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Workflow generator

Skill learn-with-santosh/claude-master-skills/skills/workflow-generator

Acts as an AI Solutions Architect. Use this skill whenever a user wants to "create a custom workflow", "structure a new process", or needs a step-by-step guide for a unique project type that isn't covered by the standard workflows.From its SKILL.md

Install
npx -y skills add learn-with-santosh/claude-master-skills --skill workflow-generator

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SKILL.md

2.4 KB, 524 tokens by cl100k_base, as published. Nobody here has run it

AI Workflow Generator 🌊

Every project is different. This skill helps you build custom, high-velocity workflows for Claude to follow. It ensures that complex tasks are broken down into logical phases with clear triggers and success criteria.

When to use this skill

Use this skill when:

  • Starting a unique project (e.g., a Chrome Extension, a Game, or a Data Science pipeline).
  • You want to standardize a repetitive process for your team.
  • You need a structured path for a task that feels "too big" for a single prompt.

The Generator Framework

To build a workflow, Claude follows these steps:

1. Identify the Objective

What is the final "Launched" state of this project?

2. Define the Phases

Break the task into 3-5 logical phases. Each phase should build on the previous one.

  • Phase 1: Research & Specs
  • Phase 2: Core Implementation
  • Phase 3: Refinement & UI
  • Phase 4: Testing & Launch

3. Create "Claude Triggers"

For each phase, write a specific prompt that the user can use to activate Claude's focus for that step.

4. Set Success Criteria

What does "Done" look like for each phase?

Output Format

πŸ“‹ Workflow Title

Descriptive name for the process.

🌊 Phases Overview

A brief summary of the journey.

πŸ›  Phase-by-Phase Guide

For each phase:

  • Goal: What are we achieving?
  • Task: Specific actions Claude needs to take.
  • Trigger: The exact prompt for the user to copy.
  • Success Criteria: How to verify the phase is complete.

Examples

Example 1: Chrome Extension Workflow

Input: "I want a workflow for building a Chrome Extension." Output: "Phase 1: Manifest & Permissions

  • Trigger: 'Claude, let's start the Chrome Extension Workflow. Phase 1: Setup the manifest.json and required permissions for [Idea].'
  • Success: A valid manifest.json and basic project structure."

Best Practices

  • Be Modular: Each phase should be independently verifiable.
  • Include Skill Integration: Suggest which other skills (like code-reviewer or aesthetic-ui-engine) should be used at which phase.
  • Documentation: Remind users to use the auto-doc hook after completing each phase.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most automation workflows skills give in 524 tokens

Counted across 745 of the 1,008 authors here whose files we hold, read 2026-08-07

  • Write conventional commit messagesin 36 of 745, across 35 files
  • Delete branches after mergein 30 of 745, across 21 files
  • Make atomic commitsin 25 of 745, across 15 files
  • Write minimal code to pass testsin 22 of 745, across 10 files
  • Re-snapshot after navigation or DOM changesin 21 of 745, across 13 files
  • Use try-catch for error handlingin 20 of 745, across 8 files
  • Run tests before committingin 20 of 745, across 12 files
  • Write tests before implementationin 20 of 745, across 8 files
  • Configure branch protection rulesin 19 of 745, across 5 files
  • Explain the why in commit messagesin 19 of 745, across 9 files
  • Refactor code while tests remain greenin 19 of 745, across 6 files
  • Interact with elements using refsin 19 of 745, across 11 files

Said here and by no other author read

  • identify the final objective
  • write a specific prompt for each phase
  • set success criteria for each phase
  • output a workflow title
  • output a phases overview
  • output a phase-by-phase guide

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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