pipefy/ai-toolkit

pipefy-process-design

Use this skill ONLY when the user explicitly asks for help designing or architecting a process ("help me design", "what's the best structure", "how do I organize this flow?").

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Pipefy Process Design

This skill activates when the user wants consulting help to design a process — not when they want you to build one. If the user already knows what they want (gave you phases, fields, a spec, or a clear use case), do not use this skill. Execute directly.


When to use vs when to execute

SignalResponse
"Help me design a process for X"Use this skill — consulting mode.
"What's the best structure for Y?"Use this skill — architecture guidance.
"Create a pipe for X"Skip this skill — route via pipefy-building, then the domain skill.
User provides phases, fields, or a specSkip this skill — the spec IS the plan. Route via pipefy-building, then build.

Prerequisites

  • Understand the user's industry and use case before advising structure.
  • Always search for existing pipes in the org before recommending a new one (search_pipes).

Discovery phase

  1. Research existing org structure:

MCP: search_pipes name="" (empty search returns all visible pipes) MCP: get_organization organization_id=<id>

  1. Understand the process intent:
  • What triggers a new case? (form submission, email, manual)
  • Who are the actors? (submitter, approver, ops team)
  • What are the key decision points? (approve/reject, escalate, auto-close)
  • What data needs to be tracked? (fields per phase)
  • Are there related processes that should be connected? (use relations)
  1. Identify the right Pipefy components:
NeedComponent
Workflow stagesPipe + Phases
Structured data per stagePhase fields
Reference/lookup dataDatabase table
Cross-process linkagePipe relation
Automatic actionsAutomation rule
AI-driven processingAI automation or AI agent

Design principles

  • Start with the outcome. What does "done" look like for this process?
  • Name phases for states, not actions. "Under Review" not "Review It".
  • Keep the start form minimal. Only ask for data the requester can provide on day 1.
  • Use required fields sparingly. Every required field is a blocker.
  • Design for the exception. Add a "Blocked" or "On Hold" phase for edge cases.
  • Automate the obvious. If a transition always happens under the same condition, it should be an automation, not a manual step.

Common patterns

Linear approval flow

Submission → Under Review → Approved / Rejected → Done

  • Start form: requester fills details.
  • "Under Review" phase: approver field + due date.
  • Automation: notify approver on card creation.

Multi-stage pipeline

Intake → Triage → In Progress → Testing → Deployed

  • Each phase has role-specific fields.
  • Automations advance cards on condition.
  • SLA fields track time-in-phase.

Hub-and-spoke (related processes)

  • Central "intake" pipe connected via pipe relation to domain-specific pipes.
  • Child cards created automatically via automation when parent moves to "Escalated".

Output format

After the design consultation, produce a concise summary:

Process: <Name>
Phases: [list]
Start form fields: [list with types]
Key automations: [list]
Related processes: [list or "none"]
Next step: [execute with pipes-and-cards skill? or more questions?]

Success criteria

  • User has clarity on phases, fields, and automation triggers before execution starts.
  • No duplicate pipes created (checked via search_pipes).
  • The design is buildable with available MCP tools (no features promised that don't exist).

See also

  • pipefy-building — for execution / build asks, read the router then the domain skill (do not expand this consulting skill into a build playbook).
  • skills/pipes-and-cards/ — execute the design once finalized.
  • skills/automations/ — add automation rules to the new pipe.
  • skills/process-intelligence/ — analyze an existing process for improvement (distinct from designing new).
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