@101-skills

app-store-screenshots provides platform-specific dimensions, gallery ordering heuristics, and caption guidelines for ios and android app store listings. covers device mockup generation via inference.sh cli but lacks validation and rollback procedures.

remotion-render compiles react/tsx video code into mp4 files via inference.sh, supporting remotion animation primitives. includes working examples and python sdk bindings but lacks error handling and failure mode documentation.

agent-tools exposes a catalog of 250+ cloud-hosted AI models via CLI, covering image generation, video, LLMs, search, and social automation. lacks decision logic and error handling for production use.

product-hunt-launch provides a partial workflow for generating gallery assets via inference.sh, starting with hero image generation. lacks launch tactics, timing strategy, and submission procedures outlined in description.

agent-browser wraps playwright for web automation via inference.sh, exposing element refs and screenshot capture. covers basic navigation and interaction but lacks depth on error handling and recovery patterns.

infsh-cli wraps 250+ inference.sh apps (image generation, video, llms, search, twitter) behind a belt command-line interface with local file upload support and task polling, but lacks actionable decision logic and failure handling for production use.

web-search integrates tavily and exa search via belt cli for querying and extracting web content, but lacks sufficient documentation depth and failure mode guidance for production use.

twitter-automation wraps x api operations (post, like, engage) through belt cli but lacks procedural depth, error handling, and realistic workflow examples beyond a single tweet posting command.

ai-image-generation wraps inference.sh cli to invoke 50+ image models including flux and gpt variants, but lacks structured intent definition, decision logic, and failure handling.

storyboard-creation wraps inference.sh CLI to generate storyboard panels via AI image models, but lacks shot vocabulary, continuity rules, panel layout guidance, and editorial workflow that the description promises.

ai-video-generation wraps inference.sh cli to invoke 40+ video models including veo and seedance variants, with minimal procedural guidance and no error handling documentation.

Structured competitive analysis with feature matrices, SWOT, positioning maps, and UX review. Covers research frameworks, pricing comparison, review mining,…

Still-to-video conversion guide: model selection, motion prompting, and camera movement. Covers Wan 2.5 i2v, Seedance, Fabric, Grok Video with when to use…

Video ad creation with exact platform-specific specs for TikTok, Instagram, YouTube, Facebook, LinkedIn. Covers dimensions, duration limits, AIDA framework,…

Character consistency across AI-generated images with reference sheets and LoRA techniques. Covers turnaround views, expression sheets, color palettes, and…

AI product photography with studio lighting, lifestyle shots, and packshot conventions. Covers angles, backgrounds, shadow types, hero shots, and e-commerce…

YouTube thumbnail design with specific dimensions, contrast rules, and mobile preview optimization. Covers safe zones, text placement, face expression…

Landing page conversion optimization with layout rules, hero section design, and CTA psychology. Covers above-the-fold formula, social proof placement, mobile…

Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requests,…

Create AI avatar and talking head videos via inference.sh CLI. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also: OmniHuman, Fabric,…