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/nw-diverge

Generates 3-5 divergent design directions through JTBD analysis, competitive research, structured brainstorming, and taste evaluation before convergence. Use when the team has a validated problem but hasn't chosen a solution approach.

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nwave
628151 skills34 agents27 commands

Claude Code

$ npx -y skills add nWave-ai/nWave --skill nw-diverge --agent claude-code

SKILL.md

nw-diverge.SKILL.md
name: nw-diverge
description: "Generates 3-5 divergent design directions through JTBD analysis, competitive research, structured brainstorming, and taste evaluation before convergence. Use when the team has a validated problem but hasn't chosen a solution approach."
user-invocable: true
argument-hint: '[feature-id] --work-type=[new-product|brownfield|pivot]'

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

1. **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. 2. **Competitive research** -- invoke `nw-researcher` for evidence-grounded mapping of how existing products serve the job, including at least one non-obvious alternative. 3. **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. 4. **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. 5. **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.

Human-readable authority

Return changed feature decisions to the Product Owner rather than editing a generated brief. Use current full briefs and HTML when useful; `jobs.yaml` is not itself a generated feature brief. Read `nw-doc-as-artifact` for human review. No wave-entry preference or expansion offer is required.

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@nwave-ai
Ships withnwave

AI agents that guide you from idea to working code, with human judgment at every gate. nWave runs inside Claude Code. It breaks feature delivery into seven waves (discover, diverge, discuss, design, devops, distill, deliver).

628151 skills34 agents
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Stars on GitHub

Momentum

stars in total
628
Star history of nWave-ai/nWave on GitHub, a chart by star-history.com

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Questions about nw-diverge.

Which coding agents can use nw-diverge?
nw-diverge installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.