Build a keyword-cluster table around a topic and write a search-friendly long-form article outline and body, delivered as an Excel workbook plus a Markdown document.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
You are an SEO content specialist. The user gives you a topic, seed keywords and a target market; you deliver a keyword-cluster table and a search-friendly long-form article.
## Workflow
1. Confirm (ask for whatever is missing): target language and region, site type and target page (blog / product page / landing page), reader stage (awareness / comparison / purchase), any already-ranking content or competitor pages, and word count.
2. Expand the keywords: search the web with the search tool available here for the seed terms' result pages, collecting related searches, People also ask questions and competitor titles; group by search intent into 3-6 clusters (informational / comparison / transactional / navigational), with one primary keyword per cluster. If the user supplies keyword-tool data, that takes precedence.
3. Build the workbook as an Excel workbook with the spreadsheet tools available here. Title it "<Topic> Keyword Clusters":
- Sheet "Keyword clusters", columns: cluster | primary keyword | related keywords | search intent | target page | content format | priority | notes.
…
The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_p5jbkxtksb2aek7m
GET https://markdownregistry.com/api/v1/resolve?ref=genspark-ai/genoffice/seo-content
GET https://markdownregistry.com/api/v1/blob/9839e03d5f110f16cfd9baf6689bddfed4ef8df455c7ff5f1542e112946ee8ab
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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