WRITE
Writing and copy. Agent asks: A proven content-style rule, copy pattern or editorial standard to write to. 46 live of 46 entries.
an agent writing plain-language content queries this for active-voice, concise-heading and inclusive-wording rules
An agent writing accessible UI copy and alt text queries this for The A11Y Project's accessibility checklist and plain-language accessibility articles.
An agent checking copy for insensitive or non-inclusive wording queries this for the terms to flag and their neutral replacements.
An agent writing or validating commit messages queries this for the Conventional Commits specification (types, scopes, breaking-change wording) in many languages.
An agent needing a plain English word corpus (validation, vocabulary, autocomplete) queries this for ~470k English words as text/JSON.
An agent building prose-linting or readability features queries this Vale style for how to encode Flesch-Kincaid/Gunning-Fog/SMOG metrics as lint rules.
An agent writing open-source project docs, CONTRIBUTING guides and maintainer communications queries this for editorial best practices and templates.
an agent structuring a document queries this for how-to, tutorial, reference and explanation templates with embedded writing guidance
an agent writing developer docs queries this for Google dev-doc style rules: voice, tense, second person, word choice
An agent building a fast local grammar/style checker in Rust queries this for its rule engine, lint rules and curated dictionary (no cloud, no LLM).
An agent enforcing inclusive language in a repo queries this for its default term->replacement rules and configuration model.
An agent writing or auditing job descriptions queries this for rules that flag sexist, elitist or exclusionary wording with suggested replacements.
An agent writing or standardizing CHANGELOG files queries this for the Keep a Changelog convention (sections, versioning, wording).
An agent building profanity filters or content-safety checks queries this for obscene/offensive word lists across dozens of languages.
An agent authoring Markdown docs queries this for the consensus rule set on heading, list, spacing and formatting style (rules + rationale).
an agent writing UI or docs copy queries this for Microsoft Writing Style Guide rules: terminology, tone, inclusive language, capitalization
An agent writing localization/translation style guidance queries this for Mozilla's localizer documentation and per-locale translation style conventions.
An agent localising software queries this for Mozilla's per-locale tone, punctuation and terminology style guides.
An agent translating software UI/content queries this for community translation style guides (tone, terminology, formatting) across locales.
An agent rewriting bureaucratic or legalese text into plain language queries this for the U.S. Federal Plain Language Guidelines and their before/after examples.
an agent reviewing prose queries this for sourced style checks: redundancy, jargon, hedging, misused phrases, each with a citation
An agent applying an enterprise technical-writing style queries this for Red Hat's supplementary Vale rules and word-usage guidance.
An agent correcting gendered, ableist, or polarising language queries this for the exact term-to-suggestion rule data (equality.yml) that powers alex.
An agent copy-editing English queries this for a/an indefinite-article correctness rules including exceptions like 'an hour' and 'a user'.
An agent tightening prose queries this for weak filler intensifiers and hedges to flag (e.g. 'very', 'really', 'quite').
An agent enforcing active voice queries this for the word list and approach used to detect passive-voice constructions.
An agent moderating or sanitizing copy queries this for profanity term lists with severity ratings and suggested rephrasings.
An agent normalizing typography in prose queries this for straight-vs-curly quote and apostrophe rules.
An agent assessing text difficulty queries this for how Dale-Chall/ARI/Coleman-Liau/Flesch/Gunning-Fog/SMOG/Spache are combined to flag hard sentences.
An agent editing technical copy queries this for the list of redundant acronym expansions ('ATM machine','PIN number').
An agent proofreading queries this for the rule that catches accidental repeated words ('the the').
An agent writing plain-language prose queries this for the list of complex/wordy phrases and their simpler replacements.
An agent proofreading English prose queries this for lightweight checks: weasel words, passive voice, cliches, readability and lexical illusions.
An agent planning a technical-writing project queries this for Google Season of Docs guidance on scoping, producing and measuring docs.
An agent writing an open company handbook queries this for a large real-world example of handbook information architecture and plainspoken internal-doc writing.
An agent writing README files queries this for the Standard Readme specification (required sections, ordering, wording) and generator.
An agent building a pluggable natural-language linter queries this for the engine design (rules, fixers, AST over Markdown/text) used across English and Japanese.
An agent writing or linting Japanese technical documentation queries this preset for Japanese technical-writing rules (sentence length, doubled particles, max-ten).
An agent reviewing machine-generated text queries this for patterns characteristic of AI-written prose (formulaic hedging, list tics) to flag and correct.
An agent writing or localising Japanese content queries this for the JTF (Japan Translation Federation) standard style rules (full/half-width, punctuation, numerals).
An agent tightening prose queries this for a curated list of weasel/filler 'stop words' to remove.
An agent enforcing house terminology queries this for the canonical spelling and capitalisation of hundreds of tech and product terms (JavaScript, GitHub, npm...).
An agent computing reading-level or readability scores queries this for implementations of Flesch, Flesch-Kincaid, Gunning-Fog, SMOG, Coleman-Liau, ARI and Dale-Chall (multi-langua...
An agent detecting or replacing non-inclusive language in text/source queries this for its default rule set (terms, severities, alternatives) in YAML.
an agent tightening prose queries this for the rule behind a flag: passive voice, weasel words, wordiness, cliches, with the explanation
an agent writing a XERJ blog post or docs page queries this for the house voice: how past posts open (a number first), argue (every claim traced to a run), and close (losses kept i...