source-feedback

What problem does it solve?

This Skill analyzes the output from asset sourcing processes to detect sourcing failures, low-quality matches, and gaps in visual assets, helping maintain production continuity.

Core Features & Use Cases

• Gap Detection: Checks asset-manifest.json for zero results, low-quality assets, or shallow source availability.
• Diagnostic Analysis: Determines why certain shots failed sourcing and assesses their narrative importance.
• Alternatives Suggestion: Recommends search term modifications, template substitutions, archival sources, AI illustrations, or script revisions to fill visual gaps.
• Use Case: If a hero shot of a factory is missing, this Skill suggests broader search terms or template-based visual alternatives to avoid delays.

Quick Start

Provide detailed gap reports by analyzing recent sourcing outputs and suggest quick re-search commands or visual alternatives to streamline production.