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FormosanBank
GitHub クリエイタープロフィール

FormosanBank

1 件の GitHub リポジトリにある 6 件の収集済み skills をリポジトリ単位で表示します。

収集済み skills
6
リポジトリ
1
更新
2026-06-15
リポジトリマップ

skills がある場所

収集済み skill 数が多いリポジトリを、このクリエイターカタログ内の比率と職業範囲とともに表示します。

リポジトリエクスプローラー

リポジトリと代表的な skills

run-qc-pipeline
ソフトウェア開発者

Run the canonical QC pipeline on a Formosan-<CORPUS> dev repo. Sequences clean_xml → orthography_detector (HUMAN INPUT) → standardize → add_phonology → validators, producing a README-style summary at the end. Use when a corpus dev repo needs QC before porting into FormosanBank.

2026-06-15
audit-dev-repo
ソフトウェア開発者

Guided audit of an assistant-built corpus dev repo (../Formosan-<Name>/) before QC + porting. Reads the assistant's preprocessing, maps it onto our current pipeline, runs our validators on its output, and diffs its original tier against the source for dropped characters/punctuation and ungrammatical artifacts — pausing for the maintainer's judgment. Use when starting to review a new dev repo's preprocessing.

2026-06-15
port-corpus-in
ソフトウェア開発者

Move a QC'd corpus from its Formosan-<CORPUS>/ dev repo into FormosanBank/Corpora/<Name>/ with the standard layout, interactively. Surfaces decisions rather than guessing. Use when a corpus has passed QC and is ready for publication into FormosanBank.

2026-06-15
setup-new-dev-repo
ソフトウェア開発者

Bootstrap a new Formosan-<CORPUS>/ development repository with the standard layout, Python environment, gitignore, README scaffold, and Claude Code safety rails. Use when starting work on a new corpus that doesn't already have its own dev repo.

2026-06-15
refresh-audio-stats
ソフトウェア開発者

Recompute a single corpus's audio-duration stats by pulling its audio from Hugging Face, then deleting the audio. Use when a corpus's audio has changed (or get_corpus_stats --report-stale-audio flags it) and its statistics/audio_durations.csv seconds need refreshing. Never part of CI or a normal merge.

2026-06-12
sample-sentences-for-expert-review
ソフトウェア開発者

Pull N random <S> elements from a published FormosanBank corpus and format them as a print/email-ready markdown report for a human expert to spot-check (translation quality, naturalness, content accuracy — things no automated validator can catch). Wraps QC/utilities/sample_sentences.py and walks the maintainer through generating + sending the sample. Use when you want a manual expert review of a corpus's contents.

2026-06-12
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