Create and Optimize Brand Content

Drafts and reviews audience-specific content - blog posts, social media, brand voice material, and content calendars - using supplied brand examples, local (non-networked) text diagnostics, and adaptable channel templates. It requires the audience, purpose, approved claims and sources, brand examples, channel, and desired next action up front, and reuses those supplied constraints rather than inventing audience research. Two optional local Python scripts assist: brand_voice_analyzer.py, which counts a small English vocabulary and estimates sentence length and readability to surface rough lexical features (it cannot establish authentic brand voice or validate factual claims), and seo_optimizer.py, which inspects simple Markdown patterns for keyword density, structure, and meta-tag suggestions as descriptive diagnostics, not a ranking or quality score. Both scripts run only on a permitted UTF-8 input file up to 1 MiB below the working directory and print diagnostics without calling any analytics service or editing the file.

Workflows cover four cases. Brand voice setup: run the analyzer on existing content for lexical clues, review personality archetypes and tone attributes in a bundled brand-guidelines reference, then write and manually compare sample pieces against approved examples. SEO blog posts: research the reader's actual question and search intent (never invented search volumes or word-frequency-as-research), draft from a content-framework template, run the SEO optimizer against the primary and secondary keywords, then review its suggestions against the real audience and page rather than applying them blindly. Social media: adapt a blog post or core message per platform using a repurposing matrix and platform-specific guidelines, checking length, timing, image dimensions, hashtags, and engagement elements. Content calendar planning: copy a calendar template, set monthly goals, distribute a mix of content across the week based on goals and production capacity, and label untested timing assumptions for later comparison.

Use it for writing blog posts, creating social media content, establishing brand voice, optimizing content for SEO, or planning a content calendar.

Do NOT expect it to schedule, send, or publish anything - drafting does not authorize any of those actions. Do NOT treat the SEO script's output as a quality or ranking score: it observes character lengths, word counts, and Markdown structure only, not rendered pages, indexing, search demand, accessibility, or causality. Do NOT rely on the brand-voice analyzer as a validated reading assessment or for multilingual scoring - its word lists are small and approximate. Do NOT use template testimonials, benchmarks, or client facts as real - they are illustrative placeholders requiring separate rights and approval confirmation.

Inputs are the audience, purpose, approved claims and sources, brand examples, target channel, and desired next action, plus (optionally) an existing content file for the local scripts to analyze. Outputs are reviewable draft copy plus source links and unresolved facts - never a sent or scheduled post. A worked example: given an approved release note ("CSV export is now available"), the skill produces a short help article on where export lives and a social draft linking to it, preserving the exact supported formats and limitations from the source, running the local diagnostics, verifying instructions against the actual product, comparing tone against two approved posts, and returning both drafts plus a proposed (not executed) calendar slot.

Works alongside analytics platforms (Google Analytics, social media insights), SEO keyword-research tools, design tools for visual content, scheduling platforms for distribution, and email marketing systems for newsletter content - the skill itself does not connect to any of these; it produces the drafts they would consume. Tracked KPIs referenced include organic traffic growth, time on page, bounce rate, social shares, backlinks, engagement rate, leads, conversion rate, and revenue attribution, framed as things to monitor after publication rather than something the skill measures itself.

Content marketers and brand/content teams drafting blog, social, and calendar content who need channel templates and lexical diagnostics grounded in supplied brand examples and approved claims, with a human review-and-publish step kept separate from drafting.