account-health-framework

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

181 stars

Best use case

account-health-framework is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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

Teams using account-health-framework should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/account-health-framework/SKILL.md --create-dirs "https://raw.githubusercontent.com/majiayu000/claude-skill-registry/main/skills/data/account-health-framework/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/account-health-framework/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How account-health-framework Compares

Feature / Agentaccount-health-frameworkStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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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