「prose」の検索結果

Prose quality checker for Quarto (.qmd) files, grounded in William Zinsser's *On Writing Well* (30th Anniversary Edition). Checks for clutter, weak verbs, hollow qualifiers, clichés, inflated academic voice, poor leads and endings, pronoun and tense inconsistency, and unclear explanation. Produces a structured markdown report organized by document section — never modifies the source file. Use when asked to improve prose quality, tighten writing, reduce clutter, or apply Zinsser's writing principles to a draft. For grammar and punctuation, use the proofread skill. For APSA style rules, use the apsa-style skill. Supports an optional output-file argument and an optional @sec-label argument to restrict checking to one section.

日本語の概要は準備中です。原文の説明を表示しています。

Writing rules for the regelrecht docs site (docs/). Use when writing or editing prose under docs/ — RFCs, guides, component docs, concept pages, and the NL/EN landing copy. Keeps docs prose free of AI-generated tells and consistent with the site's government-technical register. Not for code, commit messages, or PR descriptions.

日本語の概要は準備中です。原文の説明を表示しています。

Universal prose writing and audit skill. Apply for writing, editing, or reviewing prose, and for explicit requests to score text or flag formulaic AI-writing patterns. Do not activate for ordinary factual, code, or configuration tasks.

日本語の概要は準備中です。原文の説明を表示しています。

N-round adversarial review pipeline for empirical research output — the chain from data to LaTeX tables to a manuscript that cites them. A Claude drafter proposes minimal diffs, a deterministic mechanical battery gates every diff from a clean state with a regression gate, a Codex reviewer files check-backed critiques, and a blind judge panel decides residual disputes. Manual-invoke ONLY: trigger when the user explicitly runs /adversarial-empirical-review or names 'adversarial-empirical-review' / 'adversarial empirical review'. Do NOT auto-trigger on generic 'review my results', 'check my tables', or manuscript-editing requests. For prose-style refinement use style-emulation instead; this skill AUDITS WHETHER THE TABLES ARE CORRECT — that each number in the tables is what the analysis code computes, reproduces from the data, and is internally consistent. It is an empirical + code review: the manuscript is read only to resolve table numbering, and prose is not examined.

日本語の概要は準備中です。原文の説明を表示しています。

자연스럽고 일관된 한국어 산문을 작성하거나 교정합니다. 커밋과 PR 본문, README와 기술 문서, UI 문구, 여러 줄 코드 주석이 대상입니다. "한국어로 써 줘", "말투를 고쳐 줘", "PR 본문을 작성해 줘", "번역투를 없애 줘" 같은 요청과 한국어 산문을 새로 쓰거나 다듬는 모든 상황에서 사용합니다. 짧은 한 줄 주석과 변수명에는 사용하지 않습니다.

日本語の概要は準備中です。原文の説明を表示しています。

Assemble a finished piece from human-written fragments via an orchestrated two-loop pipeline - an assembly loop (assembler + cold reviewer) that sequences the fragments into a draft, then a polish loop (polisher + cold reviewer), then frequency analysis and a catalog-deslop pass with a regression gate. Two modes with opposite fidelity contracts - stitch mode preserves the author's exact wording, narrative mode preserves every idea but may rewrite freely. Use when the user says "mosaic", "assemble my fragments", "stitch these notes into a post", or provides a fragments file to turn into a finished piece. For writing from a topic with research, use article-factory; for prose from scratch, use the prose skill.

日本語の概要は準備中です。原文の説明を表示しています。

Workflow Phase 10 — orchestrator for documentation work. Surveys the diff, routes any page on a documentation surface through `technical-writer`, standalone technical reference through the `documentation` skill, tutorials through `technical-tutorials`, and all other prose body work (inline docs, README updates, user-facing copy) through the `prose` skill (which mandates `humanizer` and conditionally `copywriting`). Verifies completeness and marks phase done.

日本語の概要は準備中です。原文の説明を表示しています。

Use when writing, reviewing, restoring, trimming, or auditing prose in the deepseek-harness repo, including deciding where documentation or comments are required across Markdown, JSDoc, code and test comments, prompts, descriptions, diagnostics, and CLI or UI strings.

日本語の概要は準備中です。原文の説明を表示しています。

Draft and revise evidence-grounded academic manuscripts with adaptable author preferences. Use for section writing, implementing structural edits, claim calibration, citation-integrated prose, prose cleanup, standalone review excerpts, and LaTeX template migration. Use paper-review for critique or author responses, and paper-figures-tables for final visual artifacts.

日本語の概要は準備中です。原文の説明を表示しています。

日本語の文書を、読み手が見つけ・理解し・使えるように、新規に書く、書き直す、添削する、評価する。レポート、提案書、手順書、設計書、メール、社内文書、AI生成文が対象。「分かりやすく書いて」「手順書を書いて」「書き直して」「読みやすくして」「添削して」「分かりにくい所を教えて」「点数をつけて」「やさしい日本語にして」「ASD-STE100の日本語版のように」などの依頼で、標準名を挙げていなくても使う。Use when writing, rewriting, proofreading, or scoring Japanese prose for clarity and plain language.

Use when the deliverable is authored or edited prose whose wording matters (docs, READMEs, release notes, public copy) or when the user asks to tighten, de-AI, or review writing. Not for chat answers, code review, or explanations of current work.

日本語の概要は準備中です。原文の説明を表示しています。

Prose final-pass editor for GitHub issue bodies, pull request bodies, release notes, README/docs changes, public comments, and user-facing explanations. Use when Codex drafts or revises substantial prose that will be published or committed, especially when the user asks to polish, de-slop, make it less AI-written, improve a PR/issue body, or prepare docs text; do not use for ordinary code implementation, debugging transcripts, logs, quoted text, command output, API names, or Chinese conversational replies unless explicitly requested.

日本語の概要は準備中です。原文の説明を表示しています。

Hard-edged writing style contract for timeless, forceful English prose without AI tics

日本語の概要は準備中です。原文の説明を表示しています。

Review docs/prose for Writing Guidelines compliance. Use when asked to "review my docs", "check writing style", "audit prose", "review docs voice and tone", or "check this page against the writing handbook".

日本語の概要は準備中です。原文の説明を表示しています。

Remove AI writing patterns and enforce rigorous technical-prose conventions in Japanese. Derived from hardikpandya/stop-slop + k16shikano japanese-tech-writing. NEVER 33 + 論証と構成の規範 + 用語と register の自然さ + クイックチェック 28 + 5 軸スコアリング + 翻訳調 AI 語の検出を含む。Use when drafting, editing, or reviewing Japanese text to eliminate predictable AI tells and tighten argumentation.

Help the user understand the current topic visually with concise diagrams, code-shape sketches, and focused HTML artifacts. Use when the user asks to show / diagram / visualize / sketch / illustrate what is going on, asks "what does this look like", "how does this flow", "show me the structure", or in Japanese 図で見せて / 図解して / 図にして / 構造を見せて / フローを見せて / 全体像を見せて / どうつながってるか見せて. Also use it proactively when an explanation is running long and a call tree, file tree, component tree, diff, Mermaid diagram, or a small HTML artifact would land faster than prose.

Review docs/prose for Writing Guidelines compliance. Use when asked to "review my docs", "check writing style", "audit prose", "review docs voice and tone", or "check this page against the writing handbook".

日本語の概要は準備中です。原文の説明を表示しています。

文章を書くときに使う。ユーザーが既にある文章を渡した場合、AI特有の読みにくさをレビューし、指摘をすべて修正する。Writes and reviews prose for AI writing patterns and rewrites it.

Substackの編集画面（Tiptap/ProseMirror）で、指摘済みの誤字脱字などの修正リストをスクリーンショット操作なしで高速に反映するスキル。jp-checkの校正結果をSubstack下書きに適用するときなどに使う。

Revise the Harbor Book so prose, drawings, and marginalia explain the same argument without unpublished development-document dependencies. Use for chapter additions, substantive rewrites, caption editing, visual exposition, and eliminating internal ADR citations.

日本語の概要は準備中です。原文の説明を表示しています。

製品の要望や企画書を、開発に着手できる具体的な要件へ整理します。業務ルール、データ、サービス間の接点、未決事項を明文化し、次の担当へ引き継ぎます。

• 製品要求書を開発要件に落としたいとき
• 複数サービスにまたがる機能の要件整理
• レビューで繰り返す前提の文書化

記事やガイド、ニュースレターを、提供された文例やブランドの文体に合わせて執筆します。メモや調査資料の文章化から、既存原稿の構成・根拠の見直しまで扱います。

• メモや文字起こしを記事にしたいとき
• ブランドの文体でガイドを書きたいとき
• 既存原稿の構成と根拠を見直したいとき

Create and maintain agent-authored Paperclip status cards, or compile a prose interest prompt into bounded CompanySearchQuery objects and write the first summary from the assigned Summarizer run.

日本語の概要は準備中です。原文の説明を表示しています。

Use this when fulfilling claude-mem observer jobs on Grok Bot: reply only skip_summary or one full observation XML, never prose.

日本語の概要は準備中です。原文の説明を表示しています。