/cs-workflow-build

disable-model-invocation: true
name: "cs-workflow-build"
description: "/cs-workflow-build <task-description> — Design and write a deterministic Claude Code workflow (.js). Opens with intake questions, infers-and-proposes a topology when the request is vague, then scaffolds + validates the file. Use when building or running a custom Claude Code workflow."

/cs-workflow-build — Workflow Architect Intake

**Command:** `/cs-workflow-build <task-description>`

Designs a deterministic multi-agent workflow for Claude Code's Workflow tool. Always opens with intake; never writes a file before the topology is confirmed.

When to Run

• Building a new `.claude/workflows/*.js` file
• Automating a repeatable, multi-step task across fresh-context sub-agents
• Deciding whether a task even warrants a workflow (vs. a single agent or a skill)

Step 1 — Intake (always first)

Ask the opening question set. Lead with #1.

1. What repeatable, multi-step task do you want to automate? 2. What is the one unit of work a single sub-agent does once? 3. How many units — a known list, or discovered by looping? 4. Do later steps need *all* prior results at once, or can each item flow on its own? 5. Does any step need structured data back (a verdict, a list, scores)? 6. Roughly how deep / how many tokens?

Step 2 — If the user is vague, infer and propose (don't loop on questions)

python ${CLAUDE_PLUGIN_ROOT}/skills/workflow-builder/scripts/workflow_intake.py --task "<their request>" \
  --units unknown --stages unknown --needs-all unknown --structured unknown

Present the result as "here's what I'd build and why": recommended topology (+ runner-up), per-stage model picks, a budget guard, and the rationale for each choice. Then ask only "what should I change?"

Step 3 — Confirm the shape, then scaffold

python ${CLAUDE_PLUGIN_ROOT}/skills/workflow-builder/scripts/scaffold_workflow.py \
  --topology <fan-out|pipeline|barrier|loop|judge-panel> --name <name> --description "..." \
  > .claude/workflows/<name>.js

Step 4 — Validate before running

python ${CLAUDE_PLUGIN_ROOT}/skills/workflow-builder/scripts/validate_workflow.py .claude/workflows/<name>.js

Fix every FAIL. WARNs need a one-line justification.

Step 5 — Run

export CLAUDE_CODE_WORKFLOWS=1   # the feature is off by default
# Save under .claude/workflows/, then launch + monitor via /workflows.
# P = pause/resume, X = skip a sub-agent. Failed agents retry automatically.

The Hard Rules (validator enforces)

1. `meta` is a pure literal and the first statement — no variables, spreads, template strings, or calls. 2. No `Date.now()`, `Math.random()`, or argless `new Date()` — they break resume. 3. No filesystem / Node APIs in the orchestrator — that work goes inside `agent()`. 4. `parallel()` takes thunks (`() => agent(...)`); default to `pipeline()` unless a stage needs the whole prior set. 5. Guard every open-ended loop with a counter or `budget.remaining()`. 6. `results.filter(Boolean)` before using parallel/pipeline output.

Output Format

# Workflow Build: <name>
## The Decision
[intake | recommend | scaffold | validate | run]
## Recommended Topology
[fan-out | pipeline | barrier | loop | judge-panel] — why
## Model Plan
[per-stage model + reason]
## Validator Verdict
🟢 PASS | 🟡 WARN (justified) | 🔴 FAIL (with line numbers)
## Next Steps
[3 concrete actions]

Related

• Agent: [`cs-workflow-architect`](../agents/cs-workflow-architect.md)
• Skill: [`workflow-builder`](../skills/workflow-builder/SKILL.md)
• Adjacent: `/cs-write-a-skill` (authoring skills, not workflows)

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**Version:** 1.0.0