Tools

Guides users through co-writing proposals, technical specs and decision docs in three stages: gather context, refine section by section, then test with a fresh session that lacks the context to catch what readers won't understand. Official Anthropic skill.

Static site generator written in Go that builds Markdown content into docs sites, blogs or landing pages in seconds, with a local preview server and an asset pipeline for images, CSS and JS.

Curated index of Claude skills with about 30 practical skills in the repo (resume tailoring, content research and writing, file organization, meeting analysis) plus 800+ automation skills that reach third-party apps via Composio, which need Rube MCP and account authorization.

Shapes the agent's replies for a reader with ADHD: lead with the next action, number multi-step work, restate progress every turn, hold back tangents, give concrete time estimates and make finished work visible. Turn it on with /i-have-adhd; it lasts until you say stop adhd mode.

Turns common prompts such as summarizing, extracting insights and rewriting into reusable patterns you pipe text, web pages or YouTube transcripts through, using many model providers or local Ollama. Can also run as a REST API. Run fabric --setup first to configure models.

Vercel's official skill that pulls the 80+ rules of Vercel's writing handbook online to review docs and copy for voice, structure, content types, code examples and formatting, listing issues as file:line.

Translation skill by Baoyu with quick, normal and refined modes, custom glossaries, and target audience and style settings. Translates local files or URLs; suited to long-form Chinese-English translation and localization. Needs bun or npx.

Compiles Markdown chapters into an online book with a table of contents, full-text search and themes, good for manuals, lecture notes and course material; agents can edit chapter files and rebuild to preview. Maintained by the Rust team; install a prebuilt binary or via cargo.

Automattic's offline English grammar checker: checks spelling, grammar and word choice locally in milliseconds without sending your text anywhere. Homebrew installs harper-cli for batch-checking files (still experimental) and harper-ls for editors. English only.

Open-source grammar, spelling and style checker for 20+ languages including English, German, French, Spanish and Portuguese. Proofread drafts in bulk from the CLI or run a local HTTP checking server for agents. For writers, translators and language teachers. Needs Java 17 (Homebrew includes it).

Writing agent for novels, scripts, interactive fiction and long-form translation, with CLI, TUI and web workspace. Tracks worldbuilding, characters and foreshadowing, reviews and revises drafts, and works as a skill for other agents. Needs Node.js 22.16+ and a model API key such as Kimi or DeepSeek.

Turns Peng Sida's public research-writing notes into a skill: revises abstracts, introductions, methods and experiments of ML/CV/NLP papers from a reviewer's view, checks that each claim has experimental evidence, and runs a pre-submission self-check. Pure methodology, no API key.

Tw93's lean pack of engineering-habit skills: /think to pressure-test plans, /hunt for root causes, /check to review diffs, /ui for frontend interfaces, /write to polish Chinese and English prose, and more (8 skills). Works with both Claude Code and Codex.

A prose linter that checks docs against style guides: use ready-made packages like Microsoft and Google or write your own YAML rules. It parses Markdown, AsciiDoc and other formats before checking, runs fully offline, and plugs into editors and CI.

Converts AsciiDoc, a Markdown-like plain-text markup, into HTML5, DocBook and man pages, and with official extensions into PDF and EPUB, suited to technical books, textbooks and large manuals. Ruby-based; install with Homebrew on macOS.

English prose linter that turns usage guides such as Garner's and advice from great writers into rules, flagging clichés, redundancy, bad comparisons and usage errors line by line, with JSON output for agents. Runs locally with Python; English only.

Writes or rewrites English docs in the spirit of ASD-STE100 Simplified Technical English: short sentences, active voice, condition before command, one word one meaning, terms defined at first use. Plain mode by default, Strict mode for STE compliance, plus a rule-by-rule check mode.

Pluggable natural-language linter that checks Markdown and plain text for wording, punctuation and terminology consistency like code, with auto-fix, and can also run as an MCP server. Rules are installed separately, mostly for Japanese and English; requires Node.js 20+.

MCP server built into the textlint proofreader: agents check Markdown, plain text and other documents against your rules for wording, punctuation and formatting issues and get auto-fixed text. Needs Node.js plus a .textlintrc and rule packages in your project; textlint has no default rules.

LLM translator for novels, subtitles, ebooks and game text: one-click glossaries keep names consistent and translations get auto-reviewed. Besides the desktop app it has a CLI (translate/analyze, JSONL status). Download from Releases and bring an LLM API; commercial use needs the author's OK.

Translates a finished blog post into one or more languages while keeping formatting, images and charts, localizes keywords, titles, meta descriptions, dates and currencies per market, and flags sentences that read like machine translation. No account needed; part of the claude-blog suite.

Fixes spacing and full-width/half-width punctuation in mixed CJK and English text, understanding 28+ file types including Markdown, YAML and strings and comments in source code. Lint mode outputs a diff or JSON for CI checks on localized copy.

Opens HTML, Markdown or localhost pages in the browser via npx human-review so you can edit text directly and leave anchored comments, then sends every edit and comment back to the agent in one batch to apply to the source.

Pre-submission review for CS conference papers (CVPR, ACL, NeurIPS and more): polish, translate or condense on request, or let AI reviewers raise issues and a jury rule on them. Only wording fixes are drafted, with your approval; missing experiments go back to you, never invented. Needs Node.js.