blog-generation

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Generate one excellent, on-brand blog post per run for any business, built to rank on Google and get cited by AI search (ChatGPT, Claude, Perplexity, AI Overviews). A stateful engine: reads a brand strategy doc, picks a fresh topic (never repeats), researches, writes in the brand's voice, and logs the post back. Use when the user wants to write a blog post, run a daily or recurring blog task, or generate SEO / AEO / blog content. For keyword data and audits, defer to seo-research.

AI & Automation 86 stars 15 forks Updated 2 weeks ago MIT

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Quality Score: 90/100

Stars 20%
65
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Blog Generation One job, done well: produce a single excellent, on-brand blog post per run, optimized to rank on Google and get cited by AI search, and never repeat what you have already written. Built to run as a recurring task (for example, one post a day) or on demand for any business in any vertical: a dentist, a jeweler, a B2B SaaS, a DTC brand. The whole game is captured in two ideas. First, AI search visibility is SEO done well: unique, genuinely useful, people-first content with a clear point of view, structured so a machine can extract a clean answer. There is no secret AEO hack. Second, the engine has **memory**: a single `blog-strategy.md` file, saved in persistent storage, holds the brand's context plus a running log of every post. That log is what stops it from ever repeating itself. > **The memory contract (the most important rule in this skill).** The log lives in a real file that survives between runs. On the FIRST run it does not exist, so you create it. On EVERY run after that it already exists, so you read it into context before doing anything, then append the new post to it before you finish. Same brand, same file path, every time. If you ever write a post without first reading the log, or finish a run without appending to it, the engine is broken: it will loop and repeat topics. Read-the-log-first and append-the-log-last are non-skippable. ## Requirements - **Hyper MCP connected.** https://app.hyperfx.ai/mcp - **A brand strategy doc** (`blog-strate...

Details

Author
hyperfx-ai
Repository
hyperfx-ai/marketing-skills
Created
4 months ago
Last Updated
2 weeks ago
Language
Python
License
MIT

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