gracebotly

make

Mapping guidance for Make.com (Integromat) scenario events. Covers execution metrics, scenario performance, operation counts, and module analytics.

gracebotly 0 1 Updated 6mo ago

Resources

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GitHub

Install

npx skillscat add gracebotly/flowetic-app/make

Install via the SkillsCat registry.

About this skill

We need to produce a 2-3 sentence plain-text summary, objective, factual, no marketing language, no superlatives, no calls to action. Must be at most 60 words. No bullet points, no headings, no markdown. Just plain text. We need to explain what the skill does, what problem it solves, when an agent or developer should use it. From description: Mapping guidance for Make.com scenario events. Covers execution metrics, scenario performance, operation counts, module analytics. It maps execution data into standard event schema, providing fields for dashboards.

SKILL.md

Make Platform Skill

Overview

Make.com (formerly Integromat) is a visual automation platform for connecting apps and automating workflows via scenarios. Users connect Make scenarios to Getflowetic to monitor execution performance, track operation usage, and analyze error patterns.

Vocabulary

  • scenario: A Make automation workflow composed of modules connected in a flow
  • execution: A single run of a scenario, triggered by schedule, webhook, or manual
  • module: A single step/action within a scenario (e.g., HTTP request, Google Sheets row)
  • operation: A billable action counted by Make — modules consume operations per execution
  • blueprint: The JSON definition of a scenario's structure (modules + connections)
  • team: Make organizational unit that owns scenarios and connections

Key Metrics for Dashboards

  • Execution Volume: Total runs over time — trend chart on started_at
  • Success Rate: Percentage of executions with status=success — hero stat
  • Avg Duration: Average execution time in ms — supporting metric card
  • Scenario Breakdown: Runs per scenario — pie chart on scenario_name/workflow_name
  • Error Rate: Failed executions as percentage — hero stat (inverted success)

Event Field Mapping

The Make import route normalizes execution data into the standard event schema. These are the fields that appear in event.state:

Event Field Semantic Type Dashboard Use
workflow_id identifier Maps to scenario_id — count only
workflow_name dimension Maps to scenario name — breakdown charts
execution_id surrogate_key Maps to execution ID — "Total Runs" KPI
status dimension Success rate percentage — hero stat
duration_ms measure (avg) "Avg Duration" metric card
started_at time_dimension Timeseries trend axis
ended_at time_dimension Detail only
platform constant Always "make" — skip

These fields also appear in event.labels:

  • scenario_id, scenario_name, execution_id, status, platformType

Dashboard Templates

  • ops-monitoring: Execution volume trend, success rate, avg duration, scenario breakdown
  • scenario-performance: Per-scenario comparison with execution counts and durations
  • error-tracker: Error trends, failure reasons, scenario-level error rates

Mapping Heuristics (Legacy Aliases)

  • scenario_id → workflow_id
  • scenario_name → workflow_name