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?"). For direct execution requests ("create a pipe for X", "build a reimbursement process", or any message with a detailed spec), skip this skill and execute directly using the domain skills (pipes-and-cards, automations, etc.).
How do I install this agent skill?
npx skills add https://github.com/pipefy/ai-toolkit --skill pipefy-process-designIs this agent skill safe to install?
- Gen Agent Trust Hubpass
This skill serves as a design consultant for Pipefy processes, offering structural recommendations and discovery steps using internal tools. It contains no executable code or external connections, and all operations are within the vendor's intended functionality.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
What does this agent skill do?
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
| Signal | Response |
|---|---|
| "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 spec | Skip 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
-
Research existing org structure:
MCP:
search_pipes name=""(empty search returns all visible pipes) MCP:get_organization organization_id=<id> -
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)
-
Identify the right Pipefy components:
Need Component Workflow stages Pipe + Phases Structured data per stage Phase fields Reference/lookup data Database table Cross-process linkage Pipe relation Automatic actions Automation rule AI-driven processing AI 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).
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/pipefy/ai-toolkit/pipefy-process-design">View pipefy-process-design on skillZs</a>