partnership-deck-build-eval

Evaluate partnership pitch deck specs and produce a structured verdict YAML.

1|2|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/dimagi-internal/ace --skill partnership-deck-build-eval
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: partnership-deck-build-eval
Source: https://github.com/dimagi-internal/ace/tree/main/skills/partnership-deck-build-eval
Command: npx skills add https://github.com/dimagi-internal/ace --skill partnership-deck-build-eval

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about partnership-deck-build-eval

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I evaluate a partnership pitch deck for prospect readiness?

To evaluate a partnership pitch deck for prospect readiness, grade the deck specifications across arc match, factual grounding, completeness, and visual polish to produce a structured verdict with weighted scores and pass/warn/fail dispositions.

How does LLM-as-Judge grading work for deck validation?

LLM-as-Judge grading for deck validation applies weighted scoring across four dimensions: arc match for partnership angle alignment, grounding for factual accuracy, completeness for required modules, and visual polish for prospect-facing rendering readiness.

How do I detect fabricated or uncited claims in a partnership pitch deck?

To detect fabricated or uncited claims in a partnership pitch deck, use automated fabrication detection that flags unsupported statements and automatically floors the deck's scores, preventing factually incorrect content from reaching prospects.

Can I skip deck evaluation if the inline QA fails?

Yes, automated QA gating skips evaluation entirely if prior inline QA fails, preventing wasted effort on structurally invalid deck specifications and ensuring only valid specs are graded.

What is a structured verdict YAML for partnership deck evaluation?

A structured verdict YAML for partnership deck evaluation is an output format containing weighted scores, auto-surfaced concerns, and pass/warn/fail dispositions designed to support downstream aggregation and human review.

What are the limitations of automated partnership pitch deck evaluation?

A limitation of automated partnership pitch deck evaluation is that it gates on prior inline QA results and focuses on specifications prior to rendering, meaning it does not evaluate the final visual output or replace human review of prospect-facing slides.