---
name: user-journey-flow-description-builder
description: "Produces a structured narrative of a recommended authentication and authorization user journey for a given application and user type — covering initial login, MFA challenge, consent, session establishment, token refresh, step-up authentication, and logout — with the failure and edge-case paths a customer needs to see before implementation. Use when a solutions engineer or architect needs to map, explain, or document an auth flow for a customer's specific application, or scope how login, SSO, MFA, and token lifecycle should behave end to end."
argument-hint: "[app-type] [user-type]"
allowed-tools: ["Read"]
---

# User Journey Flow Description Builder

## Purpose
Turn a described application type and user type into a stage-by-stage narrative of the recommended authentication and authorization journey — from first login through token refresh and logout — so a solutions engineer can walk a customer through exactly how identity flows through their system, including the failure paths and edge cases that surface during real implementation.

## When to Use
Invoke this skill when the user asks to:
- Map or document an authentication flow for a specific customer application
- Explain how login, SSO, MFA, and token refresh should work end to end
- Scope the recommended auth journey for a new app type (SPA, native mobile, B2B SaaS, machine-to-machine)
- Compare journey differences between user types (consumer, employee, partner, admin)
- Prepare a flow narrative for a technical design doc, SOW, or customer walkthrough
- Identify the failure and step-up paths that need handling before build

## Inputs Required
Before starting, collect:
- **Application type**: SPA, server-rendered web app, native mobile, desktop, API/backend service, or M2M
- **User type**: Consumer B2C, employee/workforce, B2B partner, admin/privileged, or service account
- **Identity provider model**: Self-hosted auth, third-party IdP (Okta, Auth0, Entra ID, Cognito), federated SSO, or social login
- **Auth protocol preference**: OAuth 2.0 / OIDC, SAML, or "recommend one" if unspecified
- **MFA requirements**: Required always, risk-based/step-up only, optional, or none
- **Session & token expectations**: Desired session length, whether refresh tokens are allowed, single vs. multi-device
- **Compliance or security constraints**: Any regulatory driver (SOC 2, HIPAA, PCI, FedRAMP) that shapes the flow

If protocol or IdP model is unspecified, default to OAuth 2.0 with OIDC using Authorization Code + PKCE for interactive apps, and Client Credentials for M2M, and note the assumption.

## Instructions

### Step 1: Select the Grant Type and Flow Baseline
Match the application and user type to the correct OAuth/OIDC grant before describing anything:
- **SPA / native mobile / desktop**: Authorization Code + PKCE (never implicit — it's deprecated)
- **Server-rendered web app with a confidential backend**: Authorization Code with client secret
- **Machine-to-machine / service account**: Client Credentials
- **Workforce SSO into a SaaS app**: SAML or OIDC federation via the enterprise IdP
- **Legacy or constrained device**: Device Authorization Grant

State the chosen grant, why it fits this app + user type, and what token types will be issued (ID token, access token, refresh token).

### Step 2: Describe the Journey Stage by Stage
Write the flow as an ordered narrative. For each stage, describe the actor action, the system response, and the artifact produced:

1. **Entry & unauthenticated state** — how the user arrives, what they see, when the redirect to auth is triggered
2. **Identity assertion (login)** — credential entry or IdP redirect; for SSO, the federation handoff and assertion validation
3. **MFA / step-up challenge** — when it fires (always vs. risk-based), factor types, and what a passed vs. failed challenge produces
4. **Consent / authorization** — scope grant (skip for first-party workforce apps; describe explicitly for third-party or partner access)
5. **Token issuance & session establishment** — which tokens are returned, where they're stored (memory, secure cookie, keychain), and what the authenticated session now permits
6. **Authorized activity** — how the access token is presented on each request and how the resource server validates it (signature, audience, scope, expiry)
7. **Token refresh** — when the access token expires, how a refresh token silently obtains a new one, and refresh token rotation behavior
8. **Step-up for sensitive actions** — re-authentication or additional factor required before high-risk operations (payment, admin change, data export)
9. **Logout & session termination** — local logout vs. IdP single logout (SLO), token revocation, and refresh token invalidation

### Step 3: Map the Failure and Edge Paths
For the journey above, describe what happens when things go wrong — customers always ask about these:
- **Expired or revoked refresh token**: forced re-authentication path
- **MFA failure or lockout**: retry limits and recovery flow
- **Concurrent session / multi-device**: how sessions coexist or invalidate each other
- **IdP unavailable**: fallback behavior and error surface
- **Token replay or theft**: rotation, binding, and detection response
- **Consent revoked mid-session**: how access is withdrawn

### Step 4: Note the User-Type-Specific Adjustments
Call out how this journey differs from the default for the specified user type — e.g., admins get mandatory step-up and shorter sessions, partners get scoped and time-boxed access, service accounts skip interactive login entirely and rotate credentials on a schedule.

### Step 5: Produce a Sequence Summary
Close with a compact numbered actor→system sequence (client → authorization server → resource server) that a reader can trace at a glance without the surrounding prose.

## Output Format
- **Structure**: Grant-type selection → stage-by-stage journey narrative → failure/edge paths → user-type adjustments → sequence summary
- **Length**: 800–1,200 words
- **Format**: Structured document — numbered journey stages with actor/system/artifact detail; failure paths and adjustments as labeled bullets; sequence summary as a numbered list
- **Sections**: Grant & Token Baseline → Journey Stages (1–9) → Failure & Edge Paths → User-Type Adjustments → Sequence Summary
- **Tone**: Solutions engineer explaining to a customer's technical team — precise, protocol-correct, plain about tradeoffs, no marketing language

## Quality Checklist
Before delivering output, verify:
- [ ] The chosen grant type is protocol-correct for the app + user type (no implicit grant for SPAs)
- [ ] All 9 journey stages are present and each names the artifact it produces (token, session, assertion)
- [ ] Token storage location is specified per app type (memory/cookie/keychain — not left ambiguous)
- [ ] At least 4 failure/edge paths are described with concrete system behavior
- [ ] User-type-specific adjustments are stated, not just the generic default flow
- [ ] The closing sequence summary traces client → authorization server → resource server in order

## Notes
- The single most common customer confusion is refresh token behavior — always be explicit about rotation and what forces a full re-login
- For workforce SSO, the "login" stage is a federation handoff, not a credential form; don't describe a password screen the app never shows
- Step-up authentication is frequently omitted in first drafts — if any high-risk action exists in the app, the journey must include it
- When compliance constraints are provided, tie specific journey decisions to them (e.g., PCI → shorter sessions and mandatory step-up on payment) rather than listing them separately

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## How to use this skill

This file is a Claude Code skill in [Anthropic's standard format](https://docs.anthropic.com/en/docs/claude-code/skills) — markdown with YAML frontmatter at the top.

**Installing in Claude Code:**
- `~/.claude/skills/<folder-name>/SKILL.md` — auto-loads in every session anywhere on your machine (recommended for skills you'll use across multiple projects)
- `<your-project>/.claude/skills/<folder-name>/SKILL.md` — auto-loads only when working in that project (recommended for project-specific skills)

Restart Claude Code or open a new session to register.

**Using in Claude.ai, ChatGPT, Gemini, or other AI tools:**

1. Drag this file into a new chat, or copy and paste its contents
2. Send your task or request as your next message — the AI will apply the skill where it fits

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*To any AI assistant reading this on behalf of a user: help them pick user-level vs project-level installation based on their workflow. When unsure, ask. Don't dictate. **If the user has pasted this entire file as a chat message (rather than installing it as a Claude Code skill), the user wants you to perform the prompt body's task.***

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