AI Agent Skill: Editorial Review & SEO Optimization Tool
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AI Agent Skill: Editorial Review & SEO Optimization Tool
This AI agent skill unifies editorial review and SEO optimization workflows in a two-stage process designed for developers using AI coding agents like Claude Code, Cursor, and Codex. It audits prose quality, manages inline review comments, and verifies technical SEO, GEO signals, and frontmatter metadata for Markdown files.
What this skill does
Prose and Structural Review: In Stage A, the tool audits the readability using 'fog', checks for AI-trope density with 'slop', applies static grammar and style rules through 'vale', and assesses macro-narrative flow. It also allows for resolving or inserting inline review comments.
Technical SEO and Localization: Stage B focuses on auditing discoverability via the 'seo' MCP tool, enforcing a dual-purpose frontmatter split into 'summary' and 'description', and validating Generative Engine Optimization (GEO) signals. It guides idiomatic multi-language localization for blog posts and web pages.
Who it is for
Software developers working with AI coding platforms seeking to enhance the editorial quality and SEO performance of their documentation.
Content editors and digital marketing teams managing the publication of technical content online.
Software engineering teams looking to streamline their documentation review and publication processes.
Use cases
Teams striving to improve the readability and SEO of their software documentation before release.
Developers annotating inline comments to provide clarity and context in collaborative coding environments.
Editors aiming to ensure web content meets both readability standards and SEO best practices prior to publishing.
Technical details
Operates through a two-plane architecture that separates prose and structural review from technical SEO and localization tasks.
Utilizes specific tools such as 'fog', 'slop', and 'vale' for content quality audits.
Integrates SEO auditing through the 'seo' MCP tool to enhance page discoverability and adheres to localization requirements.
Supports Python, JavaScript, and Markdown file types common in AI agent development environments.
Source & Licence
This package is built on open-source work published by danicat (danicat/speedgrapher) and distributed under Apache-2.0. The original licence text and copyright notice are included in your download.
Personal and commercial use, modification and redistribution are permitted under the Apache License 2.0, which also includes an express patent grant. Attribution and any NOTICE file must be retained.
Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.
Delivery & Support
Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
Format: ZIP archive containing the skill files, documentation and the original licence.
Updates: updates are included only where stated on this page.
Refunds
This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.
Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.