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GitHub クリエイタープロフィール

autoshow

1 件の GitHub リポジトリにある 5 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
5
リポジトリ
1
更新
2026-07-01
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

consensus
ソフトウェア開発者

Use this skill when the user needs a gold-reference extraction/transcript, consensus evaluation, or provider comparison report from a multi-provider AutoShow image, music, OCR, STT, text/write, TTS, URL, or video run. Apply it to build category-specific consensus packets, generate reports, and compare providers with category-appropriate ranking and tier summaries.

2026-07-01
clean-script
テクニカルライター

Normalize AutoShow episode script Markdown without changing story content. Use when Codex needs to clean, format, or validate AutoShow script files, especially Markdown under input/episode-scripts/**, by enforcing the project script shell, speaker/delivery spacing, parenthetical formatting, line whitespace, and final-newline rules.

2026-06-15
clean-transcript
一般事務員

Use this skill when the user wants an ASR, meeting, interview, podcast, video, call, or voice-note transcript cleaned without changing meaning. Apply it for duplicate-word removal, filler cleanup, punctuation, grammar and spelling repair, timestamp or speaker-label preservation, and reconciliation against alternate provider transcripts -- even if the user simply says "clean this up" or "fix this text" and the input is clearly a transcript.

2026-06-15
ocr-clean
DTPオペレーター

Clean raw OCR output into the most accurate, faithful text representation of a source document for archiving, reference, and search (not narration). Use when working on OCR-derived exports, scanned-book pages, or extraction.txt/chapter files that need artifact repair, hyphenation rejoining, structure preserved as lightly-structured Markdown, and footnotes/citations kept intact while preserving original wording.

2026-06-15
tts-batch-polish
一般事務員

Use this skill when the user wants long-form plaintext prepared for natural, service-agnostic text-to-speech narration. Apply it to OCR-derived EPUB exports, book chapters, articles, or chapter text files that need artifact removal, paragraph repair, punctuation cleanup, footnote removal, boundary continuity checks, and pronunciation-friendly edits while preserving meaning.

2026-06-15
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