make
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总安装量
1
周安装量
#78459
全站排名
安装命令
npx skills add https://github.com/gracebotly/flowetic-app --skill make
Agent 安装分布
amp
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cline
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opencode
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cursor
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continue
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kimi-cli
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Skill 文档
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 â 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 â trend chart on started_at
- Success Rate: Percentage of executions with status=success â hero stat
- Avg Duration: Average execution time in ms â supporting metric card
- Scenario Breakdown: Runs per scenario â pie chart on scenario_name/workflow_name
- Error Rate: Failed executions as percentage â 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 â count only |
| workflow_name | dimension | Maps to scenario name â breakdown charts |
| execution_id | surrogate_key | Maps to execution ID â “Total Runs” KPI |
| status | dimension | Success rate percentage â 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” â 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 â workflow_id
- scenario_name â workflow_name