z-card-image

z-card-image is a specialized software agent skill designed to bridge the gap between raw text content and professional visual assets. It allows users to convert social media posts, long-form articles, and general text into high-quality PNG images. The engine excels in handling specific aesthetic standards, including X (formerly Twitter) style long-form thread screenshots, WeChat Official Account covers, and aesthetic text posters. It is built for content creators, social media managers, and automated publishing workflows that require rapid, consistent branding.

• Automated template matching: Intelligent routing based on input content, selecting appropriate layouts for posters, article pagination, or X-like thread visualizations.

• Advanced text processing: Supports dynamic text highlighting (--hl1, --hl2, --hl3, --highlight-words) and automatic text shortening or pagination for content exceeding visual bounds.

• Platform-specific presets: Pre-configured visual settings for platforms like Xiaohongshu (Little Red Book) and WeChat, ensuring brand-consistent background colors and footers.

• Technical integration: Operates via Python-based rendering scripts, leveraging Google Chrome for high-fidelity HTML-to-PNG conversion, with full support for user-defined output paths.

• Input requirements: Expects structured 'post data' or plain text; automatically validates text length and aspect ratios against template limits.

• Workflow guidelines: When handling long threads, the agent automatically splits content into multi-part visuals (Part 1, Part 2, etc.) to maintain readability.

• Environment prerequisites: Requires Python 3 and a local Chromium-based browser installation to perform headless rendering.

• Constraint handling: If a requested aspect ratio is unavailable, the system suggests valid alternatives rather than failing silently; ensures titles are compressed if they exceed visual limits for cover images.