nw-design-methodology

nw-design-methodology is a skill for Claude Code from nWave-ai/nWave. It costs 37 tokens per session (1,190 once invoked), scanned A, original, MIT.

A design workflow for mapping user journeys, planning how each step should feel, and prototyping terminal interfaces with text-based mock-ups. It also checks that the resulting artifacts fit together.

In plain words
What is it for?
Use it to map journeys, add emotional goals, create terminal UI prototypes, and track shared design artifacts.
Why use it?
It gives teams a structured way to move from understanding a user's flow to a consistent interface design.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Good fit Use it to map journeys, add emotional goals, create terminal UI prototypes, and track shared design artifacts.

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Install with agentmods
npx agentmods add skills/nwave-ai/nwave/nw-design-methodology
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.

Any agent
npx skills add nWave-ai/nWave --skill nw-design-methodology
Clone the repo
git clone --depth 1 https://github.com/nWave-ai/nWave

Made for: Claude Code.

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README.md
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Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,190 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00037 $0.01190
Opus 5 $0.00018 $0.00595
Sonnet 5 $0.00007 $0.00238
Haiku 4.5 $0.00004 $0.00119

Measured 8d ago against content hash 8ebecd812e33, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

nw-design-methodology 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 8d 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.

nWave/skills/nw-design-methodology/SKILL.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Design Methodology (Apple LeanUX++)

Design Workflow

PHASE 1              PHASE 2              PHASE 3              PHASE 4
Journey Mapping      Emotional Design     TUI Prototyping      Integration Check
      |                    |                    |                    |
      v                    v                    v                    v
"What's the flow?"   "How should it feel?"  "What does it look?"  "Does it connect?"

Phase 1: Journey Mapping (1-2 days)

  • Techniques: User journey mapping | goal-completion flow | step identification
  • Question: "What complete journey is the user trying to accomplish?"
  • Output: Journey map with steps, commands, and touchpoints

Phase 2: Emotional Design (1 day)

  • Techniques: Emotional arc design | form follows feeling | transition analysis
  • Question: "How should the user FEEL at each step?"
  • Output: Emotional annotations on journey map

Phase 3: TUI Prototyping (1-3 days)

  • Techniques: Progressive fidelity | ASCII mockups | TUI design patterns
  • Question: "What does each step look like?"
  • Output: TUI mockups for each journey step

Phase 4: Integration Check (1 day)

  • Techniques: Shared artifact tracking | horizontal coherence | CLI vocabulary
  • Question: "Do all pieces connect properly?"
  • Output: Validated journey with integration checkpoints

Journey Schema

schema_version: 1

journey:
  name: "{Goal Name}"
  goal: "{What user is trying to accomplish}"
  persona: "{User persona reference}"

  emotional_arc:
    start: "{Initial emotional state}"
    middle: "{Journey emotional state}"
    end: "{Final emotional state}"

steps:
  - id: 1
    name: "{Step Name}"
    command: "{CLI command or action}"

    tui_mockup: |
      +-- Step N: {Name} -----------------------------------------+
      | {ASCII representation of CLI output}                       |
      | ${variable} <-- tracked artifact                           |
      +------------------------------------------------------------+

    shared_artifacts:
      - name: "{artifact_name}"
        source: "{single source of truth file}"
        displayed_as: "${variable}"
        consumers: ["{list of places this appears}"]

    emotional_state:
      entry: "{How user feels entering step}"
      exit: "{How user feels after step}"

    integration_checkpoint: |
      {What must be validated before proceeding}

    failure_modes:
      - "{What can go wrong at this step — used by DISTILL for error scenario generation}"
      - "{Another failure scenario}"

    gherkin: |
      Scenario: {Step description}
        Given {precondition}
        When {action}
        Then {observable outcome}
        And shared artifact "${variable}" matches source

integration_validation:
  shared_artifact_consistency:
    - artifact: "{name}"
      must_match_across: [1, 2, 3]
      failure_message: "{Integration error description}"

changelog:
  - date: "{YYYY-MM-DD}"
    feature: "{feature-id}"
    change: "{What changed in this update}"

Read the full file on GitHub · 156 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. 8d ago First seen · 156 lines · 37 tokens per session scan A 8ebecd812e33

Subscribe to this mod's changes

nw-design-methodology is a skill published in the GitHub repository nWave-ai/nWave (610 stars, last pushed 6d ago), licensed MIT. It adds 37 tokens to every session and 1,190 once invoked, about $0.0002 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 2026-09-03.

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