Agent skill · operations · onewave-ai
workflow-automator
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.
Why this skill is useful
Adds a structured approach to automating workflows with specific documentation and analysis frameworks that the AI wouldn't reliably generate on its own.
What it needs
About 2k tokens when loaded. Last updated 2026-07-15. 242 stars on the source repository.
What this skill does
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. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills onewave-ai/workflow-automator