How do I install the Nw Diverge skill?

Run npx skillmds@latest add nwave-ai/nw-diverge-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Nw Diverge safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Nw Diverge?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Nw Diverge free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Nw Diverge?

nWave-ai (@nwave-ai) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Nw Diverge by nwave-ai — Agent Skill

Name: Nw Diverge
Author: nWave-ai

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.

nWave-ai Updated Sep 21, 2026

File contents

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).
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: <option> -- <one-line rationale>
dissent: <second-place option> -- <why it might win under different assumptions>
ssot: <docs/product/jobs.yaml updated>

---name: nw-diverge-2description: 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.---# NW-DIVERGE## AuthorityDIVERGE updates the durable `docs/product/jobs.yaml` (the validated job,opportunity scores, changelog). It never writes a per-delivery decisionledger. `recommendation.md` and its supporting artifacts are the ephemeralworkspace read while this delivery is open, not a second authority.## Required Pass1. **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).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.## HandoffUpdate `docs/product/jobs.yaml` once with the validated job and a changelogentry referencing this feature-id. Return the recommendation and decisionstatement; do not author a `wave-decisions.md` or any other per-wave ledger.```textDIVERGE-RESULTverdict: PASS | NEEDS_INPUTjob: <JOB-id, statement>options: <count generated, count survived>recommended: <option> -- <one-line rationale>dissent: <second-place option> -- <why it might win under different assumptions>ssot: <docs/product/jobs.yaml updated>```

Frequently asked questions