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Generate AI image prompts for blog post hero images with a consistent TechHive Labs visual style
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Run the full TechHive Labs blog post cycle: source brief → voice-matched draft → data charts → hero image → SEO-audited publish to production → distribution variants (LinkedIn, dev.to, X) with a branded stats card. Use whenever Tony wants to write and publish a new blog post, turn a brief/brain-dump into a post, "do the full cycle", "post like last time", cross-post an existing article, or produce any distribution deliverable (LinkedIn post, dev.to variant, tweet, stats image). Also consult it when doing just ONE phase — it maps each phase to the specialist skill and records the conventions and gotchas learned from real cycles.
Browser-test this site (techhivelabs.net portfolio) with playwright-cli — verify pages render, MDC components behave (modals, players), and interactions work in the real app. Use whenever a change needs visual or interactive verification in the browser: new/changed components, blog post layout checks, screenshot requests, or E2E flows like the contact form.
Build a branded LinkedIn document carousel (a multi-slide PDF) from a blog post, announcement, or set of findings, styled in the TechHive Labs identity and exported print-ready. Use this whenever Tony wants a "carousel", "document post", "PDF slides", "swipeable slides", "slide deck for LinkedIn", or wants to turn a blog post / set of stats into something visual to drive LinkedIn reach — even if he doesn't say the word "carousel". The output is a 4:5 (1080x1350) PDF rendered from an HTML template via headless Chrome.
Complete workflow for publishing blog posts — image processing, SEO audit, schema verification, and Vercel deployment
Write or rewrite blog posts matching Tony's personal writing voice -- self-deprecating, conversational, narrative-driven technical storytelling
General-purpose X/Twitter research agent. Searches X for real-time perspectives, dev discussions, product feedback, cultural takes, breaking news, and expert opinions. Works like a web research agent but uses X as the source. Use when: (1) user says "x research", "search x for", "search twitter for", "what are people saying about", "what's twitter saying", "check x for", "x search", "/x-research", (2) user is working on something where recent X discourse would provide useful context (new library releases, API changes, product launches, cultural events, industry drama), (3) user wants to find what devs/experts/community thinks about a topic. NOT for: posting tweets or account management. Note: currently uses recent search (last 7 days). Full-archive search is available on the same pay-per-use X API plan but not yet implemented in this skill.
| name | blog-image-generator |
| description | Generate AI image prompts for blog post hero images with a consistent TechHive Labs visual style |
| user_invocable | true |
Generate image prompts for the user's blog posts that maintain a consistent visual identity across the TechHive Labs portfolio site.
Read the blog post. If the user provides a slug or filename, read the markdown file from content/blog/. If no specific post is given, ask which post they need an image for.
Identify the core themes. Extract the 2-3 central topics or narratives from the post (e.g., "AI coding assistant + roguelike game dev + hitting limits").
Compose prompts using the base prompt. Always start with this exact base prompt, then append a scene description:
Base prompt:
Isometric low-poly digital illustration, dark matte background with soft green (#39a10e) accent lighting, clean geometric shapes, subtle glowing circuit-board traces in the background, tech-forward minimal aesthetic, no text, no people, sharp edges with soft shadows, 16:9 aspect ratio
Generate exactly 3 variant prompts. Each variant should:
Present the output as:
For a post about hitting deployment walls with an AI app:
Variant 2: Isometric low-poly digital illustration, dark matte background with soft green (#39a10e) accent lighting, clean geometric shapes, subtle glowing circuit-board traces in the background, tech-forward minimal aesthetic, no text, no people, sharp edges with soft shadows, 16:9 aspect ratio, a split architecture diagram — a sleek glowing edge node on one side connected by a luminous bridge to a heavy industrial server on the other, data packets flowing across the bridge
