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fernandoartalffernandoartalf/AL-Copilot-Skills-Collection/skills/bc-telemetry-generator/SKILL.md

bc-telemetry-generator

Skill28 starsChanged 7 months agoMITView on GitHub

Instruments Business Central AL codeunits with Application Insights telemetry using the System Application Telemetry codeunit. Analyzes an existing codeunit supplied by the user, generates a dedicated Feature Usage Telemetry codeunit (or extends an existing one) with helper procedures for LogStart/LogEnd with automatic duration, LogError with call stack, LogFeatureUsage, and LogPerformanceWarning. Adds Telemetry.LogMessage calls with consistent event IDs (PREFIX-NNN), meaningful custom dimensions (Dictionary of [Text, Text]), proper Verbosity levels (Normal, Warning, Error, Critical), correct DataClassification (SystemMetadata, CustomerContent, EndUserIdentifiableInformation), and TelemetryScope::ExtensionPublisher. Covers five telemetry categories — lifecycle events (started/completed), error tracking (validation/posting failures), performance monitoring (slow operation warnings with threshold comparison), feature usage analytics (discount types, payment methods, order size distribution), and contextual telemetry (environment, version, anonymized user). Generates KQL queries for Application Insights analysis. Use when adding telemetry to codeunits, instrumenting AL code with Application Insights, tracking feature usage, monitoring performance, logging errors with custom dimensions, creating telemetry helper codeunits, or implementing observability for BC extensions.

The file

We split this skill into the rules it gives an agent

12 rules. About 0 are common, 7 are distinctive, and 5 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈7

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 5

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Ask the user which codeunit to instrument.

    line 23
  2. Distinctive:

    Check if a telemetry helper already exists in the workspace.

    line 48
  3. Very specific:

    Use CustomerContent classification label for business data (order no, customer no, amounts)

    line 144
  4. Very specific:

    Use SystemMetadata for technical data (duration, counts, operation names)

    line 145
  5. Very specific:

    Use EndUserIdentifiableInformation for user references — anonymize when possible

    line 146
  6. Distinctive:

    Never log passwords, API keys, credit card numbers, or PII

    line 147
  7. Distinctive:

    Keep dimension count under 15 per event for readability

    line 148
  8. Distinctive:

    Add telemetry calls to the target codeunit using the helper:

    line 152
  9. Very specific:

    Run al_build to verify compilation

    line 219
  10. Very specific:

    Check @problems for errors

    line 220
  11. Distinctive:

    Verify no sensitive data is logged

    line 221
  12. Distinctive:

    Keep the AREA tag short (4-8 chars)

    line 233

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

BC Telemetry Generator

Instruments Business Central AL codeunits with Application Insights telemetry. Analyzes a target codeunit, creates or extends a dedicated telemetry helper codeunit, and adds Telemetry.LogMessage calls following Microsoft best practices.

Reference: alguidelines.dev — Adding Telemetry

Prerequisites

  • Target codeunit to instrument (user provides the codeunit)
  • Available object ID for telemetry helper codeunit
  • Extension prefix established (e.g., BCS)
  • Application Insights configured in extension (or environment)

Workflow

Step 1: Read the Target Codeunit

Ask the user which codeunit to instrument. Read the file and identify:

  • Public procedures — entry points needing start/end tracking
  • Validation procedures — needing warning-level telemetry on failure
  • Error-prone operations — posting, external calls, database writes
  • Performance-sensitive paths — loops, bulk operations, external HTTP calls
  • Feature decision points — discount type selection, payment method, routing logic

Step 2: Plan Telemetry Strategy

For each identified procedure, determine:

CategoryVerbosityWhen to Log
Lifecycle (start/end)NormalEntry points, key milestones
ErrorErrorCatch blocks, posting failures, validation errors
WarningWarningValidation failures, degraded paths
PerformanceWarningOperations exceeding threshold
Feature usageNormalBusiness decisions, option selections

Event ID scheme: [PREFIX]-[AREA][NNN] for info, [PREFIX]-[AREA]E[NNN] for errors, [PREFIX]-[AREA]W[NNN] for warnings, [PREFIX]-[AREA]P[NNN] for performance.

Example: BCS-SALES001, BCS-SALESE001, BCS-SALESW001, BCS-SALESP001

Step 3: Create or Extend Telemetry Helper Codeunit

Check if a telemetry helper already exists in the workspace. If so, add new procedures to it. If not, create one.

File location: Same feature folder as the target codeunit, or Codeunit/ folder.

Naming: [Prefix] [Feature] Telemetry (e.g., BCS Sales Telemetry)

Telemetry Helper Structure

codeunit [ID] "[Prefix] [Feature] Telemetry"
{
  Access = Internal;
  SingleInstance = true;

  var
    Telemetry: Codeunit Telemetry;

  procedure LogOperationStarted(EventId: Text; Message: Text; CustomDimensions: Dictionary of [Text, Text])
  begin
    Telemetry.LogMessage(
      EventId, Message,
      Verbosity::Normal, DataClassification::SystemMetadata,
      TelemetryScope::ExtensionPublisher, CustomDimensions);
  end;

  procedure LogOperationCompleted(EventId: Text; Message: Text; StartTime: DateTime; CustomDimensions: Dictionary of [Text, Text])
  var
    DurationMs: Duration;
  begin
    DurationMs := CurrentDateTime - StartTime;
    CustomDimensions.Set('DurationMs', Format(DurationMs));
    Telemetry.LogMessage(
      EventId, Message,
      Verbosity::Normal, DataClassification::SystemMetadata,
      TelemetryScope::ExtensionPublisher, CustomDimensions);
  end;

  procedure LogError(EventId: Text; Message: Text; CustomDimensions: Dictionary of [Text, Text])
  begin
    CustomDimensions.Set('ErrorMessage', GetLastErrorText());
    CustomDimensions.Set('ErrorCallStack', GetLastErrorCallStack());
    Telemetry.LogMessage(
      EventId, Message,
      Verbosity::Error, DataClassification::SystemMetadata,
      TelemetryScope::ExtensionPublisher, CustomDimensions);
  end;

  procedure LogWarning(EventId: Text; Message: Text; CustomDimensions: Dictionary of [Text, Text])
  begin
    Telemetry.LogMessage(
      EventId, Message,
      Verbosity::Warning, DataClassification::SystemMetadata,
      TelemetryScope::ExtensionPublisher, CustomDimensions);
  end;

  procedure LogFeatureUsage(EventId: Text; FeatureArea: Text; FeatureAction: Text; CustomDimensions: Dictionary of [Text, Text])
  begin
    CustomDimensions.Set('FeatureArea', FeatureArea);
    CustomDimensions.Set('FeatureAction', FeatureAction);
    Telemetry.LogMessage(
      EventId, FeatureArea + ' - ' + FeatureAction,
      Verbosity::Normal, DataClassification::SystemMetadata,
      TelemetryScope::ExtensionPublisher, CustomDimensions);
  end;

  procedure LogPerformanceWarning(EventId: Text; OperationName: Text; DurationMs: Duration; ThresholdMs: Integer; CustomDimensions: Dictionary of [Text, Text])
  begin
    if DurationMs <= ThresholdMs then
      exit;

    CustomDimensions.Set('Operation', OperationName);
    CustomDimensions.Set('DurationMs', Format(DurationMs));
    CustomDimensions.Set('ThresholdMs', Format(ThresholdMs));
    Telemetry.LogMessage(
      EventId,
      StrSubstNo('Slow operation detected: %1 (%2 ms, threshold %3 ms)', OperationName, DurationMs, ThresholdMs),
      Verbosity::Warning, DataClassification::SystemMetadata,
      TelemetryScope::ExtensionPublisher, CustomDimensions);
  end;
}

Step 4: Add Dimension Builder Procedures

For each entity involved, create a dimension builder that collects standard fields:

local procedure AddOrderDimensions(var Dims: Dictionary of [Text, Text]; SalesHeader: Record "Sales Header")
begin
  Dims.Add('OrderNo', SalesHeader."No.");
  Dims.Add('CustomerNo', SalesHeader."Sell-to Customer No.");
  Dims.Add('DocumentType', Format(SalesHeader."Document Type"));
end;

Rules for custom dimensions:

  • Use CustomerContent classification label for business data (order no, customer no, amounts)
  • Use SystemMetadata for technical data (duration, counts, operation names)
  • Use EndUserIdentifiableInformation for user references — anonymize when possible
  • Never log passwords, API keys, credit card numbers, or PII
  • Keep dimension count under 15 per event for readability

Step 5: Instrument the Target Codeunit

Add telemetry calls to the target codeunit using the helper:

Lifecycle Events (Start/End)

procedure ProcessOrder(var SalesHeader: Record "Sales Header"): Boolean
var
  BCStelemetry: Codeunit "BCS Sales Telemetry";
  CustomDimensions: Dictionary of [Text, Text];
  StartTime: DateTime;
begin
  StartTime := CurrentDateTime;
  AddOrderDimensions(CustomDimensions, SalesHeader);
  BCStelemetry.LogOperationStarted('BCS-SALES001', 'Order processing started', CustomDimensions);

  // ... existing logic ...

  Clear(CustomDimensions);
  AddOrderDimensions(CustomDimensions, SalesHeader);
  BCStelemetry.LogOperationCompleted('BCS-SALES002', 'Order processing completed', StartTime, CustomDimensions);
  exit(true);
end;

Error Tracking

if not PostOrder(SalesHeader) then begin
  Clear(CustomDimensions);
  AddOrderDimensions(CustomDimensions, SalesHeader);
  BCStelemetry.LogError('BCS-SALESE001', 'Order posting failed', CustomDimensions);
  exit(false);
end;

Validation Warnings

if Customer.Blocked <> Customer.Blocked::" " then begin
  Clear(CustomDimensions);
  CustomDimensions.Add('CustomerNo', SalesHeader."Sell-to Customer No.");
  CustomDimensions.Add('BlockedReason', Format(Customer.Blocked));
  BCStelemetry.LogWarning('BCS-SALESW001', 'Order validation failed: Customer blocked', CustomDimensions);
  Error('Customer %1 is blocked.', Customer."No.");
end;

Performance Monitoring

StartTime := CurrentDateTime;
ValidateOrder(SalesHeader);
Duration := CurrentDateTime - StartTime;

BCStelemetry.LogPerformanceWarning(
  'BCS-SALESP001', 'ValidateOrder', Duration, 1000, CustomDimensions);

Feature Usage

BCStelemetry.LogFeatureUsage(
  'BCS-FEAT001', 'Discounts', 'Line Discount Applied', CustomDimensions);

Step 6: Build and Validate

  • Run al_build to verify compilation
  • Check @problems for errors
  • Verify no sensitive data is logged

Event ID Convention

PatternMeaningExample
PREFIX-AREA###InformationalBCS-SALES001
PREFIX-AREAE###ErrorBCS-SALESE001
PREFIX-AREAW###WarningBCS-SALESW001
PREFIX-AREAP###PerformanceBCS-SALESP001
PREFIX-FEAT###Feature usageBCS-FEAT001
  • Keep the AREA tag short (4-8 chars)
  • Number sequentially within a category
  • Maintain an event ID registry comment at the top of the telemetry codeunit

DataClassification Rules

Data TypeClassificationExamples
Technical metricsSystemMetadataDuration, counts, operation name
Business identifiersCustomerContentOrder No., Customer No., amounts
User referencesEndUserIdentifiableInformationUser ID (anonymize!)
Sensitive dataNEVER LOGPasswords, API keys, credit cards

Best Practices

  1. Don't over-log — log entry/exit of key operations, not every line
  2. Use consistent event IDs — prefix + area + sequential number
  3. Include helpful dimensions — enough to diagnose issues, not everything
  4. Clear dimensions before reuse — call Clear(CustomDimensions) between events
  5. Log at appropriate verbosity — Normal for info, Warning for degraded paths, Error for failures
  6. Always use TelemetryScope::ExtensionPublisher — routes to your Application Insights
  7. Keep dimension values short — Application Insights truncates at ~8 KB per event
  8. Never log PII — anonymize user IDs, never log passwords or tokens
  9. Add duration to completion events — essential for performance analysis
  10. Leave telemetry helper body empty for feature usage — just add dimensions and call helper

Advanced Patterns

  • Telemetry wrapper codeunit: See references/telemetry-reference.md
  • Contextual telemetry (environment, version): See references/telemetry-reference.md
  • KQL queries for Application Insights: See references/kql-queries.md

External References

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