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brand-loom
brand-loom contains 10 collected skills from hogan-tech, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Use when you need to create a LinkedIn post from a milestone, achievement, or topic. Produces authentic, story-driven posts with proper formatting (line breaks, hooks, CTAs).
Use when you need to translate marketing copy between EN and zh-TW while preserving brand voice, tone, and impact. Not word-level translation — a voice-preserving rewrite in the target locale.
Use when you need a social media caption for any platform. Supports brand_context for voice/tone. Model-agnostic. Part of brand-loom; hosted brand-memory version at neoxra.com.
Use when you need call-to-action copy for buttons, banners, or closing lines. Generates multiple CTA variants. Model-agnostic. Part of brand-loom; hosted brand-memory version at neoxra.com.
Use when you need FAQ items from a body of text. Generates 3-6 Q&A pairs. Model-agnostic. Part of brand-loom; hosted brand-memory version at neoxra.com.
Use when you need hashtags for social media posts. Generates deduped, count-bounded sets. Model-agnostic. Part of brand-loom; hosted brand-memory version at neoxra.com.
Use when you need scroll-stopping hooks or headlines for a topic. Model-agnostic (OpenAI/Anthropic/Gemini/Ollama). Part of brand-loom; hosted brand-memory version at neoxra.com.
Use when you need to transform content from one format to another — long to short, article to thread, article to carousel. Model-agnostic. Part of brand-loom; hosted brand-memory version at neoxra.com.
Use when you need Schema.org JSON-LD structured data. Pure Python — no LLM call required. Supports FAQPage, Article, Breadcrumb. Part of brand-loom; hosted brand-memory version at neoxra.com.
Use when you need an SEO-optimized article outline with 4-8 sections. Locale-parametric. Model-agnostic. Part of brand-loom; hosted brand-memory version at neoxra.com.