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Nw Discuss · nwave-ai | DecimalAI

productivityby nwave-ai

Nw Discuss

nwave-ai/nw-discuss

Source nwave-ai/nwave ↗License MIT

Conducts Jobs-to-be-Done analysis, UX journey design, and requirements gathering through interactive discovery.

SkillScore73Maintained

Automatic

Product Management pack

Last verified 8/17/2026

What it changes

Passed 12 of 17 test cases with the skill, and 4 of 17 without it.

Without skill23%

With skill73%

Checks it passed that the model alone missed

Defaults density resolution to lean mode.
Defaults expansion prompt setting to ask-intelligent.
Sets the wave field value to DISCUSS in audit event payloads.

and 10 more in the full report

11 fixed5 passed either way6 still failing0 broke

Pass-rate lift: +50 pp
Tokens: +402%
Agent turns: 0%
Response time: -45%

Model gemini-3.6-flashMeasured 8/17/2026v116 of 22 cases passed with skill · 17 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/nwave-ai-nw-discuss/SKILL.md https://app.decimal.ai/s/nwave-ai-nw-discuss/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add nwave-ai-nw-discuss, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/nwave-ai-nw-discuss/ and pins it in .decimal/skills.lock

decimalai skills add nwave-ai-nw-discuss

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/nwave-ai-nw-discuss/SKILL.md https://app.decimal.ai/s/nwave-ai-nw-discuss/SKILL.md

Raw file: /s/nwave-ai-nw-discuss/SKILL.md ↗ · machine-readable summary at /s/nwave-ai-nw-discuss.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 11

Prompt

When reading global configuration without density overrides during requirement generation, what hard default mode and expansion prompt setting apply?

What was checked, without and with the skill
Checked	Without skill	With skill
Defaults density resolution to lean mode.	Missed	Passed
Defaults expansion prompt setting to ask-intelligent.	Missed	Passed

case-13 · gemini-3.6-flash · 8/17/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md341 linessingle file

NW-DISCUSS: Jobs-to-be-Done Analysis, UX Journey Design, and Requirements Gathering

Wave: DISCUSS (wave 2 of 6) | Agent: Luna (nw-product-owner) | Command: /nw-discuss

Overview

Execute DISCUSS wave through Luna's integrated workflow: JTBD analysis|UX journey discovery|emotional arc design|shared artifact tracking|requirements gathering|user story creation|acceptance criteria definition. Luna uncovers jobs users accomplish, maps to journeys and requirements, handles complete lifecycle from user motivations through DoR-validated stories ready for DESIGN. Establishes the acceptance-test foundation.

For greenfield projects (no src/ code, no docs/feature/ history), Luna proposes Walking Skeleton as Feature 0.

Output Tiers (per D2)

Provenance: feature lean-wave-documentation — D2 (schema-typed sections), D10 (one-line expansion descriptions), DDD-7 (DISCUSS pilot wave), D6 (install-time pedagogical prompt). Tier-1 [REF] sections (always emitted) + Tier-2 EXPANSION CATALOG items (lazy, on-demand) are the two output bands. Full contract: nWave/skills/nw-density-resolution-contract/SKILL.md.

Tier-1 [REF] — always emitted

Under ## Wave: DISCUSS / [REF] <Section> headings:

Persona ID — one-line user identifier mapped to the journey
JTBD one-liner — single-sentence Job-to-be-Done statement
Locked decisions — D-numbered design decisions with verdicts
User stories with elevator pitches — every story has Before/After/Decision-enabled triplet
Acceptance criteria (ACs) — testable, embedded per story
Definition of Done (DoD) — 9-item checklist
Out-of-scope — explicit non-goals
WS strategy — A/B/C/D per Mandate 5
Driving ports — inbound surfaces (CLI, skill, HTTP)
Pre-requisites — dependencies on prior waves or features

Tier-2 EXPANSION CATALOG — lazy, on-demand (per D10)

Rendered under ## Wave: DISCUSS / [WHY|HOW] <Section> only when requested via --expand <id> (DDD-2), the wave-end menu (expansion_prompt = "ask" or "ask-intelligent"), mode = "full" auto-expansion, or an ad-hoc user request mid-session.

Expansion ID	Tier label	One-line description
`jtbd-narrative`	[WHY]	Full JTBD analysis: job dimensions (functional/emotional/social), four forces, opportunity scores
`persona-narrative`	[WHY]	Extended persona: goals, frustrations, mental model, vocabulary glossary
`alternatives-considered`	[WHY]	Decision rationale: alternatives weighed and rejected per locked decision
`migration-playbook`	[HOW]	Step-by-step migration guide for users on a prior version
`journey-deep-dive`	[HOW]	Full UX journey: emotional arc, shared artifacts registry, error-path map

Track record

Benchmark

12 / 17

test cases passed, vs 4 / 17 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

nwave-ai / nwave

nWave/skills/nw-discuss/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

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nwave-ai/nw-discoverConducts evidence-based product discovery through customer interviews and assumption testing. Use at project start to validate problem-solution fit.Close match+71 pp pass-rate lift

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