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hachiwar

@hachiwar source repo

4 published skills

  1. ▌
    Fix Unicode Decode · hachiwar bundle
    Diagnose and fix UnicodeDecodeError, UnicodeEncodeError, mojibake, and corrupted Chinese text in Codex coding tasks. Use when Python or another tool cannot decode a file or subprocess stream; Chinese text displays as replacement characters or strings such as "中文" or "涓枃"; file, terminal, CSV, JSON, HTTP, Git, or Windows encoding behavior is unclear; or a repository needs a safe migration to UTF-8.
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  2. ▌
    Chinese Document Style · hachiwar bundle
    Create, edit, review, or standardize Simplified Chinese documents using formal academic and technical writing conventions. Use when Codex needs to draft or revise Chinese Markdown, README files, reports, papers, specifications, product documentation, or other prose; correct Chinese-English spacing, full-width punctuation, numbers, units, terminology, headings, paragraphs, lists, tables, links, citations, or code formatting; remove colloquial, promotional, or AI-like wording; or enforce a consistent Chinese editorial style without changing technical meaning.
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  3. ▌
    Claude Fix Unicode Decode · hachiwar bundle
    Diagnose and fix UnicodeDecodeError, UnicodeEncodeError, mojibake, and corrupted Chinese text in Claude Code tasks. Use this skill whenever a file, command, test, CSV, JSON, HTTP response, Git diff, or Windows terminal shows broken Chinese, replacement characters, strings such as "中文" or "涓枃", an unknown codec, or any decode/encode exception. Use it even when the user only says Chinese text is garbled or a file cannot be read.
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  4. ▌
    Claude Chinese Document Style · hachiwar bundle
    Create, edit, review, or standardize Simplified Chinese documents in Claude Code using formal academic and technical writing conventions. Use whenever Chinese Markdown, README files, reports, papers, specifications, product documentation, or prose needs correction of Chinese-English spacing, punctuation, numbers, units, terminology, headings, paragraphs, lists, tables, links, citations, or code formatting; removal of colloquial, promotional, or AI-like wording; or consistent editorial revision without changing technical meaning.
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