翻訳待ち：Top 5 Claude Skills for Writing (Ranked by GitHub Stars)

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--> Top 5 Claude Skills for Writing (Ranked by GitHub Stars) India's Most Futuristic AI Conference Is Back – Bigger, Sharper, Bolder d : h : m : s Career GenAI Prompt Engg ChatGPT LLM Langchain RAG AI Agents Machine Learning Deep Learning GenAI Tools LLMOps Python NLP SQL AIML Projects Reading list How to Become a Data Analyst in 2025: A Complete RoadMap A Comprehensive Learning Path to Tableau in 2025 A Comprehensive NLP Learning Path 2025 Learning Path to Become a Data Scientist in 2025 Step-by-Step Roadmap to Become a Data Engineer in 2025 A Comprehensive MLOps Learning Path: 2025 Edition Roadmap to Become an AI Engineer in 2025 A Comprehensive Learning Path to Master Computer Vision in 2025 Best Roadmap to Learn Generative AI in 2025 GenAI Roadmap for Enterprises Large Language Models Demystified: A Beginner’s Roadmap Learning Path to Become a Prompt Engineering Specialist Top 5 Claude Skills for Writing (Ranked by GitHub Stars) Vasu Deo Sankrityayan Last Updated : 05 Aug, 2026 5 min read Search “best Claude Skills for writing” and you get lists padded with skills that write commit messages and internal status reports. Useful things. Not writing. This list only includes repositories that exist for writing. Every entry is a repository whose entire reason for being is writing or editing, which means its star count measures the thing you care about. Here are some of the best writing agent skills (ranked by their popularity) that help distinguish your writing from a mere: AI-slop! Note: All figures pulled from the GitHub on 5th August 2026. Table of contents 1. stop-slop | ★ 15,199 2. humanizer | ★ 33,700 3. AI-Research-SKILLs | ★ 11,400 4. oh-story-claudecode | ★ 5,080 5. claude-blog | ★ 1,579 Installing them in Claude Code Final Thoughts Frequently Asked Questions 1. stop-slop | ★ 15,199 hardikpandya/stop-slop · 1,082 forks The most-starred writing skill on GitHub, and it’s one SKILL.md plus three reference files. It works because it refuses to tell the model to “sound more human.” It ships lists instead: phrases.md bans throat-clearing openers, emphasis crutches, business jargon, every adverb, vague declaratives, meta-commentary structures.md bans binary contrasts, negative listings, dramatic fragmentation, rhetorical setups, false agency, passive voice Sentence rules bans em dashes, staccato fragments, and lazy extremes like “every” and “never” Then it scores the result 1 to 10 on directness, rhythm, trust, authenticity, and density. Below 35 out of 50, revise. That’s a check the model runs against itself, which is what separates a skill from a suggestion. Best for: Final pass on anything drafted with AI help. 2. humanizer | ★ 33,700 blader/humanizer · 1,005 forks Thirty-three numbered patterns, each with a before and after example, all drawn from Wikipedia’s Signs of AI Writing guide. The early versions went after obvious vocabulary, but later releases moved to rhythm: subjectless fragments, manufactured punchlines, the chatty rhetorical opener that answers its own question, and em dashes cut outright rather than merely rationed. Two things it does that stop-slop doesn’t: Voice matching: Paste two or three paragraphs of your own writing first. It reads your sentence rhythm, word choices, and quirks, then rewrites toward those instead of toward generic clean prose. Most anti-slop skills flatten everything to the same neutral register. This one aims at yours. A second pass: After rewriting, it runs an “obviously AI generated” audit over its own output and rewrites again, on the theory that the first pass leaves tells. Best for: Everything. Default Claude responses are on the verge of AI-slop themselves. Adding this skills, helps giving them a humane touch. 3. AI-Research-SKILLs | ★ 11,400 Orchestra-Research/AI-Research-SKILLs · 833 forks Ninety-eight skills across 23 categories, built to let an agent run the full AI research lifecycle from literature survey to submitted paper. Most of it is engineering: Megatron, vLLM, TRL, Flash Attention, quantization. Not writing. But three of its categories are, and they’re stronger than most standalone writing repos: Academic Plotting generates publication-quality figures with venue-specific styling, covering both architecture diagrams and matplotlib data charts. Ideation has two skills for the blank-page problem. Research Brainstorming runs ten complementary lenses over a topic. Creative Thinking applies bisociation, structure-mapping and constraint manipulation. ARA Rigor Reviewer scores a draft across six dimensions of research rigor, including falsifiability, scope calibration, argument coherence and methodological rigor, then issues a severity-ranked report ending in an accept-to-reject recommendation. 4. oh-story-claudecode | ★ 5,080 worldwonderer/oh-story-claudecode · 687 forks 13 times the stars of my fiction entry, and a better idea of what fiction writing with an agent looks like. Built for Chinese web fiction, but the English README is complete and the method transfers. The pipeline is trend scouting, deconstruction, writing, slop cleanup, cover art. The middle step is the one nobody else does. Point it at a novel that worked and it produces a structured teardown: Story Teardown Report scores the story core across five dimensions, six payoff facets, cognitive reversal, and nine layers of resonance. Plot Beats extracts every plot point with an emotion marker from −9 to +9, giving you the emotional curve as data. Craft Techniques catalogues eleven techniques: POV handling, dialogue, information gaps, object hooks Those outputs become a reusable library. The writing skills read from it, so you draft against the structure of something that already worked rather than against the model’s defaults. 5. claude-blog | ★ 1,579 AgriciDaniel/claude-blog · 274 forks Thirty sub-skills and five agents covering the whole blog lifecycle: strategy, briefs, outlines, drafting, rewriting, schema, site audits, topic clusters, content decay detection. The part worth stealing even if you never install it is the delivery contract. Every draft is scored against a 100-point rubric across five gates, and anything below 90 is blocked and re-run up to three times before it reaches you. The author’s framing: the user is never the first reviewer. That’s the verification pattern applied to prose. Most writing skills stop when the output looks finished, which makes you the quality gate. Best for: Publishing at volume, where you can’t personally review every draft. Installing them in Claude Code Install any of these by cloning into your skills directory: git clone https://github.com// ~/.claude/skills/ Skill Install command humanizer $ git clone https://github.com/blader/humanizer ~/.claude/skills/humanizer stop-slop $ git clone https://github.com/hardikpandya/stop-slop ~/.claude/skills/stop-slop AI-Research-SKILLs $ git clone https://github.com/Orchestra-Research/AI-Research-SKILLs ~/.claude/skills/ai-research oh-story-claudecode $ git clone https://github.com/worldwonderer/oh-story-claudecode ~/.claude/skills/oh-story claude-blog $ git clone https://github.com/AgriciDaniel/claude-blog ~/.claude/skills/claude-blog Final Thoughts Pick by what you write: You write Install Anything drafted with AI humanizer Blog posts and essays humanizer + claude-blog Fiction or serial stories oh-story-claudecode ML or AI research papers AI-Research-SKILLs (ml-paper-writing) High-volume content you can’t review claude-blog Chinese-language prose Humanizer-zh Everyone should have humanizer regardless. It’s the one entry that improves output no matter what the output is (forget the em-dashes and other AI markers). Read more: How to Connect MCP Servers with Claude (Claude Desktop and Claude Code) Frequently Asked Questions Q1. Why rank by stars instead of installs? A. Because stars on a dedicated repo attribute to the skill itself. stop-slop has 15,199 stars for one SKILL.md, which is 15,199 people endorsing that specific file. A skill inside a 200,000-star bundle of 41 tools tells you nothing about that skill. Q2. How many should I install? A. Two or three. One anti-slop pass, one for your format, optionally one for research. Beyond that their trigger descriptions overlap and you lose the ability to predict which fires. Q3. Do these work outside Claude Code? A. Most do. Skills are markdown, so they port to Codex, Cursor, and Gemini CLI. stop-slop documents four install surfaces including raw API system prompts. skill-deslop ships a packaged .skill file for Claude Desktop. Q4. Why are anti-slop skills so dominant? A. Because the patterns are documentable. Wikipedia’s WikiProject AI Cleanup maintains a list drawn from thousands of AI-generated texts, which gives these skills a shared factual base that general writing advice lacks. It’s the one writing problem with an agreed answer key. Q5. Should I build my own? A. Once you have a house style, yes. Read stop-slop for how to write rules a model can actually check, and writing-shape for how to structure a multi-turn writing session. Between them you’ll have the pattern. All star and fork counts retrieved from the GitHub API on 5 August 2026. These move fast. Verify before publishing. Vasu Deo Sankrityayan I specialize in reviewing and refining AI-driven research, technical documentation, and content related to emerging AI technologies. My experience spans AI model training, data analysis, and information retrieval, allowing me to craft content that is both technically accurate and accessible. 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