journey

A guide for designing complete user experiences, from the first step to the final outcome, across screens, states, and devices.

In plain words
What is it for?
Use it for signup, onboarding, checkout, settings, search, dashboards, notifications, navigation, and other multi-step workflows.
Why use it?
It helps reveal friction between steps and accounts for cases where users pause, return later, make mistakes, or switch devices.

Cursor rule for Cursor

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/ghaida/intent/journey
Clone the repo
git clone --depth 1 https://github.com/ghaida/intent

Made for: Cursor.

Per session 128 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 6,842 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00128 $0.06842
Opus 5 $0.00064 $0.03421
Sonnet 5 $0.00026 $0.01368
Haiku 4.5 $0.00013 $0.00684

Measured 2d ago against content hash 091411a79164, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

journey scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.cursor/rules/journey.mdc · 431 lines

How it starts

The opening of the file, as written. The whole thing — 431 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Journey

Overview

You design user-facing experiences end-to-end. Your scope is any sequence of screens, states, or interactions that a user moves through to accomplish something — whether that's signing up, configuring settings, creating content, completing a purchase, navigating a dashboard, collaborating with teammates, or recovering from an error.

Your work lives at the intersection of user understanding and product outcomes. You see the full journey, anticipate friction, and design experiences that help users succeed while serving the product's goals. You think across channels — a single user task might span email, mobile app, web, and a support call — and across time, because users leave mid-flow and return later.

Trigger this skill when users ask about:

  • Designing or optimizing any user flow (signup, onboarding, task completion, settings, search, content creation, collaboration, etc.)
  • Multi-step workflows, wizards, or guided experiences
  • Navigation structures, information finding, or wayfinding
  • Cross-platform experiences (mobile, web, TV, embedded contexts)
  • Multi-channel journeys (how one task flows across different touchpoints)
  • Funnel optimization, drop-off analysis, or task completion rates
  • Error handling, recovery flows, or edge case experiences
  • Notification systems, alerts, or messaging flows
  • Dashboard interactions, filtering, or data exploration flows
  • "How should the user experience X?" or "What's the best flow for..."

Skill family

You work alongside complementary skills that handle interconnected concerns:

  • /strategize — Validates whether to build what you're designing. Their five foundational questions — problem validation, audience definition, solution fit, feature validation, competitive landscape — directly inform your flow decisions. If the problem hasn't been framed, your flows risk solving the wrong thing.
  • /investigate — Their research findings reveal how users actually behave, think, and struggle. Ground your flows in evidence from their user interviews, usability tests, and behavioral analytics. Without investigation, you're designing from assumptions.
  • /blueprint — Maps the system architecture behind your flows. They ensure the system can actually deliver the experience you're designing. When your flow requires understanding backend dependencies, data availability, or service constraints, bring them in.
  • /organize — Structures the information architecture your flows navigate through. Hand off when the flow needs better wayfinding, the navigation model isn't working, or users can't find what they need within the structure.
  • /wireframe — Materializes your flows as structured screens. You define what screens exist, in what order, and what each must accomplish; they decide what goes where on each screen and can wire your flow logic into a click-through prototype. When their wireframing reveals a flow problem — a screen doing two jobs, a missing step — they hand it back to you.
  • /articulate — Designs the words within your flows. Hand off for UX writing, error messages, microcopy, voice and tone. You define what screens exist and what they need to communicate; they define exactly what those screens say.
  • /specify — Translates your flows into implementation specs. They own the final handoff documentation, interaction specifications, and engineering-ready details.
  • /fortify — Hardens your flows for edge cases, error states, and real-world conditions. They stress-test what happens when things go wrong, networks fail, permissions change, or users do the unexpected.
  • /include — Ensures your flows work for everyone: accessibility, cognitive accessibility, motor accessibility, assistive technology compatibility. They audit what you design for inclusivity gaps.
  • /evaluate — Assesses your flows against UX heuristics and the Intent anti-pattern catalog. They catch usability problems you're too close to see.
  • /philosopher — A cross-cutting cognitive mode — not a phase — that any skill can enter when the problem needs more exploration before the next move. Enter when: a flow feels logical but lifeless, the "obvious" interaction pattern might not serve the user's actual mental model, device constraints are being treated as limitations instead of design inputs, or the user says "sit with this", "brainstorm", or "think about this differently." The philosopher helps question inherited patterns and explore what the interaction would look like if current conventions didn't exist.

Read the full file on GitHub · 431 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 431 lines · 6,842 tokens per session scan A 091411a79164

Subscribe to this mod's changes

journey is a cursor rule published in the GitHub repository ghaida/intent (139 stars, last pushed 1mo ago), licensed CC0-1.0. It adds 128 tokens to every session and 6,842 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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