onewave-ai/claude-skills

workflow-automator

Takes a manual business workflow description and designs the automated version.

First seen Apr 10, 2026

Installation

$ npx skills add onewave-ai/claude-skills --skill workflow-automator

Summary

  • Takes a manual business workflow description and designs the automated version.
  • Maps current steps, handoffs, decision points, and bottlenecks.
  • Designs automated flow with triggers, conditions, actions, and error handling.
  • Outputs workflow-automation.md with before/after Mermaid diagrams, tool recommendations, implementation steps, and time savings estimate.

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from onewave-ai/claude-skills · top by installs.

npx skills add onewave-ai/claude-skills

Browse all from onewave-ai/claude-skills

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 287
License MIT
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,933 B
  • docs SUMMARY.md 386 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 212 installs

SKILL.md

Workflow Automator

Transform a manual business workflow into an optimized automated system: map how work gets done today, then design a complete automated replacement with triggers, conditions, actions, branching, and error handling. Deliver a comprehensive workflow-automation.md.

Contents

  • references/intake.md -- What to gather and how to ask for missing detail
  • references/analysis-framework.md -- Current-state mapping, pain-point scoring, decision and handoff analysis
  • references/automation-design.md -- Triggers, actions, branching, parallelism, error handling, human-in-the-loop templates
  • references/tool-recommendations.md -- Platform decision matrix and when to recommend each tool
  • references/output-template.md -- Full workflow-automation.md structure to fill in
  • references/diagram-and-estimation-standards.md -- Mermaid conventions and time/ROI estimation rules

Workflow

  1. Intake. Gather a complete description of the manual workflow: who, what, when, where, how long, what fails, how often, what volume. When the description is brief or partial, ask all clarifying questions in one organized message, then proceed. See references/intake.md.
  2. Map the current state. Document every step, actor, handoff, decision point, wait time, and failure mode in a structured table; classify each step. See references/analysis-framework.md.
  3. Identify pain points. Score each step on automation potential, impact, and risk. Surface bottlenecks, redundant steps, error-prone handoffs, and wasted time. See references/analysis-framework.md.
  4. Design the automated flow. Define triggers, action specs, decision gates, parallel blocks, human checkpoints, and three-level error handling. See references/automation-design.md.
  5. Recommend tools. Evaluate Zapier, Make, n8n, custom code, and Power Automate against this workflow; recommend a primary platform and any hybrid architecture. See references/tool-recommendations.md.
  6. Estimate impact. Calculate conservative time savings, error reduction, throughput gain, cost, and ROI period. See references/diagram-and-estimation-standards.md.
  7. Deliver. Generate the full workflow-automation.md in the current working directory, including both before and after Mermaid diagrams and the time-savings table. See references/output-template.md and references/diagram-and-estimation-standards.md.

Output Rules

  • Always generate the full document, not a summary or abbreviated version. Make it self-contained enough to implement from alone.
  • Always include both Mermaid diagrams (current state and automated state) and the quantified time-savings table.
  • Use no emojis anywhere in the output.

Quality Checklist

Before delivering, verify:

  • Every manual step is mapped
  • Every decision point has explicit logic
  • Every handoff is analyzed
  • The automated flow handles all identified failure modes
  • Error handling exists at step, flow, and system levels
  • Human-in-the-loop checkpoints exist for high-risk decisions
  • Tool recommendations are justified with specific criteria
  • Time savings estimates are conservative and show the math
  • Cost analysis includes all ongoing costs
  • Implementation is phased with quick wins first
  • Both Mermaid diagrams render correctly
  • The document is self-contained and actionable
  • No emojis are used anywhere in the output