Seo outline
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.From its SKILL.md
npx -y skills add hogan-tech/brand-loom --skill seo-outlineAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 22 stars22 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its file declares
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The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
1.6 KB, 226 tokens by cl100k_base, as published. Nobody here has run it
SEO Article Outline
Use when you need an SEO-optimized article outline with 4-8 sections. Locale-parametric. Model-agnostic.
Quick start
- CLI:
brand-loom run seo_outline --text "best CRM for startups" - Chain:
brand-loom chain seo_outline,faq --text "best CRM for startups" - Python:
from brand_loom.agent import run_skill from brand_loom.providers import use_provider use_provider("openai") # or "anthropic", "gemini", "ollama", "fake" result = run_skill("seo_outline", "your topic here") print(result.text)
Install
pip install brand-loom # standalone (no coding agent needed)
npx skills add hogan-tech/brand-loom # via skills.sh
Going further
Want hooks auto-matched to your brand voice, across every platform, no setup? → neoxra.com
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most marketing audience skills give in 226 tokens
Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07
- Apply Poppins font to headingsin 41 of 690, across 6 files
- Apply Lora font to body textin 41 of 690, across 6 files
- Use Arial fallback for headingsin 39 of 690, across 4 files
- Use Georgia fallback for body textin 39 of 690, across 4 files
- Maintain text hierarchy and formattingin 39 of 690, across 4 files
- Use accent colors for non-text shapesin 38 of 690, across 3 files
- Use RGB values for precise color matchingin 38 of 690, across 3 files
- Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
- Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
- Use active voice instead of passive voicein 26 of 690, across 10 files
- Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
- Prioritize clarity over clevernessin 22 of 690, across 8 files
Said here and by no other author read
- install brand-loom
- pass the target text via the text flag
- chain the outline skill with the faq skill
- configure a provider
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.