What problem does it solve?
Partnership pitch decks are high-stakes assets that must align with the chosen partnership angle, be fully grounded in research, and be visually polished for prospect meetings. Manually reviewing decks for these qualities is time-consuming and error-prone, and sending a flawed deck can damage partnership credibility or expose the team to factual errors.
Core Features & Use Cases
- LLM-as-Judge Grading: Evaluates deck specs across four weighted dimensions: arc match (alignment with the chosen partnership angle), grounding (factual accuracy and citation of research), completeness (all required modules present), and visual polish (readiness for prospect-facing rendering).
- Automated QA Gating: Skips evaluation if the prior partnership-deck-build inline QA fails, preventing wasted effort on structurally invalid deck specs.
- Fabrication Detection: Automatically flags and floors scores for any fabricated or uncited claims in the deck, preventing factually incorrect content from reaching prospects.
- Use Case: For ACE partnership teams building pitch decks for prospective partners, this skill automatically validates deck specs before they are rendered into Google Slides, ensuring only high-quality, aligned decks move to the publish phase.
Quick Start
Run the partnership-deck-build-eval skill as part of the ACE partnership deck build workflow to automatically grade the generated deck spec and produce a structured verdict YAML for aggregation.