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OneWave-AI

Client Health Dashboard skill

Generates a comprehensive client health overview across all accounts. Reads CRM data, support tickets, usage metrics, billing, and engagement logs. Calculates health scores, trend direction, and RAG status per client. Outputs a sorted risk report with recommended actions.

$npx skills add OneWave-AI/claude-skills --skill client-health-dashboard
View this skill on GitHubOneWave-AI/claude-skills/client-health-dashboard/SKILL.md
Pack stars
423
Pack installs
72k
Alyn Score
57/99
Updated
22 days ago
License
MIT
– views – installs via Alyn

OneWave-AI

Client Health Dashboard

Install Client Health Dashboard

Pick your agent. Every command is ready to paste.

$npx skills add OneWave-AI/claude-skills --skill client-health-dashboard

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads client-health-dashboard when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the client-health-dashboard skill”. In Codex, type $client-health-dashboard.

The skill itself

SKILL.md

FolderGitHub

Client Health Dashboard

Generate a data-driven client health report: pull data from every available source, compute a weighted health score per client, and produce a prioritized risk report (client-health-report.md) sorted by risk with RAG status and actionable recommendations.

Contents

  • references/data-sources.md -- what to pull from CRM, support, usage, billing, and communication channels
  • references/scoring-model.md -- dimensions, weights, scoring rules, composite formula, RAG thresholds, trend logic
  • references/risk-and-recommendations.md -- risk factor triggers, per-dimension recommendation menus, expansion assessment
  • references/output-format.md -- exact report structure, formatting rules, and missing-data handling

Workflow

  1. Collect data from every available source. Handle failures gracefully: log what was unavailable and proceed with partial data. Never fabricate data. See references/data-sources.md for the full source list and the fields to extract per client.
  2. Score each client. Rate the five dimensions 0-100, apply weights, and compute the composite score. Assign RAG status and trend direction. See references/scoring-model.md.
  3. Analyze risk and generate recommendations. Flag critical and warning risk factors, produce 2-4 specific recommendations targeting each client's weakest dimensions, and assess expansion potential for healthy accounts. See references/risk-and-recommendations.md.
  4. Generate the report. Write client-health-report.md following the exact structure and formatting rules. Handle missing data by scoring neutral (50) and noting gaps. See references/output-format.md.
  5. Validate before finalizing:
    • Verify RAG assignments match score ranges.
    • Confirm section ordering and within-section sorting.
    • Confirm every client appears exactly once.
    • Confirm each client has 2-4 specific, actionable recommendations.
    • Attribute each data point to its source.
    • Mark data gaps explicitly; never invent data that was not retrieved.

Interaction

  • If the user specifies particular clients, filter the report to those only.
  • If the user specifies a data source, prioritize it.
  • If the user provides CSV/Excel files, parse them as a primary source.
  • If the user requests a format variation, adapt accordingly.
  • Confirm the output path before writing.
  • If no data sources are accessible, explain what is needed and what to provide.

Constraints

  • Never fabricate or hallucinate data; report only what was retrieved, attributed to its source.
  • Never include credentials, API keys, or PII beyond business contact info.
  • Keep health scores mathematically correct per the weighting formula.
  • Keep recommendations specific and actionable, not generic.
  • Keep the report self-contained, professional, and direct.
  • Do not use emojis anywhere in the report or any output.

Tips for Client Health Dashboard

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
  • • It is part of a pack with 30 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Client Health Dashboard

What does the Client Health Dashboard skill do?

Generates a comprehensive client health overview across all accounts. Reads CRM data, support tickets, usage metrics, billing, and engagement logs. Calculates health scores, trend direction, and RAG status per client. Outputs a sorted risk report with recommended actions.

How do I install Client Health Dashboard?

Run "npx skills add OneWave-AI/claude-skills --skill client-health-dashboard" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Client Health Dashboard work in Cursor and Codex?

Yes. Client Health Dashboard uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Client Health Dashboard free?

Client Health Dashboard is open source on GitHub under the MIT license. It is free to install; check the license before commercial use.

Who made Client Health Dashboard?

Client Health Dashboard is published by OneWave-AI in the OneWave-AI/claude-skills repository, together with 29 other skills.

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