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.
npx agentmods add skills/ghaida/intent/journeynpx skills add ghaida/intent --skill journeygit clone --depth 1 https://github.com/ghaida/intentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ghaida/intent/journey)<a href="https://agentmods.dev/skills/ghaida/intent/journey"><img src="https://agentmods.dev/badge/skills/ghaida/intent/journey.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00131 | $0.06869 |
| Opus 5 | $0.00066 | $0.03435 |
| Sonnet 5 | $0.00026 | $0.01374 |
| Haiku 4.5 | $0.00013 | $0.00687 |
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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 441 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.
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.
- 3d ago First seen · 441 lines · 131 tokens per session scan A f51fc30c4bc7
journey is a skill published in the GitHub repository ghaida/intent (142 stars, last pushed 1mo ago), licensed CC0-1.0. It adds 131 tokens to every session and 6,869 once invoked, about $0.0007 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.
Other skills, from other repositories
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brainstorming
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auto-perf-optimize
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chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…