partnership-microdemo-eval

Grade partnership micro-demo clips for fidelity, relevance, and provenance honesty.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prospect-facing partnership micro-demos with misrepresented or low-quality clips damage trust with potential partners and undermine sales efforts. Manual review of these artifacts is slow and inconsistent, especially for catching subtle provenance issues like mocked footage passed off as real reusable content. This skill automates consistent, rigorous quality evaluation to catch these issues before content reaches prospects.

Core Features & Use Cases

  • Three-Dimension Quality Grading: Evaluates clip fidelity to product beat claims, relevance to the selected partnership angle, and provenance honesty of clip sourcing, with weighted scoring aligned to sales risk.
  • Hard Guardrails: Enforces automatic BLOCKER verdicts for misrepresented provenance, missing source fields, or low overall scores to prevent non-compliant content from progressing to the video build phase.
  • Structured Verdict Output: Writes a standardized YAML verdict file that aggregates with other evaluation results for end-to-end ACE partnership workflow tracking. Use case: After a partnership micro-demo is generated for a new prospect, this skill automatically evaluates its quality and honesty to ensure it meets standards before being used in sales outreach.

Quick Start

Use the partnership-microdemo-eval skill to grade the micro-demo artifact for the current ACE partnership run and receive a structured quality verdict.

Frequently Asked Questions about partnership-microdemo-eval

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

FAQPage Schema
How do I automate quality grading for prospect-facing sales video clips?

Automate sales video clip quality grading by evaluating clip fidelity to product claims, relevance to partnership angles, and provenance honesty to generate structured YAML verdict files for downstream tracking.

What is micro-demo provenance checking and why does it matter for partnership content?

Micro-demo provenance checking verifies that clip sourcing is honest and accurately represented, preventing mocked footage from being passed off as real reusable content and protecting prospect trust during sales outreach.

How do I enforce hard blocker rules for misrepresented or missing clip sources?

Enforce hard blocker rules by automatically generating a BLOCKER verdict for any micro-demo artifact with misrepresented provenance, missing source fields, or low overall scores to stop non-compliant content progression.

Can I use LLM-as-judge to review sales content relevance and clip fidelity?

Yes, you can use LLM-as-judge to review sales content by grading clip fidelity to product beat claims and relevance to selected partnership angles with weighted scoring aligned to sales risk.

What are the limitations of automated micro-demo evaluation for partnership workflows?

Automated micro-demo evaluation is gated by upstream inline QA results and is limited to grading ACE partnership opportunity artifacts, meaning it cannot assess content that bypasses the standard generation workflow.

Do I need upstream inline QA results before running partnership-microdemo-eval?

Yes, upstream inline QA results are required as a gate before running this evaluation, ensuring the generated micro-demo artifact has already passed initial checks before final quality and honesty grading.