Check whether a dashboard can be trusted before a decision. — Claude Skill
Um Skill Claude para Claude Code por ElasticFlow✓ — executar /dashboard-audit no Claude·Atualizado em 12 de jun. de 2026·vmanual@2026-06-12
Reviews dashboard definitions, freshness, filters, owners, source systems, and obvious contradictions so teams know whether the numbers are safe to use.
- Explains whether dashboard numbers are decision-ready, stale, inconsistent, or missing context.
- Checks metric definitions, filters, date ranges, owner, refresh time, source system, and known caveats.
- Separates cosmetic dashboard issues from problems that can change a business decision.
- Returns a trust summary, risks, questions for the owner, and fixes to make before sharing.
A team opens a dashboard in a meeting, notices a number looks odd, and spends the discussion arguing about whether it is trustworthy.
Run /dashboard-audit before the meeting to identify stale data, unclear definitions, risky filters, and questions for the owner.
Para quem é
Review dashboard trust, definitions, source freshness, and blocking issues.
Ver skills para este cargoKnow whether product metrics are safe for launch or roadmap decisions.
Ver skills para este cargoCheck revenue dashboards before forecast, pipeline, or leadership reviews.
Ver skills para este cargoO que faz
Check whether a dashboard is safe to use in a weekly business review.
Find why numbers look wrong, stale, or inconsistent with another source.
Review definitions, filters, and owners before a new dashboard goes live.
Como funciona
Share dashboard screenshots, metric definitions, filters, SQL snippets, or exported numbers.
State the decision the dashboard is supposed to support.
The skill checks freshness, definitions, filters, source alignment, and contradictions.
A human confirms the source owner, fixes blocking issues, and decides whether the dashboard can be used.
Opções de entrada
Screenshots, exported table, metric definitions, filters, refresh timestamp, or SQL.
Exemplo
Dashboard: Weekly Revenue Overview. Decision: leadership will decide whether Q3 pipeline recovery plan is working. Observed: - Revenue chart says bookings are up 18%. - CRM report says commit forecast is down 9%. - Dashboard last refreshed Friday 18:00. - Filter excludes Enterprise region because of a saved view. - Owner listed: RevOps Analytics, but owner left last month. Need: can we use this dashboard in Monday review?
Do not use as the primary decision source yet. The dashboard may be useful for directional context, but two blocking issues can change the leadership decision.
Enterprise is excluded by a saved filter, and the owner is stale. Because Enterprise can materially change bookings and forecast, the dashboard is not decision-ready.
Friday refresh may be acceptable for Monday review only if weekend CRM changes are not material. Confirm refresh schedule and last successful job.
Who owns this dashboard now? Should Enterprise be included? Are bookings and commit forecast intentionally different metrics?
Reset filter, assign owner, refresh data, and add a note explaining bookings vs commit forecast.
Métricas que melhora
Funciona com
Em qualquer lugar
Paste the notes, exports, screenshots, or summaries you already have. The skill works without a connected system.
Connect the relevant support, analytics, CRM, or data tool when you want fresher source evidence.
Quer usar Dashboard Audit?
Escolha como começar.
Instale e execute este skill localmente no seu computador.
Abra um terminal no seu computador e cole este comando:
Visite o repositório no GitHub e siga as instruções de instalação no README.
Inicie o Claude Code e digite o comando:
Dashboard Audit
Command: /dashboard-audit
When to use it
Reviews dashboard definitions, freshness, filters, owners, source systems, and obvious contradictions so teams know whether the numbers are safe to use.
What the skill produces
- Explains whether dashboard numbers are decision-ready, stale, inconsistent, or missing context.
- Checks metric definitions, filters, date ranges, owner, refresh time, source system, and known caveats.
- Separates cosmetic dashboard issues from problems that can change a business decision.
- Returns a trust summary, risks, questions for the owner, and fixes to make before sharing.
Inputs to provide
- Dashboard evidence: Screenshots, exported table, metric definitions, filters, refresh timestamp, or SQL.
- Decision context: The meeting, business decision, launch, forecast, or review the dashboard supports.
- Known concerns: Numbers that look wrong, source differences, missing filters, or suspected stale data.
Recommended flow
- Share dashboard screenshots, metric definitions, filters, SQL snippets, or exported numbers.
- State the decision the dashboard is supposed to support.
- The skill checks freshness, definitions, filters, source alignment, and contradictions.
- A human confirms the source owner, fixes blocking issues, and decides whether the dashboard can be used.
Useful result example
Trust level
Do not use as the primary decision source yet. The dashboard may be useful for directional context, but two blocking issues can change the leadership decision.
Blocking issues
Enterprise is excluded by a saved filter, and the owner is stale. Because Enterprise can materially change bookings and forecast, the dashboard is not decision-ready.
Freshness risk
Friday refresh may be acceptable for Monday review only if weekend CRM changes are not material. Confirm refresh schedule and last successful job.
Owner questions
Who owns this dashboard now? Should Enterprise be included? Are bookings and commit forecast intentionally different metrics?
Fix before meeting
Reset filter, assign owner, refresh data, and add a note explaining bookings vs commit forecast.
Guardrails
- Keep user-provided numbers, dates, tool names, commands, IDs, URLs, and rules intact.
- Do not invent a source, metric, owner, decision, or risk that is not present in the supplied material.
- Clearly mark what a human must confirm before publishing, changing a tool, or making a business decision.
Documentos de referência
Dashboard Audit
ElasticFlow editorial instructions for presenting /dashboard-audit in the catalogue.
Purpose
Reviews dashboard definitions, freshness, filters, owners, source systems, and obvious contradictions so teams know whether the numbers are safe to use.
Non-technical presentation
Explain the business problem, what the user provides, what the AI returns, and what a human still needs to confirm. Avoid implementation detail unless the user supplied it.
Catalogue Presentation Method
Every skill should read clearly for a business owner: current painful workflow, better workflow, concrete example, and review checklist.
The page must answer four questions: when to use it, what to provide, what the AI returns, and which human decision remains.