validate-blog-seo
Skill7 starsChanged 19 days agoMITView on GitHub
Blog module SEO validation only — frontmatter, canonical URLs, internal links, build gates. Use before merge/deploy or when reviewing blog posts. NOT site-wide SEO audit.
In this repository7 other files it gives its agents.
- AGENTS.mdAGENTS.md
- audit-seoSkill
- blog-cmsSkill
- create-postSkill
- integrate-product-siteSkill
- publishSkill
- setup-blog-moduleSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 28
Run from the repo root:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Validate Blog SEO
Scope: blog module SEO validation only (frontmatter, canonical, build) — NOT site-wide SEO audit. For GEO, keyword research, or content strategy use marketing-skills.
Pre-publish checklist
descriptionis 80–320 charactersslugis kebab-case and matches filenamedraft: falsefor publish-ready posts- Canonical URL has no trailing slash
- Internal links resolve to existing slugs
- Title is unique among published posts
npm run validate:postspassesnpm run buildsucceeds
Canonical format
- Standalone / subdirectory:
https://{SITE_URL}/blog/{slug} - Subdomain:
https://{SITE_URL}/{slug}
Commands
Run from the repo root:
npm run validate:posts
npm run buildOut of scope
- Site-wide SEO (homepage, product pages, llms.txt, GSC)
- Keyword research, content optimization, or GEO strategy → marketing-skills
- Marketing landing pages or non-blog routes
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

