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Translate text between languages with AI while preserving brand voice and terminology. Use when translating app copy to Spanish, localizing marketing content, multilingual support tickets, i18n with AI, machine translation with brand voice, translating product descriptions, localizing help docs, batch translating i18n JSON files, glossary-enforced translation, AI-powered localization pipeline, tra

Change where project documentation is stored — local files, Obsidian vault, Notion workspace, or a per-type split — and regenerate the doc scaffold to match. TRIGGER when the user says "change doc routing", "switch docs to Obsidian", "move docs to Notion", "route docs locally", "change documentation storage", "reroute docs", "switch from local to Obsidian", "set up doc routing", "change where docs

Optimize CLAUDE.md based on actual usage patterns. TRIGGER ON: 'optimize CLAUDE.md', 'improve CLAUDE.md', 'make CLAUDE.md better', 'trim CLAUDE.md', 'what is unused in CLAUDE.md', 'CLAUDE.md is too big', 'shrink CLAUDE.md', 'which docs are never read', 'CLAUDE.md usage', 'optimize context'. Analyzes which sections, docs, and commands Claude actually uses and recommends removals, compressions, and

Use when creating, editing, or reviewing TYPO3 extension documentation (Documentation/*.rst, guides.xml, README.md, XLF translations), rendering docs with Docker, using TYPO3 RST directives, adding screenshots, deploying to docs.typo3.org, improve docs, fix documentation, or XLIFF 2-space indentation (TYPO3 v14+).

Rewrite text to match a different tone, reading level, or audience using AI. Use when rewriting content in a different tone, simplifying legal language, adapting text for a different audience, converting technical docs to plain English, making formal text casual, adjusting reading level, matching brand voice in existing content, paraphrasing for clarity, converting jargon-heavy text to simple lang

Convert any landing page or website into an Ozor.ai video prompt. Use this skill whenever the user provides a URL, landing page content, or website copy and wants to turn it into a video. Trigger on phrases like 'make a video from my website', 'video from this landing page', 'turn my homepage into a video', 'video from this URL', 'product page to video', 'website to video', 'marketing video from m

Turn any URL — landing page, blog post, product page, documentation page, changelog, public PDF, or web article — into a finished AI-generated video using the Ozor MCP. Use this skill whenever the user gives a link and wants a video from its content: 'make a video from this URL', 'video from my landing page', 'turn this blog post into a video', 'video from https://...', 'video from our homepage',

Run a read-only hygiene + documentation audit on the current repo. TRIGGER when the user says "is this repo healthy", "check hygiene", "audit this repo" (when they mean inspect, not remediate), "what's drifted", "run doctor", "run a health check", "audit docs", "check for doc drift", "what's broken in this project", "are the hooks still installed", "/nyann:doctor". Do NOT trigger on "fix this repo

Use to refresh old blog posts for current SEO standards. Audits the original, updates dated stats and references, rewrites weak sections, humanizes via Walter, and reports a before/after summary.

Generate an annotated ansible.cfg for a specific environment. Triggered by /new-conf. Asks for target environment (dev, CI, or AWX) and generates a fully annotated ansible.cfg covering all official sections including defaults, privilege escalation, SSH connection, vault config, callback plugins, and fact caching. Shows summary before writing.

Scaffold a complete Ansible role. Triggered by /new-role. Resolves role location from FQCN or path, asks whether multi-OS support is needed (RHEL, Solaris, Windows/WinRM), and generates a full role directory structure with realistic starter tasks, handlers, defaults, meta/main.yml, and OS-specific var files if requested. Shows summary before writing.

Foundational knowledge for writing current PyMC models including syntax, distributions, sampling, and ArviZ diagnostics. Use when creating or reviewing PyMC models.