hogan-tech/brand-loom

DirSkills catalogs 10 skills from this repository, across 2 categories: SEO, Writing.

22 stars3 forksView on GitHub
🌐
3w ago

Bilingual Translator

Bilingual Translator rewrites marketing copy between English and Traditional Chinese while preserving brand voice, tone, and audience fit. Use it for locale-aware translation, not word-for-word conversion.
Writing
223
✍️
2026/07/16

CTA Writer

Generates multiple call-to-action options for buttons, banners, and closing lines. Use it when you need short conversion-focused copy in different tones or formats.
Writing
212
✍️
2026/07/16

Caption Writer

Generates social media captions for any platform, adapting to your brand voice and tone. Model-agnostic, supporting various LLM providers.
Writing
212
🔄
2026/07/16

Content Repurposer

Repurposes content between formats such as long articles into social threads or carousel posts. Model-agnostic and works with any LLM provider.
Writing
212
2026/07/16

FAQ Generator

Generates 3-6 FAQ Q&A pairs from a provided body of text. Use when you need to quickly create FAQ items from product descriptions, articles, or other content. Part of the brand-loom toolkit, works with any LLM provider.
Writing
212
#️⃣
2026/07/16

Hashtag Generator

Generates deduplicated, count-bounded hashtag sets for social media posts. Model-agnostic and useable from CLI, chain, or Python.
Writing
212
🪝
2026/07/16

Hook Generator

Generates scroll-stopping hooks and headlines for any topic. Works with OpenAI, Anthropic, Gemini, and Ollama models.
Writing
212
💼
3w ago

LinkedIn Post Generator

LinkedIn Post Generator creates story-driven LinkedIn posts from milestones, achievements, or topics. Use it when you need formatted post copy with hooks, line breaks, and calls to action.
Writing
223
🔍
2026/07/16

SEO Outline

Generates a locale-parametric, model-agnostic SEO article outline with 4-8 sections. Use when you need a structured outline optimized for search visibility.
SEO
212
🧩
2026/07/16

Schema.org Markup

Generates Schema.org JSON-LD structured data for SEO. Supports FAQPage, Article, and Breadcrumb types — no LLM required, pure Python.
SEO
212