v0.1.0 — initial public release

Initial public release.

Raincloud is a client-reproducible pipeline for building a curated catalog
of public datasets as analytics-ready Parquet + Vortex files. See
README.md for the user-facing overview,
AGENTS.md for the architecture, and
SKILLS.md for procedural playbooks.

This release bundles:

• The 7-stage build pipeline (fetch → extract → parse → transform → write
  → validate → convert) plus the optional opt-in hydrate stage.
• 249 dataset specs across 5 families (direct, kaggle-upstream,
  nyc-tlc, public-bi, uci).
• 24 named transform handlers covering CSV / Parquet / JSONL / XML / PBF /
  custom-format upstreams plus streaming variants for memory-constrained
  shapes.
• A read-only Textual TUI for browsing the catalog
  (python -m scripts.pipeline.browse, requires --extra tui).
• Per-dataset Vortex conversion via the convert.vortex flag.
• Apache License 2.0, with SPDX file headers on all Python sources.
• Governance: SECURITY.md, CONTRIBUTING.md, CODE_OF_CONDUCT.md
  (Contributor Covenant 2.1), DISCLAIMER.md (AS IS posture, content
  and license disclaimers, dataset-removal reporting), and
  HYDRATING.md (policy for the optional hydrate stage).
• Tooling: ruff lint (rules E, F, W, I) + GitHub Actions CI
  (.github/workflows/ci.yml) running lint, manifest validation, and
  pytest on every push and PR to develop.
• Dataset-removal issue template
  (.github/ISSUE_TEMPLATE/dataset-removal.yml) — structured form for
  the channel DISCLAIMER.md points readers at.
• Pull-request template (.github/pull_request_template.md) prompting
  for summary, test-plan checkbox list against the standard pre-PR gate,
  and change-type tags.
• CITATION.cff — GitHub-native citation metadata; surfaces the "Cite
  this repository" button in the repo sidebar with BibTeX / APA / Chicago
  exports.