What problem does it solve? Working with generative AI models from the terminal requires knowing dozens of commands, flags, model IDs, and edge cases. This Skill gives an agent the operational knowledge to drive the Picsart gen-ai CLI correctly — from authentication and single generations to batch runs, Drive uploads, and troubleshooting — without guessing at flags or stale model names. ## Core Features & Use Cases - Generation workflows: Run text-to-image, image-to-image, text-to-video, and image-to-video generations with correct model IDs, aspect ratios, and input mappings (e.g. -i auto-mapped to startFrame for i2v models). - Batch and Drive operations: Execute manifest-based batch runs with concurrency control and resume failed jobs, plus upload, download, and list files in Picsart Drive. - Diagnostics and scripting: Use --dry-run, --debug, --script, and --no-input for CI-safe, pipe-friendly automation, with a troubleshooting table for common errors. - Use Case: A user asks to generate 20 product image variants overnight. The agent writes a JSON manifest, validates it with --dry-run, runs gen-ai batch run -c 20, then summarizes results.json and retries failures with batch resume. ## Quick Start Ask the agent to generate an image with the gen-ai CLI, for example: "Use gen-ai to generate a sunset over mountains with the flux-2-pro model and save it to my Drive."