workflow-automator
Takes a manual business workflow description and designs the automated version.
Skill by OneWave-AI
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/onewave-ai-workflow-automator
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: productivity
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/workflow-automator
What's inside
- Skill name
workflow-automator- Description
- 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.
- License
- MIT
- Instructions
- 48 lines in SKILL.md · view on GitHub
Files (7)
- SKILL.md
- analysis-framework.md · references/
- automation-design.md · references/
- diagram-and-estimation-standards.md · references/
- intake.md · references/
- output-template.md · references/
- tool-recommendations.md · references/
SKILL.md (first lines)
# 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
From OneWave-AI/claude-skills, MIT.
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Signals
- Stars
- 373
- Forks
- 60
- Open issues
- 1
- Last commit (this folder)
- Jun 8, 2026 (4 months ago)
- Last release
- Jun 8, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/OneWave-AI/claude-skills
- Website
- www.onewave-ai.com
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
workflow-automator skill. Agent Mart. https://agentmart.dev/skills/onewave-ai-workflow-automator (last updated 2026-10-24)