brand-voice
SolidDirect technical voice for docs, README, user-facing text. Concise/strict modes. Triggers: documentation, README, content, output-mode, voice, prose style.
Install
Quality Score: 93/100
Skill Content
Details
- Author
- softspark
- Repository
- softspark/ai-toolkit
- Created
- 2 months ago
- Last Updated
- 2 days ago
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
human-voice
Edit or write external-facing prose so it doesn't read as AI-generated. Apply to documentation, blog posts, tutorials, public READMEs, customer-facing slide decks, marketing copy, and competitive briefs — whenever the user asks to write, edit, review, or style-check such content, even if they don't mention AI. Apply when creating this kind of content from scratch. Do NOT apply to internal communications (Slack, Notion, internal PRs, meeting notes) unless the user explicitly asks for a style review. Trigger phrases include "write a blog post", "edit this doc", "review this tutorial", "write copy for", "external-facing", "customer-facing", "public README", "slide deck for customers", "competitive brief", "does this sound AI-generated", "check this for AI tells", "make this less AI", "remove the slop".
brand-voice
Govern the BRAND-VOICE.md — extract a brand's writing voice from URL, Notion page, MD file/directory, or interview into a structured executable doc; update incrementally; diff versions; validate the canonical format; show testable rules. Supports multi-voice via `voice.extends` (founder on corporate, persona on institutional, multi-host) with `_replace`/`_remove` overrides. Consumed by writing skills (e.g. `humanize-en -f BRAND-VOICE.md`). Mirrors the design-system pattern.
brand-voice-linter
Lint copy against a brand voice guide. Scans files for em dashes, buzzword clusters, hedge language, vague superlatives, passive voice, exclamation marks, and AI-tell phrases, then reports every violation with a suggested rewrite. Report-only by default, applies fixes on request. Use when the user says "lint this copy", "check this against our voice", "does this sound like us", "voice check", or "clean the AI tells out of this".