventory JSON into DEKC. |
dekc_walk.py is a filesystem mirror walker plus optional control-plane JSON ingest.
It does not call Fabric REST itself.
# Git SQL / parquet mirror
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_walk.py" <path-to-lake> \
--repo . --bundle knowledge --source-name <name>
# Fabric workspace items + Power BI bindings (export JSON first)
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dekc_walk.py" \
--fabric-items workspace-items.json \
--pbi-bindings pbi-reports.json \
--inventory information-schema.json \
--workspace data_central_ws \
--repo . --bundle knowledge
Then lineage + business promote + index (see data-lake-walker agent).
CREATE TABLE with no FROM is reported as DDL-only, not “no lineage”.Report captures as DEKC Report, not Dashboard.dekc_grade.py --prefix semantic,tables/gold- (or --tag) rather than scoring 15k SAC nodes.