Descriptions:
Chris from All About AI walks through how to build an autonomous social media content agent using Claude Code, Cling Video v3 Pro, and FAL AI’s NanoBanana image generator. The workflow is organized around modular “skill.md” files — reusable instruction sets that give the agent context-aware capabilities — enabling it to research trending AI topics, generate scene images, animate them into short video clips, and publish to X (formerly Twitter) without manual intervention.
The demo covers three interconnected skills: an X platform posting skill, an image generation skill powered by NanoBanana, and a new video generation skill built on Cling’s image-to-video pipeline. Claude Code reads a “hot_topics.md” file populated by the agent’s daily research runs, drafts a voiceover script around current topics like Claude Opus 4.6, generates character images from a reference photo, and assembles approved frames into a 30-second video clip.
A practical highlight is the built-in approval checkpoint before video API calls: the agent surfaces generated images for human review, preventing wasted credits on flawed frames. The video also briefly covers FAL AI’s voice ID feature for consistent narration across clips. While the creator frames this as a first-pass iteration to be refined into a fully automated skill, it provides a concrete blueprint for developers looking to chain image generation, video synthesis, and social publishing into a single autonomous Claude Code agent.
📺 Source: All About AI · Published February 08, 2026
🏷️ Format: Hands On Build
