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Reporting Dashboards

Organization
serac-labs
reporting-dashboards

Build ServiceNow reports (list/bar/pie/line/pivot/single-score) on sys_report, sys_dashboard layouts with widget placement, scheduled report delivery, and drill-down configuration.

Overview

Publisherserac-labs
Repositoryserac
Skill namereporting-dashboards
Stars
78
Forks
26
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by serac-labs on GitHub. Read the source before you install it.

Installation

Install the Reporting Dashboards AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/serac-labs/serac.git /tmp/serac
mkdir -p .claude/skills
cp -r /tmp/serac/packages/skills/reporting-dashboards .claude/skills/reporting-dashboards
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Reporting Dashboards in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Reporting Dashboards on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Reporting Dashboards is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Reporting & Dashboards for ServiceNow

ServiceNow provides comprehensive reporting capabilities for data visualization and business intelligence.

Report Types

TypeUse CaseExample
ListTabular dataIncident list
BarCategory comparisonIncidents by priority
Pie/DonutDistributionTickets by category
Line/AreaTrends over timeWeekly ticket volume
Pivot TableMulti-dimensionalPriority x Category
Single ScoreKPI valueOpen P1 count
GaugeProgress/thresholdSLA compliance

Creating Reports

List Report (ES5)

javascript
// Create list report
var report = new GlideRecord("sys_report")
report.initialize()

report.setValue("title", "Open High Priority Incidents")
report.setValue("table", "incident")
report.setValue("type", "list")

// Filter condition
report.setValue("filter", "active=true^priority<=2")

// Columns
report.setValue("field", "number,short_description,priority,state,assigned_to,opened_at")

// Sorting
report.setValue("orderby", "priority")
report.setValue("order", "ASC")

// Grouping (optional)
report.setValue("group", "assignment_group")

// Access control
report.setValue("user", gs.getUserID())
report.setValue("roles", "itil")

report.insert()

Bar Chart Report (ES5)

javascript
// Create bar chart
var barReport = new GlideRecord("sys_report")
barReport.initialize()

barReport.setValue("title", "Incidents by Priority")
barReport.setValue("table", "incident")
barReport.setValue("type", "bar")

// Aggregation
barReport.setValue("aggregate", "COUNT")
barReport.setValue("group", "priority")

// Filter
barReport.setValue("filter", "active=true")

// Chart options
barReport.setValue("show_data_label", true)
barReport.setValue("show_legend", true)
barReport.setValue("chart_color", "blue")

barReport.insert()

Trend Report (ES5)

javascript
// Create trend line chart
var trendReport = new GlideRecord("sys_report")
trendReport.initialize()

trendReport.setValue("title", "Incident Volume - Last 30 Days")
trendReport.setValue("table", "incident")
trendReport.setValue("type", "line")

// Time-based grouping
trendReport.setValue("trend", "opened_at")
trendReport.setValue("trend_interval", "day")

// Aggregation
trendReport.setValue("aggregate", "COUNT")

// Time filter
var thirtyDaysAgo = new GlideDateTime()
thirtyDaysAgo.addDaysLocalTime(-30)
trendReport.setValue("filter", "opened_at>=" + thirtyDaysAgo.getValue())

// Stacked by category
trendReport.setValue("stack", "priority")

trendReport.insert()

Pivot Table (ES5)

javascript
// Create pivot table
var pivotReport = new GlideRecord("sys_report")
pivotReport.initialize()

pivotReport.setValue("title", "Incidents: Priority vs Category")
pivotReport.setValue("table", "incident")
pivotReport.setValue("type", "pivot")

// Dimensions
pivotReport.setValue("group", "priority") // Rows
pivotReport.setValue("stack", "category") // Columns

// Aggregation
pivotReport.setValue("aggregate", "COUNT")

// Filter
pivotReport.setValue("filter", "active=true")

// Show totals
pivotReport.setValue("show_row_total", true)
pivotReport.setValue("show_column_total", true)

pivotReport.insert()

Dashboards

Creating Dashboard (ES5)

javascript
// Create dashboard
var dashboard = new GlideRecord("sys_dashboard")
dashboard.initialize()

dashboard.setValue("name", "IT Service Desk Dashboard")
dashboard.setValue("description", "Key metrics for service desk operations")

// Layout
dashboard.setValue("layout", "3") // 1, 2, 3, or 4 columns

// Access
dashboard.setValue("view_as", "desktop")
dashboard.setValue("roles", "itil")

var dashboardSysId = dashboard.insert()

Adding Widgets to Dashboard (ES5)

javascript
// Add report widget
function addReportToDashboard(dashboardId, reportId, row, column, width, height) {
  var widget = new GlideRecord("sys_dashboard_widget")
  widget.initialize()
  widget.setValue("dashboard", dashboardId)
  widget.setValue("report", reportId)
  widget.setValue("row", row)
  widget.setValue("column", column)
  widget.setValue("width", width || 1) // columns wide
  widget.setValue("height", height || 1) // rows tall
  return widget.insert()
}

// Layout example (3-column dashboard)
// Row 0: Three single-score cards
addReportToDashboard(dashboardSysId, openIncidentsReport, 0, 0, 1, 1)
addReportToDashboard(dashboardSysId, avgResolutionReport, 0, 1, 1, 1)
addReportToDashboard(dashboardSysId, slaComplianceReport, 0, 2, 1, 1)

// Row 1: Full-width trend chart
addReportToDashboard(dashboardSysId, trendReport, 1, 0, 3, 2)

// Row 2: Two charts side by side
addReportToDashboard(dashboardSysId, priorityPieChart, 3, 0, 1, 2)
addReportToDashboard(dashboardSysId, categoryBarChart, 3, 1, 2, 2)

Scheduled Reports

Create Scheduled Report (ES5)

javascript
// Schedule report for email delivery
var schedule = new GlideRecord("sys_report_schedule")
schedule.initialize()

schedule.setValue("report", reportSysId)
schedule.setValue("name", "Weekly Incident Summary")

// Recipients
schedule.setValue("recipients", "it-managers@company.com")
schedule.setValue("recipient_users", managersSysIds) // comma-separated
schedule.setValue("recipient_groups", itManagersGroup)

// Schedule (cron)
schedule.setValue("run", "weekly")
schedule.setValue("day", "monday")
schedule.setValue("time", "08:00:00")

// Format
schedule.setValue("format", "pdf") // pdf, xlsx, csv

// Email settings
schedule.setValue("subject", "Weekly IT Incident Summary")
schedule.setValue("message", "Please find attached the weekly incident summary report.")

schedule.setValue("active", true)

schedule.insert()

Advanced Reporting

Report with Formula Field (ES5)

javascript
// Report with calculated field
var report = new GlideRecord("sys_report")
report.initialize()

report.setValue("title", "SLA Breach Analysis")
report.setValue("table", "task_sla")
report.setValue("type", "bar")

// Custom formula aggregation
report.setValue("aggregate", "SUM")
report.setValue("field", "has_breached") // Boolean to count

// Percentage calculation
report.setValue("formula", "CASE WHEN {has_breached} = 1 THEN 1 ELSE 0 END")

report.setValue("group", "sla.name")

report.insert()

Drill-Down Report (ES5)

javascript
// Create report with drill-down capability
var summaryReport = new GlideRecord("sys_report")
summaryReport.initialize()

summaryReport.setValue("title", "Incidents by Assignment Group")
summaryReport.setValue("table", "incident")
summaryReport.setValue("type", "bar")
summaryReport.setValue("aggregate", "COUNT")
summaryReport.setValue("group", "assignment_group")

// Enable drill-down
summaryReport.setValue("is_drillable", true)
summaryReport.setValue("drill_down_report", detailReportSysId)

summaryReport.insert()

Export & Integration

Export Report Data (ES5)

javascript
// Export report to CSV
function exportReportToCSV(reportSysId) {
  var report = new GlideRecord("sys_report")
  if (!report.get(reportSysId)) return null

  var ga = new GlideAggregate(report.getValue("table"))

  // Apply filter
  var filter = report.getValue("filter")
  if (filter) {
    ga.addEncodedQuery(filter)
  }

  // Apply grouping
  var groupField = report.getValue("group")
  if (groupField) {
    ga.addAggregate("COUNT")
    ga.groupBy(groupField)
  }

  ga.query()

  var results = []
  while (ga.next()) {
    results.push({
      group: ga.getValue(groupField),
      count: ga.getAggregate("COUNT"),
    })
  }

  return results
}

REST API for Reports

javascript
// Get report data via REST
// GET /api/now/stats/{table}?sysparm_query={filter}&sysparm_count=true&sysparm_group_by={field}

// Example: Incidents by priority
// GET /api/now/stats/incident?sysparm_query=active=true&sysparm_count=true&sysparm_group_by=priority

MCP Tool Integration

Available Reporting Tools

ToolPurpose
snow_create_reportCreate report
snow_create_dashboardCreate dashboard
snow_pa_create (action='scheduled_report')Schedule delivery
snow_pa_discover (action='reporting_tables')Find available tables
snow_pa_discover (action='report_fields')Get field options
snow_pa_operate (action='export_report')Export data
snow_pa_create (action='visualization')Create chart

Example Workflow

javascript
// 1. Discover available tables
var tables = await snow_pa_discover({
  action: "reporting_tables",
  category: "itsm",
})

// 2. Get fields for table
var fields = await snow_pa_discover({
  action: "report_fields",
  table: "incident",
})

// 3. Create report
var reportId = await snow_create_report({
  title: "Incident Overview",
  table: "incident",
  type: "bar",
  group: "priority",
  aggregate: "COUNT",
  filter: "active=true",
})

// 4. Create dashboard
var dashboardId = await snow_create_dashboard({
  name: "Service Desk Overview",
  layout: "3-column",
})

// 5. Add report to dashboard
await snow_add_dashboard_widget({
  dashboard: dashboardId,
  report: reportId,
  row: 0,
  column: 0,
})

// 6. Schedule report (looked up by name, recipients as array)
await snow_pa_create({
  action: "scheduled_report",
  reportName: "Incident Overview",
  schedule: "weekly",
  recipients: ["managers@company.com"],
  format: "PDF",
})

Best Practices

  1. Clear Titles - Descriptive, action-oriented names
  2. Appropriate Type - Match chart type to data
  3. Filter Wisely - Default to relevant subset
  4. Color Meaning - Consistent color conventions
  5. Mobile Friendly - Test on smaller screens
  6. Performance - Limit rows, use aggregations
  7. Access Control - Role-based visibility
  8. Regular Refresh - Keep data current

Frequently asked questions

What does the Reporting Dashboards AI skill do?

Build ServiceNow reports (list/bar/pie/line/pivot/single-score) on sys_report, sys_dashboard layouts with widget placement, scheduled report delivery, and drill-down configuration.

Why use Reporting Dashboards on TypingMind?

Because you install it once and use it with any model. Reporting Dashboards is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Reporting Dashboards in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/serac-labs/serac/tree/main/packages/skills/reporting-dashboards. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Reporting Dashboards?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Reporting Dashboards?

As many as you like. As long as a model supports skills, you can use Reporting Dashboards with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Reporting Dashboards AI skill free?

Yes. It is published on GitHub by serac-labs under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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