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Student success scorecard

Skill Microck/ordinary-claude-skills/skills_all/student-success-scorecard

Metrics framework for monitoring engagement, progression, and completion.From its SKILL.md

Install
npx -y skills add Microck/ordinary-claude-skills --skill student-success-scorecard

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

SKILL.md

1.2 KB, 244 tokens by cl100k_base, as published. Nobody here has run it

Student Success Scorecard Skill

When to Use

  • Setting KPIs for new cohorts or programs.
  • Diagnosing retention risks and intervention impact.
  • Reporting to leadership, accreditation bodies, or partners.

Framework

  1. Metric Stack – inquiry-to-enrollment, onboarding completion, engagement streaks, assignment submissions, completion rate, CSAT/NPS.
  2. Segmentation – by cohort, modality, persona, geography, instructor, partner.
  3. Risk Signals – inactivity thresholds, support ticket spikes, sentiment drops.
  4. Intervention Tracker – log nudges, coaching sessions, community events, results.
  5. Insight Narrative – highlights, risks, opportunities, recommended actions.

Templates

  • Scorecard dashboard layout (summary + drill-down tabs).
  • Risk heatmap template for cohorts/segments.
  • Intervention log sheet linking actions to KPI movement.

Tips

  • Automate data pulls from LMS/CRM to reduce manual effort.
  • Pair leading indicators (logins, submissions) with lagging outcomes (completion, placement).
  • Use with launch-student-success-program to define monitoring cadence.

What ships with it: 1 file

574 B alongside SKILL.md

Gives 0 of the 12 instructions most education skills give in 244 tokens

Counted across 169 of the 171 authors here whose files we hold, read 2026-08-07

  • Search for existing resources before creating new onesin 7 of 169, across 3 files
  • Check tool responses for errors before proceedingin 7 of 169, across 3 files
  • Reduce request frequency on rate limit errorsin 7 of 169, across 3 files
  • Confirm connection status is ACTIVE before running workflowsin 7 of 169, across 3 files
  • Execute prerequisite steps first in workflowsin 7 of 169, across 3 files
  • Handle pagination by fetching until exhaustedin 7 of 169, across 3 files
  • Re-authenticate if the connection expiredin 6 of 169, across 2 files
  • Always call RUBE_SEARCH_TOOLS first to get schemasin 6 of 169, across 2 files
  • Pass strictly schema-compliant tool argumentsin 6 of 169, across 2 files
  • Run the skill generator if the shared file is missingin 6 of 169, across 3 files
  • Create the coursein 5 of 169, across 3 files
  • List enrolled studentsin 5 of 169, across 3 files

Said here and by no other author read

  • set KPIs for cohorts or programs
  • diagnose retention risks and intervention impact
  • report to leadership accreditation or partners
  • segment metrics by cohort modality or persona
  • track risk signals like inactivity or sentiment drops
  • log nudges coaching sessions and results

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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