natural-japanese
Skill2 starsChanged 4 months agoNo licenceView on GitHub
仕事の日本語文書を読みやすくわかりやすく書く・直すためのスキル。議事録(文字起こしからの議事録化を含む)、調査レポート・分析レポート、社内ガイド・マニュアル、リサーチメモ・ディスカッションペーパー・企画書・提案書・報告書・メール、スライド構成案といったビジネス文書の作成・校正、「結論から書いて」「論旨を明確に」「見出しを端的に」「専門用語をわかりやすく説明して」といった指示のいずれでも使用する。AI臭さの除去(「AIっぽい」「AI臭い」「機械翻訳っぽい」「不自然」「もっと自然な日本語に」「機械っぽい」「人間っぽくして」「単調」「〜することができる、と言えるだろう、のような言い回し」といった直接・間接・口語の指摘、AIで書いたと言われた/疑われた)、読みにくい・わかりにくい文章の改善依頼(語順がおかしい、一文が長い、何が言いたいか分からない、読点の位置がおかしい等)、note記事やブログ記事・エッセイの新規執筆(任意のテーマをゼロから書く・書き起こす依頼を含む)、既存文章のリライト・推敲、AI臭さの診断・採点(「この文章AIが書いた?」「AI臭さをスコアで出して」「どれくらいAIっぽいか判定して」という書き換えを伴わない依頼)、自分の文体を学ばせたい・プロファイル化したいという要望(過去の文章を読ませて自分らしく書いてほしいという依頼も含む)にも対応する。禁止語の除去、リズムの単調さ・段落構造の均質さ・英語統語の直訳調に加え、語順・読点・一文一義・主語述語の距離といった読みやすさの原則にも対応する。技術文書の章構成やMarkdownフォーマットの整形自体(一文一行化・引用ブロック・脚注記法など)は対象外——それは別スキルの領域であり、本スキルは文章の自然さ・読みやすさ・わかりやすさに特化する。
7 other projects use a version of this, 4 of them edited; 1 new project in the last 4 weeks, against 1 the 4 before.
Adopted by
Steady: 1 new project took it in the last 4 weeks, 1× the 4 weeks before.thin data
Most recently taken up by
- yuiseki/GeoAI-master-skillstheir own version, first seen Nov 8, 2026
- coji/natural-japanesetheir own version, first seen Oct 25, 2026
- tsubasaogawa/skillsedited, first seen Oct 13, 2026
- kazuki-0418/agent-skillsword for word, first seen Sep 29, 2026
- redamoon/skillsedited, first seen Sep 17, 2026
- taiga-shiokawa/claude-skillsedited, first seen Sep 2, 2026
Other versions7 projects use a version of this.
Word for word · 1
- kazuki-0418/agent-skills★ 2100% same
Edited · 4
- ryonakae/sheltie★ 196% same
- redamoon/skills★ 066% same
- taiga-shiokawa/claude-skills★ 098% same
- tsubasaogawa/skills★ 034% same
Wrote their own version · 2
- coji/natural-japanese★ 2ksame name
- yuiseki/GeoAI-master-skills★ 3same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository58 other files it gives its agents.
- AGENTS.mdAGENTS.md
- adversarial-panelSkill
- agents-initSkill
- agent-swarmSkill
- chrome-useSkill
- codex-cliSkill
- codex-serverSkill
- confluenceSkill
- deepenSkill
- dev-workflowSkill
- diagnoseSkill
- dotnet-seniorSkill
- e2e-testSkill
- en-to-ja-explainerSkill
- figma-shot-boardSkill
- gdrive-cliSkill
- grill-meSkill
- grill-to-implSkill
- grill-with-docsSkill
- handoffSkill
- improve-codebase-architectureSkill
- japanese-tech-writingSkill
- jira-cliSkill
- local-skill-factorySkill
- logo-imageSkill
- my-gdriveSkill
- my-skill-factorySkill
- naturalize-jaSkill
- notion-cliSkill
- openai-cliSkill
- orch-qaSkill
- parallel-investigateSkill
- playwright-cliSkill
- pm-reviewSkill
- postmortemSkill
- prd-councilSkill
- prototypeSkill
- pr-reviewSkill
- recap-to-notionSkill
- review-localSkill
- scenario-genSkill
- self-pr-reviewSkill
- session-handoverSkill
- session-recapSkill
- session-watchSkill
- skill-improveSkill
- slack-cliSkill
- slack-to-ticketSkill
- subagent-genSkill
- tddSkill
- test-scenarioSkill
- to-prdSkill
- triageSkill
- ui-spec-simSkill
- well-arch-costSkill
- well-arch-reliabilitySkill
- well-arch-securitySkill
- zoom-outSkill
The file
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

