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Automation
Skill

/account-health-framework

Use to score accounts, flag risks, and standardize remediation triggers.

From plugin
gtm-agents
368200 skills200 agents199 commands
Install
$ npx -y skills add gtmagents/gtm-agents --skill account-health-framework --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/account-health-framework

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use to score accounts, flag risks, and standardize remediation triggers.

SKILL.md

account-health-framework.SKILL.md
name: account-health-framework
description: Use to score accounts, flag risks, and standardize remediation triggers.

Account Health Framework Skill

When to Use

  • Building dashboards or scorecards for CS/account management reviews.
  • Triggering proactive outreach based on usage, sentiment, or commercial shifts.
  • Aligning leadership on what defines green/yellow/red customers.

Framework

1. **Signal Library** – define categories (product usage, support, sentiment, executive alignment, commercial). 2. **Weighting & Thresholds** – assign weights and thresholds per segment/tier. 3. **Automation Hooks** – map scores to alerts, workflows, and CRM fields. 4. **Play Mapping** – connect each tier to recommended plays and owners. 5. **Review Cadence** – set refresh frequency, calibration sessions, and feedback loops.

Templates

  • **Health Scorecard**: See `assets/health_scorecard.md` for calculation and components.
  • **Risk/opportunity matrix** with recommended plays.
  • **Alert + workflow checklist** for RevOps.

Tips

  • Tune weights by segment to avoid false positives.
  • Include qualitative inputs (exec sentiment, champion strength) to supplement data.
  • Audit data sources quarterly to maintain trust in the score.

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