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Project-wide rules for the dlthub-start repo. ALWAYS read before modifying any file in this codebase.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/dlt-hub/dlthub-start --skill repo-rulesコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
SKILL.md を表示中
| name | repo-rules |
| description | Project-wide rules for the dlthub-start repo. ALWAYS read before modifying any file in this codebase. |
Read these before editing anything in this repo.
The vendored AI workbench files under
src/create_dlthub_workspace/scaffolds/minimal_workspace/_agents/** (Claude,
Cursor, and Codex) are auto-generated by make generate-ai (and
make update-ai) from the pinned WORKBENCH_REF. Never edit them directly —
make check-ai will fail on the drift, and your change is overwritten on the
next regeneration.
To change that content, edit the upstream dlt-hub/dlthub-ai-workbench source,
then bump/regenerate here via make update-ai (or make generate-ai against
the already-pinned ref) and commit the regenerated scaffold.
The entry point for building anything with dlthub. Use this skill to route the user to the right workflow toolkit and install it on demand. MUST use when the user asks 'what can you do', 'what can I build', 'what are toolkits', 'how do I build a pipeline', 'I want to pull data from a REST API', 'ingest from a SQL database', 'load CSVs from S3', 'make reports / dashboards', 'transform / model my data', 'add data quality checks', 'how do I deploy / schedule a pipeline', 'I'm new to dlthub', 'where do I start', or seems unsure what to do next after setup. Also use whenever the user expresses a data-engineering goal but no matching workflow toolkit is installed yet — this skill installs it on demand. Do NOT use when the toolkit matching the user's intent is already installed — go straight to its entry skill instead; only route/install when the matching toolkit is missing. Do NOT use when a specific task is already in progress (debugging a pipeline, validating data, adding endpoints) and its toolkit is installed.…
ALWAYS read and follow this skill before acting. setup
ALWAYS read and follow this skill before acting. One-shot workflow
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