Client Workflows

Client Intake and Qualification Manager

Design client-intake and qualification with forms, fit, scope, budget, timing, risk, routing, discovery, rejection, and CRM records.

Last updated Jul 12, 2026
FreeClaudeChatGPT
TL;DR

Client Intake and Qualification Manager is a free AI skill for client workflows. Design client-intake and qualification with forms, fit, scope, budget, timing, risk, routing, discovery, rejection, and CRM records. It works with Claude, ChatGPT and is ready to use out of the box.

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About this skill

Design client-intake and qualification with forms, fit, scope, budget, timing, risk, routing, discovery, rejection, and CRM records. It uses a structured workflow, labels assumptions, and produces implementation-ready guidance with ownership, controls, edge cases, and validation.

What it does

The skill analyzes goals, users, evidence, workflows, dependencies, constraints, and risks; converts them into a practical operating model; and produces explicit rules, responsibilities, exceptions, controls, tests, and rollout guidance.

What is included

  • Intake context
  • Ideal-client and project fit
  • Intake form
  • Qualification criteria
  • Scoring and routing
  • Discovery handoff
  • Risk and red flags
  • Acceptance and rejection

How to use it

1. Download the client-intake-and-qualification-manager-SKILL.md file
2. Upload it to your AI, operational, or project workspace
3. Provide the current process, users, goals, evidence, and constraints
4. Add ownership, approval, risk, and implementation requirements
5. Use the output for design, review, testing, or rollout

Examples

Example input
Create an intake process for consulting, website, automation, and AI projects with different budgets, timelines, and technical complexity.
Example output
A complete professional deliverable with context, decisions, ownership, workflows, edge cases, risks, controls, validation criteria, and an implementation roadmap.

FAQ

What is this skill for?
It creates a professional client intake and qualification manager deliverable.
Will it invent facts or results?
No. Missing evidence, assumptions, and unknowns are labeled clearly.
Can it improve an existing process?
Yes. It can audit the current process before redesigning it.
Does it include edge cases?
Yes. Exceptions, failures, escalation, and fallback behavior are included.
Can it assign ownership?
Yes. Roles, decision rights, and handoffs are made explicit.
How is this different from generic advice?
It produces a structured, testable, implementation-ready system.

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