Live Operations Dashboard Reference Pack
by John Barros
Design structured operations dashboards with metric source mapping and live-vs-static data classification.
- Classify metrics as live API data or static manual exports to prevent errors.
- Design dashboard layouts for revenue, pipeline, and customer support signals.
- Identify missing data sources and connector gaps before building reports.
$28
· or 140 creditsSecure checkout via Stripe
Included in download
- Classify metrics as live API data or static manual exports to prevent errors.
- Design dashboard layouts for revenue, pipeline, and customer support signals.
- Ready for Claude Code
See it in action
You say
I need to plan a dashboard for my agency. We track revenue in Stripe, leads in Hubspot, and content stats in a Google Sheet. Some data is manual. Help me map the sources and layout.
Your agent does
Dashboard status: DASHBOARD_PLAN_READY Type: REFRESHABLE_DASHBOARD Source Map:
- MRR: Stripe (Live Connector)
- New Leads: Hubspot (Refreshable)
- Content Views: Sheets (Static Export)
Layout: Top KPI row followed by Revenue/Pipeline sections. Data gap: Newsletter stats missing.
Live Operations Dashboard Reference Pack
by John Barros
Design structured operations dashboards with metric source mapping and live-vs-static data classification.
$28
· or 140 creditsSecure checkout via Stripe
Included in download
- Classify metrics as live API data or static manual exports to prevent errors.
- Design dashboard layouts for revenue, pipeline, and customer support signals.
- Ready for Claude Code
- Instant install
See it in action
You say
I need to plan a dashboard for my agency. We track revenue in Stripe, leads in Hubspot, and content stats in a Google Sheet. Some data is manual. Help me map the sources and layout.
Your agent does
Dashboard status: DASHBOARD_PLAN_READY Type: REFRESHABLE_DASHBOARD Source Map:
- MRR: Stripe (Live Connector)
- New Leads: Hubspot (Refreshable)
- Content Views: Sheets (Static Export)
Layout: Top KPI row followed by Revenue/Pipeline sections. Data gap: Newsletter stats missing.
About This Skill
The problem
Business dashboards fail when live API data is mixed with static manual exports without clear labels. Founders and operators often struggle with fragmented metrics across Stripe, CRMs, and spreadsheets, leading to unverified numbers and stale reports.
What it does
- Builds a structured dashboard scaffold across revenue, pipeline, marketing, and support.
- Maps every metric to its primary source while classifying it as live, refreshable, or static.
- Generates a data gap register to highlight missing connectors or stale information.
- Produces an executive summary structure and a validation checklist for human review.
- Creates a repeatable reporting workflow with a mandatory final receipt.
Frameworks & tools
Designed for data from Stripe, CRM platforms, Notion, Slack, Google Workspace, and email marketing tools.
Why this beats prompting it yourself
This skill enforces a strict operating procedure that separates verified data from assumptions. It prevents the common pitfall of treating LLM-generated placeholders as real-time business intelligence by requiring source mapping and refresh cadence notes.
Use cases
- Designing a weekly founder review dashboard for revenue and pipeline tracking.
- Mapping agency client operations across multiple marketing and social platforms.
- Identifying data gaps and connector requirements before building a formal BI tool.
- Structuring executive summaries for monthly leadership business reviews.
Known limitations
Does not provide actual data engineering, real-time API connectors, or automated financial decision-making capabilities.
Use Cases
- Classify metrics as live API data or static manual exports to prevent errors.
- Design dashboard layouts for revenue, pipeline, and customer support signals.
- Identify missing data sources and connector gaps before building reports.
- Standardize executive summaries for repeatable weekly business reviews.
- Create validation checklists to verify metric accuracy before leadership reviews.
Known Limitations
Live Operations Dashboard Reference Pack
- This is a human-supervised skill pack, not a fully autonomous system.
- Output quality depends on the buyer providing accurate context around: Business dashboards become misleading when live and static metrics are mixed, source access is unclear, refresh cadence is undefined, data gaps are hidden, and numbers are treated as final without review.
- It does not collect credentials, API keys, passwords, private customer data, or platform logins.
- It does not perform hidden network calls, autonomous posting, autonomous deployment, destructive changes, or unapproved production actions.
- Not a fully autonomous agent.
- Not a guarantee of revenue, rankings, security, compliance, correctness, or performance.
- Not a replacement for employees, developers, staff, or expert review.
- Not a no-human-review system.
- Not an instant or magic outcome product.
- Buyers must validate inputs, assumptions, permissions, source material, generated outputs, and final decisions before use.
How to install
Drop the file into your AI tool. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Early access skill
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Security Scanned
Passed automated security review
Permissions
No special permissions declared or detected
Compatible with SKILL.md-compatible agents including Cursor, Claude Code, and VS Code.
Creator
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