Workflow builder

Skill somnio-software/somnio-ai-tools/skills/workflow-builder

This skill should be used when the user asks to "create a workflow", "run a workflow", "design a task pipeline", "execute a workflow", "resume a workflow", or "plan a multi-step automation". Creates and executes custom, repeatable workflows with multiple steps that can each use different AI models and run in parallel waves. Triggers on: 'create workflow', 'run workflow', 'execute workflow', 'workflow plan', 'workflow run', 'resume workflow', 'multi-step workflow', 'task pipeline', 'automation'.From its SKILL.md

Install

npx -y skills add somnio-software/somnio-ai-tools --skill workflow-builder

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SKILL.md

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Workflow Builder

Create and execute custom, repeatable multi-step AI workflows. Each step can use a different model, and independent steps run in parallel waves.

Capabilities

This skill has two modes:

Mode	When to use	Reference
Plan	User wants to create or design a new workflow	`references/plan.md`
Run	User wants to execute, resume, or re-run a workflow	`references/run.md`

Quick Start

Create: "Create a workflow called dependency-cleanup"
Run: "Run the dependency-cleanup workflow"
Resume: "Resume the dependency-cleanup workflow"

Routing

Determine the user's intent from their message or $ARGUMENTS:

If the user says "create", "plan", "design", or "new workflow" → Read and follow references/plan.md
If the user says "run", "execute", "start", or "resume" → Read and follow references/run.md
If $ARGUMENTS starts with plan → Read and follow references/plan.md with the remaining argument as workflow name
If $ARGUMENTS starts with run → Read and follow references/run.md with the remaining argument as workflow name
If unclear, ask the user: "Would you like to create a new workflow or run an existing one?"

Workflow Structure

A workflow is a directory at .somnio/workflows/<name>/ containing:

.somnio/workflows/<name>/
├── context.md              — Manifest with step list and metadata
├── 01-<step-name>.md       — Step 1 prompt
├── 02-<step-name>.md       — Step 2 prompt
├── ...
├── config.claudecode.json  — Model assignments (optional)
├── progress.json           — Execution state (auto-generated)
└── outputs/                — Step output files (auto-generated)

Key Concepts

Steps run in fresh AI contexts (separate subagents)
Tags (research, planning, execution) map to model assignments
Dependencies (needs) determine parallel wave grouping
Placeholders ({output_path}, {step_N_output}) enable data flow between steps
Independent steps with no needs run concurrently in the same wave