Agent skill · Documentation

zapier-make-patterns

No-code automation democratizes workflow building. Zapier and Make (formerly Integromat) let non-developers automate business processes without writing code. But no-code doesn't mean no-complexity - these platforms have their own patterns, pitfalls, and breaking points.

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claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill zapier-make-patterns --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 21 KB
Bundled scripts: none
Path: skills/zapier-make-patterns/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

Review
written from the skill's own SKILL.md · Aug 5, 2026

What it does

Guides users on choosing between Zapier and Make for no-code automations, outlining platform strengths, patterns, and best practices. Provides concrete patterns like Basic Trigger-Action, Multi-Step Sequential, Conditional Branching, Data Transformation, Error Handling, Batch Processing, Scheduled Automation, and notices about sharp edges (dropdown ID issues) and auto-disabling at 95% error rate. Emphasizes starting simple, testing with real data, documenting automations, monitoring errors, and knowing when to graduate to code-based solutions.

How it works

Describes concrete automation patterns with labeled sections and examples for Zapier and Make:

  • Basic Trigger-Action: single trigger to one or more actions with examples (Gmail → Todoist, Gmail → Todoist), including best practices.
  • Multi-Step Sequential: trigger followed by multiple actions, data passing between steps, and examples (Typeform → HubSpot → Slack → Gmail) with data references like {{Typeform Email}}.
  • Conditional Branching: branching based on conditions, with Zapier Paths or Make Router examples, and guidance to include fallbacks.
  • Data Transformation: how to transform data using Zapier Formatter and Make functions, with examples of text, dates, numbers, and mappings.
  • Error Handling: strategies for handling failures in Zapier (retry, error handler steps) and Make (visual error handling with break/rollback/commit/ignore), plus best practices.
  • Batch Processing: handling multiple items efficiently via Zapier looping and Make iterators, with guidance on task counts and aggregators.
  • Scheduled Automation: time-based triggers for daily/periodic tasks with examples for Zapier Schedule Trigger and Make scheduled scenarios, plus timezone handling.
  • Sharp Edges: notes on avoiding typing into dropdowns and preferring ID values via lookups, with Zapier and Make remedies.
  • Auto-Disable at 95%: explains why Zaps auto-disable at high error rates and how to prevent/recover.
  • Loops and App Updates: discusses high task usage and updates breaking existing Zaps, with recommended fixes and prevention.
  • Authentication Tokens: outlines token expiry issues and recovery steps, plus prevention.

When to use it

Contains explicit guidance on when to use Zapier vs Make based on simplicity, app coverage, visual branching, and cost considerations. Also indicates when to graduate to code-based solutions, and warns about error rates and data quality.

What it can touch

Covers platforms and tools: Zapier, Make (Integromat), and Make’s terminology; mentions test data and sample workflows. Tools referenced include Zapier, Make, HubSpot, Slack, Gmail, Typeform, Among others. The skill lists platforms and modules but does not provide executable code here.

Caveats

Highlights critical risk level and potential pitfalls: 95% error-rate auto-disable behavior in Zapier, the need for error handling, proper data validation, and awareness of API changes and token expiry. Also notes on cost considerations for loops and operations, and advice to monitor task history and implement fallbacks.

From the SKILL.md

# Zapier & Make Patterns No-code automation democratizes workflow building. Zapier and Make (formerly Integromat) let non-developers automate business processes without writing code. But no-code doesn't mean no-complexity - these platforms have their own patterns, pitfalls, and breaking points. This skill covers when to use which platform, how to build reliable automations, and when to graduate to code-based solutions. Key insight: Zapier optimizes for simplicity and integrations (7000+ apps), Make optimizes for power and cost-efficiency (visual branching, operations-based pricing). Critical distinction: No-code works until it doesn't. Know the limits. ## Principles - Start simple, add complexity only when needed - Test with real data before going live - Document every automation with clear naming - Monitor errors - 95% error rate auto-disables Zaps - Know when to graduate to code-based solutions - Operations/tasks cost money - design efficiently ## Capabilities - zapier - make - integromat - no-code-automation - zaps - scenarios - workflow-builders - business-process-automation ## Scope - code-based-workflows → workflow-automation - browser-automation → browser-automation - custom

What's inside
Steps it walks through
  1. Principles
  2. Capabilities
  3. Scope
  4. Tooling
  5. Platforms
  6. Aifeatures
  7. Patterns
  8. Basic Trigger-Action Pattern
  9. Zapier Example
  10. Make Example
  11. Best Practices:
  12. Multi-Step Sequential Pattern
  13. Zapier Multi-Step Zap
  14. Make Scenario
More from agentic-awesome-skills
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About this skill
What does the zapier-make-patterns skill do?

No-code automation democratizes workflow building. Zapier and Make (formerly Integromat) let non-developers automate business processes without writing code. But no-code doesn't mean no-complexity - these platforms have their own patterns, pitfalls, and breaking points.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill zapier-make-patterns --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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