What problem does it solve? When an agency engagement ends, clients need more than a folder of final assets — they need the prompts, pinned model versions, brand documentation, and rights records required to regenerate consistent work without the agency. This Skill automates the inventory, filtering, metadata stripping, model pinning, documentation, packaging, and cold-test verification of a formal client handoff bundle. ## Core Features & Use Cases - Inventory and filtering: Pulls every asset and results.json from the client workspace, excluding drafts, rejected variants, and internal WIP. - White-label stripping and model pinning: Removes internal tags and competitor references, and locks every prompt to an exact model ID and version via gen-ai models info. - Documentation and packaging: Generates README, RIGHTS.md, CHANGELOG, prompt library, and a handoff-manifest.json, then zips everything with a consistent folder structure. - Cold-test verification: Extracts the zip to a clean directory and dry-run regenerates one asset to prove reproducibility before delivery. - Use Case: An agency finishing a year-long retainer for a fintech client packages 247 assets and 54 prompts into a versioned handoff zip, delivers it to the client's DAM, and the in-house team regenerates on-brand assets using a stock gen-ai CLI install. ## Quick Start Ask the agent to package the completed engagement for client acme-fintech into a white-label handoff zip with pinned models, prompt library, and rights documentation, then cold-test one regeneration before delivery.
