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Run only stage 7 — emit a sibling .vortex next to each opted-in parquet. Use when the user asks to (re)convert parquet files to Vortex format without rebuilding from raw bytes.
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。
SOC 職業分類に基づく
| name | raincloud-convert |
| description | Run only stage 7 — emit a sibling .vortex next to each opted-in parquet. Use when the user asks to (re)convert parquet files to Vortex format without rebuilding from raw bytes. |
| argument-hint | <slug>... | --all |
| disable-model-invocation | true |
| allowed-tools | Bash(python -m scripts.pipeline.convert *) |
Run the convert-only entrypoint:
python -m scripts.pipeline.convert $ARGUMENTS
Selection (at least one required):
<slug>... — positional slugs--all — every dataset in the manifestBehavior:
convert.vortex: true in sources.json — others are reported as "no opt-in" and skipped.<slug>.vortex is newer than <slug>.parquet.outputs/v{n}/<slug>/vortex/<slug>.vortex.convert.vortex: true AND a hydrated parquet at outputs/v{n}/<slug>/parquet-hydrated/<slug>.parquet (produced by /raincloud-hydrate), this stage also writes outputs/v{n}/<slug>/vortex-hydrated/<slug>.vortex in the same run. Same opt-in flag governs both pairs.Known type-support gaps (vortex 0.69 — see SKILLS.md and docs/v1/vortex_skip.md):
FixedSizeBinary(N) not yet supported (blocks wikipedia-structured-contents's UUIDs; this is also why hydrate's _hydrate_provenance.sha256 is binary not fixed_size_binary[32]).Decimal128 works via the current pf.read() → vxio.write(table) path.After a convert run, suggest /raincloud-docs coverage_vortex columns_vortex to refresh the vortex-side derived docs.
Walk through adding a new dataset to sources.json and producing its first build. Use when the user wants to onboard a new upstream source, add a slug to the manifest, or extend the catalog.
Walk through writing a new transform handler under scripts/pipeline/handlers/. Use when the default tighten_types/identity paths can't produce the right shape — row-level JSON parsing, streaming to avoid OOM, multi-output splitting, or VARIANT-from-the-start.
Load a Raincloud dataset via the lightweight Python loader API (`raincloud.load(slug)`). Use when the user wants to read a prepared parquet/vortex artifact, inspect a slug's metadata, or pull a dataset for downstream analysis from cache → mirror → local build.
Push locally-built Raincloud artifacts to a mirror (`scripts.pipeline.publish`). Use when the maintainer wants to upload one or more slugs' parquet/vortex bytes to a configured mirror after a successful build, gated on the snapshot's recorded sha256.
Use when the user asks to compute or refresh per-column statistics for a raincloud dataset — produces `outputs/v1/<slug>/profile.json` for the TUI's detail pane and `list_datasets --inspect`.
Run the full Raincloud pipeline (fetch → extract → parse → transform → write → validate → convert) for one or more dataset slugs. Use when the user asks to build a dataset, rebuild a slug, or process a batch.