A structured design-exploration workflow that turns a validated problem into three to five different solution directions before the team chooses one. It combines user-job analysis, competitor research, brainstorming, and evaluation.

It helps explore new products, existing-feature changes, or redesigns by researching alternatives, generating design directions, scoring them, and recommending one.

It reduces the risk of committing too early to the first idea and gives the team concrete alternatives to compare.

nw-diverge — Skill for Claude Code by nWave-ai/nWave

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-diverge

Clone the repo

git clone --depth 1 https://github.com/nWave-ai/nWave

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/nwave-ai/nwave/nw-diverge/github.svg)](https://agentmods.dev/skills/nwave-ai/nwave/nw-diverge)

Your own site

<a href="https://agentmods.dev/skills/nwave-ai/nwave/nw-diverge"><img src="https://agentmods.dev/badge/skills/nwave-ai/nwave/nw-diverge/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/nwave-ai/nwave/nw-diverge"><img src="https://agentmods.dev/badge/skills/nwave-ai/nwave/nw-diverge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 633 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.

Model	Per session	Once invoked
Fable 5.1	$0.00045	$0.00633
Opus 5.5	$0.00018	$0.00253
Sonnet 5.5	$0.00009	$0.00127
Haiku 4.5	$0.00005	$0.00063

Measured 2d ago against content hash c208e67f1f1b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

nw-diverge 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.

nWave/skills/nw-diverge/SKILL.md · 62 lines

How it starts

The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NW-DIVERGE

Authority

DIVERGE updates the durable docs/product/jobs.yaml (the validated job, opportunity scores, changelog). It never writes a per-delivery decision ledger. recommendation.md and its supporting artifacts are the ephemeral workspace read while this delivery is open, not a second authority.

Required Pass

Job (JTBD) -- extract and elevate the job from the request or docs/product/vision.md/DISCOVER evidence, at strategic or physical level, not tactical. Produce functional/emotional/social statements and minimum 3 ODI outcome statements.
Competitive research -- invoke nw-researcher for evidence-grounded mapping of how existing products serve the job, including at least one non-obvious alternative.
Brainstorming -- frame the HMW question, apply SCAMPER, generate 6 structurally diverse options (mechanism, assumption and cost differ) by stating a probability per candidate and sampling the tails; name each option with the requester's words where they exist and mark coined names.
Taste evaluation -- apply the DVF filter, score surviving options on the 4 locked-weight taste criteria, produce a traceable ranking with a dissenting case for the second-place option.
Peer review -- nw-diverger-reviewer validates all 5 dimensions, maximum 2 revision iterations.

Handoff

Update docs/product/jobs.yaml once with the validated job and a changelog entry referencing this feature-id. Return the recommendation and decision statement; do not author a wave-decisions.md or any other per-wave ledger.

DIVERGE-RESULT
verdict: PASS | NEEDS_INPUT
job: <JOB-id, statement>
options: <count generated, count survived>
recommended: <direction phrased by mechanism in the requester's vocabulary> -- <one-line rationale>
dissent: <second-place direction phrased by mechanism> -- <why it might win under different assumptions>
ssot: <docs/product/jobs.yaml updated>

The recommended and dissent lines use the mechanism in the requester's vocabulary; coined handles and their name_origin stay in the scoring table inside taste-evaluation.md.

Read the full file on GitHub · 62 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.

2d ago Changed · +6 lines c208e67f1f1b
4d ago Changed · -108 lines fe6455a6ab8d
2mo ago First seen · 164 lines · 45 tokens per session scan A 70b9da265d91

Subscribe to this mod's changes

nw-diverge is a skill published in the GitHub repository nWave-ai/nWave (632 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 633 once invoked, about $0.0002 per session on Opus 5.5. 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.

Claude Code Design and UX DevOps and cloud Planning TDD agentic-ai ai software-architecture

nw-diverge next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
nw-divergenWave-ai/nWave	Skill	632	yesterday	MIT	A	45	Claude Code
tddkarthikrshet/aiskills	Skill	4	8d ago	none	A	53	Claude Code, Codex
tdd-enforcementa5c-ai/babysitter	Skill	1.9k	5d ago	MIT	A	33	Claude Code
law-of-similarityOwl-Listener/designer-skills	Skill	3.3k	2mo ago	MIT	A	47	Claude Code
aesthetic-usabilityOwl-Listener/designer-skills	Skill	3.3k	2mo ago	MIT	A	59	Claude Code
version-control-strategyOwl-Listener/designer-skills	Skill	3.3k	2mo ago	MIT	A	50	Claude Code
outsystems-design-to-appOutSystems/outsystems-mcp	Skill	43	yesterday	MIT	A	236	Claude Code, Codex