cycle-grade

Grade closed ACE opportunity cycles using archetype-specific rubrics and GDrive evidence.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

ACE teams lack a consistent, evidence-based process for grading closed opportunity cycles, leading to ad-hoc assessments that miss key improvement opportunities for future work.

Core Features & Use Cases

  • Archetype-Specific Grading: Applies tailored rubrics for atomic-visit, focus-group, and multi-stage ACE opportunities, scoring across core dimensions like intervention effectiveness, app quality, and FLW performance with criteria matched to each opportunity type.
  • Actionable Recommendations: Generates clear feedback including top wins to retain, key improvements for the next cycle, and per-skill suggestions to optimize future ACE runs.
  • Integrated Closeout Workflow: Writes the final grade report to GDrive, updates the run state with the headline grade for downstream tools like ace-web, and emails the admin group with the full assessment.
  • Use Case: After closing a focus-group based ACE opportunity, use this skill to automatically grade facilitation quality, research yield, and all other relevant dimensions, then get a clear report of what to adjust for the next focus-group cycle.

Quick Start

Use the cycle-grade skill to grade the closed ACE opportunity named [opp-name] and generate the final closeout report.

Frequently Asked Questions about cycle-grade

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

FAQPage Schema
How do I grade closed ACE opportunity cycles automatically?

Grade closed ACE opportunity cycles by applying archetype-specific rubrics to evidence from GDrive artifacts. The process scores dimensions like intervention effectiveness and FLW performance, then generates a final grade report with actionable recommendations.

What is the best way to assess ACE focus-group facilitation quality after a cycle ends?

Assess ACE focus-group facilitation quality by applying tailored rubrics that score research yield and intervention effectiveness. This generates a clear report detailing what to adjust for the next focus-group cycle.

Can I use GDrive artifacts to evaluate multi-stage ACE opportunities?

Yes, you can evaluate multi-stage ACE opportunities using GDrive artifacts. The grading mechanism applies tailored rubrics to score app quality and FLW performance specific to each opportunity type.

How do I automate ACE closeout workflows with improvement recommendations?

Automate ACE closeout workflows by generating a final grade report that writes to GDrive, updates the run state with a headline grade for downstream tools, and emails the admin group with full assessments and actionable recommendations.

Does cycle grading support atomic-visit opportunity types?

Yes, cycle grading supports atomic-visit opportunity types. It applies specific rubrics to score intervention effectiveness and app quality, providing tailored criteria and per-skill suggestions for future runs.

What limitations exist when grading ACE opportunities with archetype rubrics?

Grading ACE opportunities with archetype rubrics is limited to atomic-visit, focus-group, and multi-stage opportunity types. It requires GDrive artifacts for evidence and targets closed cycles, not active runs.